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You searched for +publisher:"University of Michigan" +contributor:("Neuhoff, David L"). Showing records 1 – 30 of 33 total matches.

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University of Michigan

1. Nazari, Ali. Error Exponent for Discrete Memoryless Multiple-Access Channels.

Degree: PhD, Electrical Engineering: Systems, 2011, University of Michigan

 This work addresses the problem of analyzing the best possible systems for communicating over a multiple-access channel (MAC) without feedback in the discrete memoryless setting.… (more)

Subjects/Keywords: Network Information Theory; Method of Types, Typical Sequences; Spehre Packing; Random Coding; Multiple-Access Channels; Error Exponent; Electrical Engineering; Engineering

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APA (6th Edition):

Nazari, A. (2011). Error Exponent for Discrete Memoryless Multiple-Access Channels. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/86432

Chicago Manual of Style (16th Edition):

Nazari, Ali. “Error Exponent for Discrete Memoryless Multiple-Access Channels.” 2011. Doctoral Dissertation, University of Michigan. Accessed October 27, 2020. http://hdl.handle.net/2027.42/86432.

MLA Handbook (7th Edition):

Nazari, Ali. “Error Exponent for Discrete Memoryless Multiple-Access Channels.” 2011. Web. 27 Oct 2020.

Vancouver:

Nazari A. Error Exponent for Discrete Memoryless Multiple-Access Channels. [Internet] [Doctoral dissertation]. University of Michigan; 2011. [cited 2020 Oct 27]. Available from: http://hdl.handle.net/2027.42/86432.

Council of Science Editors:

Nazari A. Error Exponent for Discrete Memoryless Multiple-Access Channels. [Doctoral Dissertation]. University of Michigan; 2011. Available from: http://hdl.handle.net/2027.42/86432


University of Michigan

2. Zhai, Yuanhao. Perceptual Image Similarity Metrics and Applications.

Degree: PhD, Electrical Engineering: Systems, 2015, University of Michigan

 This dissertation presents research in perceptual image similarity metrics and applications, e.g., content-based image retrieval, perceptual image compression, image similarity assessment and texture analysis. The… (more)

Subjects/Keywords: Texture and image similarity metric; Texture and image retrieval; Texture and image classification; Perceptual image compression; Subjective experiment; Bilevel image similarity; Electrical Engineering; Engineering

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APA (6th Edition):

Zhai, Y. (2015). Perceptual Image Similarity Metrics and Applications. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/113586

Chicago Manual of Style (16th Edition):

Zhai, Yuanhao. “Perceptual Image Similarity Metrics and Applications.” 2015. Doctoral Dissertation, University of Michigan. Accessed October 27, 2020. http://hdl.handle.net/2027.42/113586.

MLA Handbook (7th Edition):

Zhai, Yuanhao. “Perceptual Image Similarity Metrics and Applications.” 2015. Web. 27 Oct 2020.

Vancouver:

Zhai Y. Perceptual Image Similarity Metrics and Applications. [Internet] [Doctoral dissertation]. University of Michigan; 2015. [cited 2020 Oct 27]. Available from: http://hdl.handle.net/2027.42/113586.

Council of Science Editors:

Zhai Y. Perceptual Image Similarity Metrics and Applications. [Doctoral Dissertation]. University of Michigan; 2015. Available from: http://hdl.handle.net/2027.42/113586


University of Michigan

3. Prelee, Matthew A. Manhattan Cutset Sampling and Sensor Networks.

Degree: PhD, Electrical Engineering: Systems, 2016, University of Michigan

 Cutset sampling is a new approach to acquiring two-dimensional data, i.e., images, where values are recorded densely along straight lines. This type of sampling is… (more)

Subjects/Keywords: image sampling; sensor networks; Electrical Engineering; Engineering

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APA (6th Edition):

Prelee, M. A. (2016). Manhattan Cutset Sampling and Sensor Networks. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/120876

Chicago Manual of Style (16th Edition):

Prelee, Matthew A. “Manhattan Cutset Sampling and Sensor Networks.” 2016. Doctoral Dissertation, University of Michigan. Accessed October 27, 2020. http://hdl.handle.net/2027.42/120876.

MLA Handbook (7th Edition):

Prelee, Matthew A. “Manhattan Cutset Sampling and Sensor Networks.” 2016. Web. 27 Oct 2020.

Vancouver:

Prelee MA. Manhattan Cutset Sampling and Sensor Networks. [Internet] [Doctoral dissertation]. University of Michigan; 2016. [cited 2020 Oct 27]. Available from: http://hdl.handle.net/2027.42/120876.

Council of Science Editors:

Prelee MA. Manhattan Cutset Sampling and Sensor Networks. [Doctoral Dissertation]. University of Michigan; 2016. Available from: http://hdl.handle.net/2027.42/120876


University of Michigan

4. Balamesh, Ahmed Said Abdullah. Block-constrained methods of fixed-rate entropy-coded quantization.

Degree: PhD, Electrical Engineering: Systems, 1993, University of Michigan

 Entropy-coded scalar quantization (ECSQ) is an efficient method of data compression for analog sources. It performs within 1.53 dB of the distortion-rate function, which is… (more)

Subjects/Keywords: Engineering; Electronics and Electrical

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APA (6th Edition):

Balamesh, A. S. A. (1993). Block-constrained methods of fixed-rate entropy-coded quantization. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/103367

Chicago Manual of Style (16th Edition):

Balamesh, Ahmed Said Abdullah. “Block-constrained methods of fixed-rate entropy-coded quantization.” 1993. Doctoral Dissertation, University of Michigan. Accessed October 27, 2020. http://hdl.handle.net/2027.42/103367.

MLA Handbook (7th Edition):

Balamesh, Ahmed Said Abdullah. “Block-constrained methods of fixed-rate entropy-coded quantization.” 1993. Web. 27 Oct 2020.

Vancouver:

Balamesh ASA. Block-constrained methods of fixed-rate entropy-coded quantization. [Internet] [Doctoral dissertation]. University of Michigan; 1993. [cited 2020 Oct 27]. Available from: http://hdl.handle.net/2027.42/103367.

Council of Science Editors:

Balamesh ASA. Block-constrained methods of fixed-rate entropy-coded quantization. [Doctoral Dissertation]. University of Michigan; 1993. Available from: http://hdl.handle.net/2027.42/103367


University of Michigan

5. Marco, Daniel. Asymptotic quantization and applications to sensor networks.

Degree: PhD, Electrical engineering, 2004, University of Michigan

 This dissertation considers three asymptotic scalar quantization problems, the last of which is applied to sensor networks. First, the widely used additive noise model for… (more)

Subjects/Keywords: Applications; Asymptotic Quantization; Entropy; Noise; Sensor Networks

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APA (6th Edition):

Marco, D. (2004). Asymptotic quantization and applications to sensor networks. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/124496

Chicago Manual of Style (16th Edition):

Marco, Daniel. “Asymptotic quantization and applications to sensor networks.” 2004. Doctoral Dissertation, University of Michigan. Accessed October 27, 2020. http://hdl.handle.net/2027.42/124496.

MLA Handbook (7th Edition):

Marco, Daniel. “Asymptotic quantization and applications to sensor networks.” 2004. Web. 27 Oct 2020.

Vancouver:

Marco D. Asymptotic quantization and applications to sensor networks. [Internet] [Doctoral dissertation]. University of Michigan; 2004. [cited 2020 Oct 27]. Available from: http://hdl.handle.net/2027.42/124496.

Council of Science Editors:

Marco D. Asymptotic quantization and applications to sensor networks. [Doctoral Dissertation]. University of Michigan; 2004. Available from: http://hdl.handle.net/2027.42/124496


University of Michigan

6. Lyons, Daniel F., III. Fundamental limits of low-rate transform codes.

Degree: PhD, Electrical Engineering: Systems, 1992, University of Michigan

 We consider the performance of low-rate source codes for stationary Gaussian sources. We derive some initial properties of very-low-rate optimal quantizers. In particular, we analyze… (more)

Subjects/Keywords: Mathematics; Engineering, Electronics and Electrical

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APA (6th Edition):

Lyons, Daniel F., I. (1992). Fundamental limits of low-rate transform codes. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/103266

Chicago Manual of Style (16th Edition):

Lyons, Daniel F., III. “Fundamental limits of low-rate transform codes.” 1992. Doctoral Dissertation, University of Michigan. Accessed October 27, 2020. http://hdl.handle.net/2027.42/103266.

MLA Handbook (7th Edition):

Lyons, Daniel F., III. “Fundamental limits of low-rate transform codes.” 1992. Web. 27 Oct 2020.

Vancouver:

Lyons, Daniel F. I. Fundamental limits of low-rate transform codes. [Internet] [Doctoral dissertation]. University of Michigan; 1992. [cited 2020 Oct 27]. Available from: http://hdl.handle.net/2027.42/103266.

Council of Science Editors:

Lyons, Daniel F. I. Fundamental limits of low-rate transform codes. [Doctoral Dissertation]. University of Michigan; 1992. Available from: http://hdl.handle.net/2027.42/103266


University of Michigan

7. Lim, Jongtae. Joint and tandem source -channel coding with complexity and delay constraints.

Degree: PhD, Electrical engineering, 2001, University of Michigan

 Joint source-channel coding has been developed with the motivation that it can achieve better performance with less complexity and delay than tandem source-channel coding. However,… (more)

Subjects/Keywords: Complexity; Delay Constraints; Joint Source-channel Coding; Tandem Source-channel Coding

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APA (6th Edition):

Lim, J. (2001). Joint and tandem source -channel coding with complexity and delay constraints. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/125922

Chicago Manual of Style (16th Edition):

Lim, Jongtae. “Joint and tandem source -channel coding with complexity and delay constraints.” 2001. Doctoral Dissertation, University of Michigan. Accessed October 27, 2020. http://hdl.handle.net/2027.42/125922.

MLA Handbook (7th Edition):

Lim, Jongtae. “Joint and tandem source -channel coding with complexity and delay constraints.” 2001. Web. 27 Oct 2020.

Vancouver:

Lim J. Joint and tandem source -channel coding with complexity and delay constraints. [Internet] [Doctoral dissertation]. University of Michigan; 2001. [cited 2020 Oct 27]. Available from: http://hdl.handle.net/2027.42/125922.

Council of Science Editors:

Lim J. Joint and tandem source -channel coding with complexity and delay constraints. [Doctoral Dissertation]. University of Michigan; 2001. Available from: http://hdl.handle.net/2027.42/125922


University of Michigan

8. Ribas-Corbera, Jordi. Optimizing the motion vector accuracies in block-based video coding.

Degree: PhD, Electrical engineering, 1996, University of Michigan

 In advanced video coders, motion vectors are used to improve the prediction of the frame to be encoded. These motion vectors and the prediction error… (more)

Subjects/Keywords: Accuracies; Based; Block; Coding; Motion; Optimizing; Vector; Video

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APA (6th Edition):

Ribas-Corbera, J. (1996). Optimizing the motion vector accuracies in block-based video coding. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/130101

Chicago Manual of Style (16th Edition):

Ribas-Corbera, Jordi. “Optimizing the motion vector accuracies in block-based video coding.” 1996. Doctoral Dissertation, University of Michigan. Accessed October 27, 2020. http://hdl.handle.net/2027.42/130101.

MLA Handbook (7th Edition):

Ribas-Corbera, Jordi. “Optimizing the motion vector accuracies in block-based video coding.” 1996. Web. 27 Oct 2020.

Vancouver:

Ribas-Corbera J. Optimizing the motion vector accuracies in block-based video coding. [Internet] [Doctoral dissertation]. University of Michigan; 1996. [cited 2020 Oct 27]. Available from: http://hdl.handle.net/2027.42/130101.

Council of Science Editors:

Ribas-Corbera J. Optimizing the motion vector accuracies in block-based video coding. [Doctoral Dissertation]. University of Michigan; 1996. Available from: http://hdl.handle.net/2027.42/130101


University of Michigan

9. Hui, Dennis. Asymptotic performance and complexity of quantization.

Degree: PhD, Systems science, 1998, University of Michigan

 The classical theory of lossy source coding focuses on the performance, in terms of rate and distortion, of quantization. However, there is little understanding of… (more)

Subjects/Keywords: Asymptotic; Complexity; Performance; Quantization; Turing Machine

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APA (6th Edition):

Hui, D. (1998). Asymptotic performance and complexity of quantization. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/130998

Chicago Manual of Style (16th Edition):

Hui, Dennis. “Asymptotic performance and complexity of quantization.” 1998. Doctoral Dissertation, University of Michigan. Accessed October 27, 2020. http://hdl.handle.net/2027.42/130998.

MLA Handbook (7th Edition):

Hui, Dennis. “Asymptotic performance and complexity of quantization.” 1998. Web. 27 Oct 2020.

Vancouver:

Hui D. Asymptotic performance and complexity of quantization. [Internet] [Doctoral dissertation]. University of Michigan; 1998. [cited 2020 Oct 27]. Available from: http://hdl.handle.net/2027.42/130998.

Council of Science Editors:

Hui D. Asymptotic performance and complexity of quantization. [Doctoral Dissertation]. University of Michigan; 1998. Available from: http://hdl.handle.net/2027.42/130998


University of Michigan

10. McLaughlin, Steven William. Source-channel coding with applications to digital magnetic recording.

Degree: PhD, Electrical Engineering: Systems, 1992, University of Michigan

 This dissertation addresses several problems in combined source-channel coding, which is, essentially, the design of source codes with attention to the fact that they will… (more)

Subjects/Keywords: Engineering; Electronics and Electrical

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APA (6th Edition):

McLaughlin, S. W. (1992). Source-channel coding with applications to digital magnetic recording. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/103115

Chicago Manual of Style (16th Edition):

McLaughlin, Steven William. “Source-channel coding with applications to digital magnetic recording.” 1992. Doctoral Dissertation, University of Michigan. Accessed October 27, 2020. http://hdl.handle.net/2027.42/103115.

MLA Handbook (7th Edition):

McLaughlin, Steven William. “Source-channel coding with applications to digital magnetic recording.” 1992. Web. 27 Oct 2020.

Vancouver:

McLaughlin SW. Source-channel coding with applications to digital magnetic recording. [Internet] [Doctoral dissertation]. University of Michigan; 1992. [cited 2020 Oct 27]. Available from: http://hdl.handle.net/2027.42/103115.

Council of Science Editors:

McLaughlin SW. Source-channel coding with applications to digital magnetic recording. [Doctoral Dissertation]. University of Michigan; 1992. Available from: http://hdl.handle.net/2027.42/103115


University of Michigan

11. Kim, Sungill. Frog -in -the -Box codes and robust quantization.

Degree: PhD, Electrical engineering, 2001, University of Michigan

 The design of robust quantizers that are insensitive to channel noise has been a prominent problem in joint source-channel coding. In this thesis, a simple… (more)

Subjects/Keywords: Frog-in-the-box Codes; Index Assignments; Robust Quantization; Snake-in-the-box Codes; Source-channel Coding

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APA (6th Edition):

Kim, S. (2001). Frog -in -the -Box codes and robust quantization. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/127900

Chicago Manual of Style (16th Edition):

Kim, Sungill. “Frog -in -the -Box codes and robust quantization.” 2001. Doctoral Dissertation, University of Michigan. Accessed October 27, 2020. http://hdl.handle.net/2027.42/127900.

MLA Handbook (7th Edition):

Kim, Sungill. “Frog -in -the -Box codes and robust quantization.” 2001. Web. 27 Oct 2020.

Vancouver:

Kim S. Frog -in -the -Box codes and robust quantization. [Internet] [Doctoral dissertation]. University of Michigan; 2001. [cited 2020 Oct 27]. Available from: http://hdl.handle.net/2027.42/127900.

Council of Science Editors:

Kim S. Frog -in -the -Box codes and robust quantization. [Doctoral Dissertation]. University of Michigan; 2001. Available from: http://hdl.handle.net/2027.42/127900


University of Michigan

12. Teng, Chia-Yuan. Hierarchical data compression.

Degree: PhD, Electrical engineering, 1996, University of Michigan

 Data compression is the process of reducing the number of bits in a representation of some data. Since the advent of digital techniques for storage… (more)

Subjects/Keywords: Compression; Data; Hierarchical; Image Processing; Text Processing

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APA (6th Edition):

Teng, C. (1996). Hierarchical data compression. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/130137

Chicago Manual of Style (16th Edition):

Teng, Chia-Yuan. “Hierarchical data compression.” 1996. Doctoral Dissertation, University of Michigan. Accessed October 27, 2020. http://hdl.handle.net/2027.42/130137.

MLA Handbook (7th Edition):

Teng, Chia-Yuan. “Hierarchical data compression.” 1996. Web. 27 Oct 2020.

Vancouver:

Teng C. Hierarchical data compression. [Internet] [Doctoral dissertation]. University of Michigan; 1996. [cited 2020 Oct 27]. Available from: http://hdl.handle.net/2027.42/130137.

Council of Science Editors:

Teng C. Hierarchical data compression. [Doctoral Dissertation]. University of Michigan; 1996. Available from: http://hdl.handle.net/2027.42/130137


University of Michigan

13. Lee, Donghoon. Asymptotic quantization error and cell-conditioned two-stage vector quantization.

Degree: PhD, Electrical Engineering: Systems, 1990, University of Michigan

 An asymptotic formula is derived for the probability density of the error produced by scalar and vector quantization (VQ). The r-th moment of this density… (more)

Subjects/Keywords: Engineering; Electronics and Electrical

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APA (6th Edition):

Lee, D. (1990). Asymptotic quantization error and cell-conditioned two-stage vector quantization. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/105228

Chicago Manual of Style (16th Edition):

Lee, Donghoon. “Asymptotic quantization error and cell-conditioned two-stage vector quantization.” 1990. Doctoral Dissertation, University of Michigan. Accessed October 27, 2020. http://hdl.handle.net/2027.42/105228.

MLA Handbook (7th Edition):

Lee, Donghoon. “Asymptotic quantization error and cell-conditioned two-stage vector quantization.” 1990. Web. 27 Oct 2020.

Vancouver:

Lee D. Asymptotic quantization error and cell-conditioned two-stage vector quantization. [Internet] [Doctoral dissertation]. University of Michigan; 1990. [cited 2020 Oct 27]. Available from: http://hdl.handle.net/2027.42/105228.

Council of Science Editors:

Lee D. Asymptotic quantization error and cell-conditioned two-stage vector quantization. [Doctoral Dissertation]. University of Michigan; 1990. Available from: http://hdl.handle.net/2027.42/105228


University of Michigan

14. Horowitz, Michael Joseph. Perceptual image coding using a cortical snapshot model of human vision.

Degree: PhD, Electrical engineering, 1998, University of Michigan

 We introduce a two stage image coding algorithm called Perceptual Pruning (PP). In the first stage, a perceptually lossless reproduction is produced using an adapted… (more)

Subjects/Keywords: Cortical; Human; Image Coding; Model; Perceptual; Snapshot; Using; Vision

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APA (6th Edition):

Horowitz, M. J. (1998). Perceptual image coding using a cortical snapshot model of human vision. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/130993

Chicago Manual of Style (16th Edition):

Horowitz, Michael Joseph. “Perceptual image coding using a cortical snapshot model of human vision.” 1998. Doctoral Dissertation, University of Michigan. Accessed October 27, 2020. http://hdl.handle.net/2027.42/130993.

MLA Handbook (7th Edition):

Horowitz, Michael Joseph. “Perceptual image coding using a cortical snapshot model of human vision.” 1998. Web. 27 Oct 2020.

Vancouver:

Horowitz MJ. Perceptual image coding using a cortical snapshot model of human vision. [Internet] [Doctoral dissertation]. University of Michigan; 1998. [cited 2020 Oct 27]. Available from: http://hdl.handle.net/2027.42/130993.

Council of Science Editors:

Horowitz MJ. Perceptual image coding using a cortical snapshot model of human vision. [Doctoral Dissertation]. University of Michigan; 1998. Available from: http://hdl.handle.net/2027.42/130993


University of Michigan

15. Moo, Peter Warren. Asymptotic analysis of lattice-based quantization.

Degree: PhD, Electrical engineering, 1998, University of Michigan

 Lattice-based quantization is an attractive method of vector quantization, because of its potentially low complexity and its ability to form nearly spherical cells. In this… (more)

Subjects/Keywords: Asymptotic Analysis; Compressor Functions; Lattice-based Quantization

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APA (6th Edition):

Moo, P. W. (1998). Asymptotic analysis of lattice-based quantization. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/131490

Chicago Manual of Style (16th Edition):

Moo, Peter Warren. “Asymptotic analysis of lattice-based quantization.” 1998. Doctoral Dissertation, University of Michigan. Accessed October 27, 2020. http://hdl.handle.net/2027.42/131490.

MLA Handbook (7th Edition):

Moo, Peter Warren. “Asymptotic analysis of lattice-based quantization.” 1998. Web. 27 Oct 2020.

Vancouver:

Moo PW. Asymptotic analysis of lattice-based quantization. [Internet] [Doctoral dissertation]. University of Michigan; 1998. [cited 2020 Oct 27]. Available from: http://hdl.handle.net/2027.42/131490.

Council of Science Editors:

Moo PW. Asymptotic analysis of lattice-based quantization. [Doctoral Dissertation]. University of Michigan; 1998. Available from: http://hdl.handle.net/2027.42/131490


University of Michigan

16. Holt, Kevin M. Methods and design algorithms for predictive quantization of signals and images.

Degree: PhD, Electrical engineering, 2004, University of Michigan

 This dissertation is concerned with methods for predictive quantization of signals and images, as well as code design algorithms for these methods. Our first contribution… (more)

Subjects/Keywords: Algorithms; Design; Deterministic Annealing; Image Compression; Images; Methods; Predictive Quantization; Quadtree Coding; Signals

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APA (6th Edition):

Holt, K. M. (2004). Methods and design algorithms for predictive quantization of signals and images. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/124075

Chicago Manual of Style (16th Edition):

Holt, Kevin M. “Methods and design algorithms for predictive quantization of signals and images.” 2004. Doctoral Dissertation, University of Michigan. Accessed October 27, 2020. http://hdl.handle.net/2027.42/124075.

MLA Handbook (7th Edition):

Holt, Kevin M. “Methods and design algorithms for predictive quantization of signals and images.” 2004. Web. 27 Oct 2020.

Vancouver:

Holt KM. Methods and design algorithms for predictive quantization of signals and images. [Internet] [Doctoral dissertation]. University of Michigan; 2004. [cited 2020 Oct 27]. Available from: http://hdl.handle.net/2027.42/124075.

Council of Science Editors:

Holt KM. Methods and design algorithms for predictive quantization of signals and images. [Doctoral Dissertation]. University of Michigan; 2004. Available from: http://hdl.handle.net/2027.42/124075


University of Michigan

17. Na Ilju. Optimal redundant index assignment for robust vector quantization: An approach to joint source -channel coding.

Degree: PhD, Electrical engineering, 2007, University of Michigan

 This thesis deals with the redundant index assignment (IA) problem for a type of noisy channel vector quantization (VQ) system, called a robust VQ system.… (more)

Subjects/Keywords: Approach; Index Assignment; Joint Source-channel Coding; Optimal; Redundant Binary Switching; Robust; Vector Quantization

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APA (6th Edition):

Ilju, N. (2007). Optimal redundant index assignment for robust vector quantization: An approach to joint source -channel coding. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/126782

Chicago Manual of Style (16th Edition):

Ilju, Na. “Optimal redundant index assignment for robust vector quantization: An approach to joint source -channel coding.” 2007. Doctoral Dissertation, University of Michigan. Accessed October 27, 2020. http://hdl.handle.net/2027.42/126782.

MLA Handbook (7th Edition):

Ilju, Na. “Optimal redundant index assignment for robust vector quantization: An approach to joint source -channel coding.” 2007. Web. 27 Oct 2020.

Vancouver:

Ilju N. Optimal redundant index assignment for robust vector quantization: An approach to joint source -channel coding. [Internet] [Doctoral dissertation]. University of Michigan; 2007. [cited 2020 Oct 27]. Available from: http://hdl.handle.net/2027.42/126782.

Council of Science Editors:

Ilju N. Optimal redundant index assignment for robust vector quantization: An approach to joint source -channel coding. [Doctoral Dissertation]. University of Michigan; 2007. Available from: http://hdl.handle.net/2027.42/126782


University of Michigan

18. Kashyap, Navin. Data synchronization with timing.

Degree: PhD, Electrical engineering, 2001, University of Michigan

 An important aspect of communications that has been overlooked by information theory pertains to the encoding and decoding of the time indices of the transmitted… (more)

Subjects/Keywords: Data Synchronization; Periodic Prefix-synchronized Codes; Sync-timing

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APA (6th Edition):

Kashyap, N. (2001). Data synchronization with timing. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/127845

Chicago Manual of Style (16th Edition):

Kashyap, Navin. “Data synchronization with timing.” 2001. Doctoral Dissertation, University of Michigan. Accessed October 27, 2020. http://hdl.handle.net/2027.42/127845.

MLA Handbook (7th Edition):

Kashyap, Navin. “Data synchronization with timing.” 2001. Web. 27 Oct 2020.

Vancouver:

Kashyap N. Data synchronization with timing. [Internet] [Doctoral dissertation]. University of Michigan; 2001. [cited 2020 Oct 27]. Available from: http://hdl.handle.net/2027.42/127845.

Council of Science Editors:

Kashyap N. Data synchronization with timing. [Doctoral Dissertation]. University of Michigan; 2001. Available from: http://hdl.handle.net/2027.42/127845


University of Michigan

19. Slyz, Marko John. Lossless image compression using combinations of simple components.

Degree: PhD, Electrical engineering, 2002, University of Michigan

 This dissertation proposes three new lossless compressors intended for digitized natural images. These compressors are either simple outright, or are complicated but consist mostly of… (more)

Subjects/Keywords: Combinations; Components; Data Compression; Local Models; Lossless Image Compression; Simple; Tree-based Classifiers; Using

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APA (6th Edition):

Slyz, M. J. (2002). Lossless image compression using combinations of simple components. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/123283

Chicago Manual of Style (16th Edition):

Slyz, Marko John. “Lossless image compression using combinations of simple components.” 2002. Doctoral Dissertation, University of Michigan. Accessed October 27, 2020. http://hdl.handle.net/2027.42/123283.

MLA Handbook (7th Edition):

Slyz, Marko John. “Lossless image compression using combinations of simple components.” 2002. Web. 27 Oct 2020.

Vancouver:

Slyz MJ. Lossless image compression using combinations of simple components. [Internet] [Doctoral dissertation]. University of Michigan; 2002. [cited 2020 Oct 27]. Available from: http://hdl.handle.net/2027.42/123283.

Council of Science Editors:

Slyz MJ. Lossless image compression using combinations of simple components. [Doctoral Dissertation]. University of Michigan; 2002. Available from: http://hdl.handle.net/2027.42/123283

20. Venkataramanan, Ramji. Information-theoretic Results on Communication Problems with Feed-forward and Feedback.

Degree: PhD, Electrical Engineering: Systems, 2008, University of Michigan

 As networked communication systems become increasingly sophisticated, understanding information flow in networks is a problem of central importance. Multi-user information theory attempts to understand various… (more)

Subjects/Keywords: Information Theory; Feed-forward; Source Coding; Feedback; Electrical Engineering; Engineering

University of Michigan 2008 Doctoral Committee: Associate Professor Sandeep P. Sadanandarao, Chair… 

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APA (6th Edition):

Venkataramanan, R. (2008). Information-theoretic Results on Communication Problems with Feed-forward and Feedback. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/61696

Chicago Manual of Style (16th Edition):

Venkataramanan, Ramji. “Information-theoretic Results on Communication Problems with Feed-forward and Feedback.” 2008. Doctoral Dissertation, University of Michigan. Accessed October 27, 2020. http://hdl.handle.net/2027.42/61696.

MLA Handbook (7th Edition):

Venkataramanan, Ramji. “Information-theoretic Results on Communication Problems with Feed-forward and Feedback.” 2008. Web. 27 Oct 2020.

Vancouver:

Venkataramanan R. Information-theoretic Results on Communication Problems with Feed-forward and Feedback. [Internet] [Doctoral dissertation]. University of Michigan; 2008. [cited 2020 Oct 27]. Available from: http://hdl.handle.net/2027.42/61696.

Council of Science Editors:

Venkataramanan R. Information-theoretic Results on Communication Problems with Feed-forward and Feedback. [Doctoral Dissertation]. University of Michigan; 2008. Available from: http://hdl.handle.net/2027.42/61696

21. Josan, Awlok S. Throughput Scaling and Data Gathering in Wireless Networks.

Degree: PhD, Electrical Engineering: Systems, 2011, University of Michigan

 This dissertation investigates three problems associated with wireless networks. First, throughput scaling in extended random access communication networks is examined. In these networks, the number… (more)

Subjects/Keywords: Throughput Scaling; Reliability; Sensor Placement; Electrical Engineering; Engineering

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APA (6th Edition):

Josan, A. S. (2011). Throughput Scaling and Data Gathering in Wireless Networks. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/86467

Chicago Manual of Style (16th Edition):

Josan, Awlok S. “Throughput Scaling and Data Gathering in Wireless Networks.” 2011. Doctoral Dissertation, University of Michigan. Accessed October 27, 2020. http://hdl.handle.net/2027.42/86467.

MLA Handbook (7th Edition):

Josan, Awlok S. “Throughput Scaling and Data Gathering in Wireless Networks.” 2011. Web. 27 Oct 2020.

Vancouver:

Josan AS. Throughput Scaling and Data Gathering in Wireless Networks. [Internet] [Doctoral dissertation]. University of Michigan; 2011. [cited 2020 Oct 27]. Available from: http://hdl.handle.net/2027.42/86467.

Council of Science Editors:

Josan AS. Throughput Scaling and Data Gathering in Wireless Networks. [Doctoral Dissertation]. University of Michigan; 2011. Available from: http://hdl.handle.net/2027.42/86467

22. Ghasemian Sahebi, Aria. Group, Lattice and Polar Codes for Multi-terminal Communications.

Degree: PhD, Electrical Engineering: Systems, 2014, University of Michigan

 We study the performance of algebraic codes for multi-terminal communications. This thesis consists of three parts: In the rst part, we analyze the performance of… (more)

Subjects/Keywords: Information Theory; Coding Theory; Group Codes; Polar Codes; Lattice Codes; Electrical Engineering; Engineering

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APA (6th Edition):

Ghasemian Sahebi, A. (2014). Group, Lattice and Polar Codes for Multi-terminal Communications. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/108876

Chicago Manual of Style (16th Edition):

Ghasemian Sahebi, Aria. “Group, Lattice and Polar Codes for Multi-terminal Communications.” 2014. Doctoral Dissertation, University of Michigan. Accessed October 27, 2020. http://hdl.handle.net/2027.42/108876.

MLA Handbook (7th Edition):

Ghasemian Sahebi, Aria. “Group, Lattice and Polar Codes for Multi-terminal Communications.” 2014. Web. 27 Oct 2020.

Vancouver:

Ghasemian Sahebi A. Group, Lattice and Polar Codes for Multi-terminal Communications. [Internet] [Doctoral dissertation]. University of Michigan; 2014. [cited 2020 Oct 27]. Available from: http://hdl.handle.net/2027.42/108876.

Council of Science Editors:

Ghasemian Sahebi A. Group, Lattice and Polar Codes for Multi-terminal Communications. [Doctoral Dissertation]. University of Michigan; 2014. Available from: http://hdl.handle.net/2027.42/108876

23. Krithivasan, Dinesh. Algebraic Structures for Multi-Terminal Communication Systems.

Degree: PhD, Electrical Engineering: Systems, 2010, University of Michigan

 We study a distributed source coding problem with multiple encoders, a central decoder and a joint distortion criterion. The encoders do not communicate with each… (more)

Subjects/Keywords: Information Theory; Distributed Source Coding; Lattice Coding; Abelian Group Codes; Structured Codes; Electrical Engineering; Engineering

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APA (6th Edition):

Krithivasan, D. (2010). Algebraic Structures for Multi-Terminal Communication Systems. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/75917

Chicago Manual of Style (16th Edition):

Krithivasan, Dinesh. “Algebraic Structures for Multi-Terminal Communication Systems.” 2010. Doctoral Dissertation, University of Michigan. Accessed October 27, 2020. http://hdl.handle.net/2027.42/75917.

MLA Handbook (7th Edition):

Krithivasan, Dinesh. “Algebraic Structures for Multi-Terminal Communication Systems.” 2010. Web. 27 Oct 2020.

Vancouver:

Krithivasan D. Algebraic Structures for Multi-Terminal Communication Systems. [Internet] [Doctoral dissertation]. University of Michigan; 2010. [cited 2020 Oct 27]. Available from: http://hdl.handle.net/2027.42/75917.

Council of Science Editors:

Krithivasan D. Algebraic Structures for Multi-Terminal Communication Systems. [Doctoral Dissertation]. University of Michigan; 2010. Available from: http://hdl.handle.net/2027.42/75917

24. Adams, Norman Herkamp. A Model of Head-Related Transfer Functions based on a State-Space Analysis.

Degree: PhD, Electrical Engineering: Systems, 2008, University of Michigan

 This dissertation develops and validates a novel state-space method for binaural auditory display. Binaural displays seek to immerse a listener in a 3D virtual auditory… (more)

Subjects/Keywords: Signal Processing; Acoustics; Binaural Display; Head-Related Transfer Function; State-Space Order Reduction; Psychoacoustics; Electrical Engineering; Engineering

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APA (6th Edition):

Adams, N. H. (2008). A Model of Head-Related Transfer Functions based on a State-Space Analysis. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/58485

Chicago Manual of Style (16th Edition):

Adams, Norman Herkamp. “A Model of Head-Related Transfer Functions based on a State-Space Analysis.” 2008. Doctoral Dissertation, University of Michigan. Accessed October 27, 2020. http://hdl.handle.net/2027.42/58485.

MLA Handbook (7th Edition):

Adams, Norman Herkamp. “A Model of Head-Related Transfer Functions based on a State-Space Analysis.” 2008. Web. 27 Oct 2020.

Vancouver:

Adams NH. A Model of Head-Related Transfer Functions based on a State-Space Analysis. [Internet] [Doctoral dissertation]. University of Michigan; 2008. [cited 2020 Oct 27]. Available from: http://hdl.handle.net/2027.42/58485.

Council of Science Editors:

Adams NH. A Model of Head-Related Transfer Functions based on a State-Space Analysis. [Doctoral Dissertation]. University of Michigan; 2008. Available from: http://hdl.handle.net/2027.42/58485

25. Shirani Chaharsooghi, Farhad. Structural Results for Coding Over Communication Networks.

Degree: PhD, Electrical Engineering: Systems, 2017, University of Michigan

 We study the structure of optimality achieving codes in network communications. The thesis consists of two parts: in the first part, we investigate the role… (more)

Subjects/Keywords: Multiterminal Communication; Information Theory; Linear Code; Lattice Code; Network Communication; Maximum Correlation; Electrical Engineering; Engineering

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APA (6th Edition):

Shirani Chaharsooghi, F. (2017). Structural Results for Coding Over Communication Networks. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/137059

Chicago Manual of Style (16th Edition):

Shirani Chaharsooghi, Farhad. “Structural Results for Coding Over Communication Networks.” 2017. Doctoral Dissertation, University of Michigan. Accessed October 27, 2020. http://hdl.handle.net/2027.42/137059.

MLA Handbook (7th Edition):

Shirani Chaharsooghi, Farhad. “Structural Results for Coding Over Communication Networks.” 2017. Web. 27 Oct 2020.

Vancouver:

Shirani Chaharsooghi F. Structural Results for Coding Over Communication Networks. [Internet] [Doctoral dissertation]. University of Michigan; 2017. [cited 2020 Oct 27]. Available from: http://hdl.handle.net/2027.42/137059.

Council of Science Editors:

Shirani Chaharsooghi F. Structural Results for Coding Over Communication Networks. [Doctoral Dissertation]. University of Michigan; 2017. Available from: http://hdl.handle.net/2027.42/137059

26. Yee, Victoria B. Studies on the Asymptotic Behavior of Parameters in Optimal Scalar Quantization.

Degree: PhD, Electrical Engineering: Systems, 2010, University of Michigan

 The goal in digital device design is to achieve high performance at low cost, and to pursue this goal, all components of the device must… (more)

Subjects/Keywords: Quantization; Scalar Quantization; Optimal Quantization; Asymptotic Quantization; Electrical Engineering; Engineering

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APA (6th Edition):

Yee, V. B. (2010). Studies on the Asymptotic Behavior of Parameters in Optimal Scalar Quantization. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/76011

Chicago Manual of Style (16th Edition):

Yee, Victoria B. “Studies on the Asymptotic Behavior of Parameters in Optimal Scalar Quantization.” 2010. Doctoral Dissertation, University of Michigan. Accessed October 27, 2020. http://hdl.handle.net/2027.42/76011.

MLA Handbook (7th Edition):

Yee, Victoria B. “Studies on the Asymptotic Behavior of Parameters in Optimal Scalar Quantization.” 2010. Web. 27 Oct 2020.

Vancouver:

Yee VB. Studies on the Asymptotic Behavior of Parameters in Optimal Scalar Quantization. [Internet] [Doctoral dissertation]. University of Michigan; 2010. [cited 2020 Oct 27]. Available from: http://hdl.handle.net/2027.42/76011.

Council of Science Editors:

Yee VB. Studies on the Asymptotic Behavior of Parameters in Optimal Scalar Quantization. [Doctoral Dissertation]. University of Michigan; 2010. Available from: http://hdl.handle.net/2027.42/76011

27. Srivastava, Somesh. Accelerated Statistical Image Reconstruction Algorithms and Simplified Cost Functions for X-ray Computed Tomography.

Degree: PhD, Electrical Engineering: Systems, 2008, University of Michigan

 Statistical image reconstruction methods are poised to replace traditional methods like filtered back-projection (FBP) in commercial X-ray computed tomography (CT) scanners. Statistical methods offer many… (more)

Subjects/Keywords: X-ray Computer Tomography; Electrical Engineering; Engineering

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APA (6th Edition):

Srivastava, S. (2008). Accelerated Statistical Image Reconstruction Algorithms and Simplified Cost Functions for X-ray Computed Tomography. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/60749

Chicago Manual of Style (16th Edition):

Srivastava, Somesh. “Accelerated Statistical Image Reconstruction Algorithms and Simplified Cost Functions for X-ray Computed Tomography.” 2008. Doctoral Dissertation, University of Michigan. Accessed October 27, 2020. http://hdl.handle.net/2027.42/60749.

MLA Handbook (7th Edition):

Srivastava, Somesh. “Accelerated Statistical Image Reconstruction Algorithms and Simplified Cost Functions for X-ray Computed Tomography.” 2008. Web. 27 Oct 2020.

Vancouver:

Srivastava S. Accelerated Statistical Image Reconstruction Algorithms and Simplified Cost Functions for X-ray Computed Tomography. [Internet] [Doctoral dissertation]. University of Michigan; 2008. [cited 2020 Oct 27]. Available from: http://hdl.handle.net/2027.42/60749.

Council of Science Editors:

Srivastava S. Accelerated Statistical Image Reconstruction Algorithms and Simplified Cost Functions for X-ray Computed Tomography. [Doctoral Dissertation]. University of Michigan; 2008. Available from: http://hdl.handle.net/2027.42/60749

28. Reyes, Matthew G. Cutset Based Processing and Compression of Markov Random Fields.

Degree: PhD, Electrical Engineering: Systems, 2011, University of Michigan

 This thesis presents results related to the compression a Markov random field (MRF) bfX defined on a graph G=(V,E) by first losslessly compressing a cutset… (more)

Subjects/Keywords: Markov Random Fields; Source Coding; Belief Propagation; Cutset; Ising Model; Monotonicity; Electrical Engineering; Engineering

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APA (6th Edition):

Reyes, M. G. (2011). Cutset Based Processing and Compression of Markov Random Fields. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/84510

Chicago Manual of Style (16th Edition):

Reyes, Matthew G. “Cutset Based Processing and Compression of Markov Random Fields.” 2011. Doctoral Dissertation, University of Michigan. Accessed October 27, 2020. http://hdl.handle.net/2027.42/84510.

MLA Handbook (7th Edition):

Reyes, Matthew G. “Cutset Based Processing and Compression of Markov Random Fields.” 2011. Web. 27 Oct 2020.

Vancouver:

Reyes MG. Cutset Based Processing and Compression of Markov Random Fields. [Internet] [Doctoral dissertation]. University of Michigan; 2011. [cited 2020 Oct 27]. Available from: http://hdl.handle.net/2027.42/84510.

Council of Science Editors:

Reyes MG. Cutset Based Processing and Compression of Markov Random Fields. [Doctoral Dissertation]. University of Michigan; 2011. Available from: http://hdl.handle.net/2027.42/84510

29. Padakandla, Arun Raghuthama. An Algebraic Framework for Multi-Terminal Communication.

Degree: PhD, Electrical Engineering: Systems, 2014, University of Michigan

 We consider the problem of developing coding techniques and characterizing information-theoretic achievable rate regions for the following three multi-terminal communication channels. Firstly, we study an… (more)

Subjects/Keywords: Multi-terminal Information Theory; Achievable Rate Regions; Three User Broadcast Channel; Three User Interference Channel; Coset Codes; Multiple Access Channel With Distributed States; Electrical Engineering; Engineering

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APA (6th Edition):

Padakandla, A. R. (2014). An Algebraic Framework for Multi-Terminal Communication. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/107264

Chicago Manual of Style (16th Edition):

Padakandla, Arun Raghuthama. “An Algebraic Framework for Multi-Terminal Communication.” 2014. Doctoral Dissertation, University of Michigan. Accessed October 27, 2020. http://hdl.handle.net/2027.42/107264.

MLA Handbook (7th Edition):

Padakandla, Arun Raghuthama. “An Algebraic Framework for Multi-Terminal Communication.” 2014. Web. 27 Oct 2020.

Vancouver:

Padakandla AR. An Algebraic Framework for Multi-Terminal Communication. [Internet] [Doctoral dissertation]. University of Michigan; 2014. [cited 2020 Oct 27]. Available from: http://hdl.handle.net/2027.42/107264.

Council of Science Editors:

Padakandla AR. An Algebraic Framework for Multi-Terminal Communication. [Doctoral Dissertation]. University of Michigan; 2014. Available from: http://hdl.handle.net/2027.42/107264

30. Heidari Khoozani, Mohsen. Capacity, Error Exponent, and Structural Results for Communication Networks.

Degree: PhD, Electrical Engineering: Systems, 2018, University of Michigan

 In various multi-terminal communication scenarios, contrary to point-to-point communication, characterization of fundamental limits such as capacity and error exponent is still an open problem. We… (more)

Subjects/Keywords: Information Theory; Multi-terminal Communications; Structured Codes for Multi-terminal Communications; Multiple Access with Feedback; Error Exponent; Electrical Engineering; Engineering

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APA (6th Edition):

Heidari Khoozani, M. (2018). Capacity, Error Exponent, and Structural Results for Communication Networks. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/149959

Chicago Manual of Style (16th Edition):

Heidari Khoozani, Mohsen. “Capacity, Error Exponent, and Structural Results for Communication Networks.” 2018. Doctoral Dissertation, University of Michigan. Accessed October 27, 2020. http://hdl.handle.net/2027.42/149959.

MLA Handbook (7th Edition):

Heidari Khoozani, Mohsen. “Capacity, Error Exponent, and Structural Results for Communication Networks.” 2018. Web. 27 Oct 2020.

Vancouver:

Heidari Khoozani M. Capacity, Error Exponent, and Structural Results for Communication Networks. [Internet] [Doctoral dissertation]. University of Michigan; 2018. [cited 2020 Oct 27]. Available from: http://hdl.handle.net/2027.42/149959.

Council of Science Editors:

Heidari Khoozani M. Capacity, Error Exponent, and Structural Results for Communication Networks. [Doctoral Dissertation]. University of Michigan; 2018. Available from: http://hdl.handle.net/2027.42/149959

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