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You searched for +publisher:"McMaster University" +contributor:("Kirubarajan, Thia"). Showing records 1 – 19 of 19 total matches.

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McMaster University

1. Taghavi, Ehsan. Bias Estimation and Sensor Registration for Target Tracking.

Degree: PhD, 2016, McMaster University

The main idea of this thesis is to de ne and formulate the role of bias estimation in multitarget{multisensor scenarios as a general framework for… (more)

Subjects/Keywords: bias estimation; tracking; fusion

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APA (6th Edition):

Taghavi, E. (2016). Bias Estimation and Sensor Registration for Target Tracking. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/20028

Chicago Manual of Style (16th Edition):

Taghavi, Ehsan. “Bias Estimation and Sensor Registration for Target Tracking.” 2016. Doctoral Dissertation, McMaster University. Accessed July 16, 2019. http://hdl.handle.net/11375/20028.

MLA Handbook (7th Edition):

Taghavi, Ehsan. “Bias Estimation and Sensor Registration for Target Tracking.” 2016. Web. 16 Jul 2019.

Vancouver:

Taghavi E. Bias Estimation and Sensor Registration for Target Tracking. [Internet] [Doctoral dissertation]. McMaster University; 2016. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/11375/20028.

Council of Science Editors:

Taghavi E. Bias Estimation and Sensor Registration for Target Tracking. [Doctoral Dissertation]. McMaster University; 2016. Available from: http://hdl.handle.net/11375/20028


McMaster University

2. Alizadeh, Sara. A Novel Filtering Approach in Visual Odometry for Autonomous Ground Vehicles Application.

Degree: MASc, 2017, McMaster University

A monocular Visual Odometry system has been developed and tested on different datasets and the outputs have been compared with the available ground truth information… (more)

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APA (6th Edition):

Alizadeh, S. (2017). A Novel Filtering Approach in Visual Odometry for Autonomous Ground Vehicles Application. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/23085

Chicago Manual of Style (16th Edition):

Alizadeh, Sara. “A Novel Filtering Approach in Visual Odometry for Autonomous Ground Vehicles Application.” 2017. Masters Thesis, McMaster University. Accessed July 16, 2019. http://hdl.handle.net/11375/23085.

MLA Handbook (7th Edition):

Alizadeh, Sara. “A Novel Filtering Approach in Visual Odometry for Autonomous Ground Vehicles Application.” 2017. Web. 16 Jul 2019.

Vancouver:

Alizadeh S. A Novel Filtering Approach in Visual Odometry for Autonomous Ground Vehicles Application. [Internet] [Masters thesis]. McMaster University; 2017. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/11375/23085.

Council of Science Editors:

Alizadeh S. A Novel Filtering Approach in Visual Odometry for Autonomous Ground Vehicles Application. [Masters Thesis]. McMaster University; 2017. Available from: http://hdl.handle.net/11375/23085


McMaster University

3. Baser, Erkan. Multi-target Multi-Bernoulli Tracking and Joint Multi-target Estimator.

Degree: PhD, 2017, McMaster University

This dissertation concerns with the formulation of an improved multi-target multi-Bernoulli (MeMBer) filter and the use of the joint multi-target (JoM) estimator in an effective… (more)

Subjects/Keywords: Multi-target tracking; random finite set; multi-target multi-Bernoulli filter; joint multi-target estimator.

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APA (6th Edition):

Baser, E. (2017). Multi-target Multi-Bernoulli Tracking and Joint Multi-target Estimator. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/20947

Chicago Manual of Style (16th Edition):

Baser, Erkan. “Multi-target Multi-Bernoulli Tracking and Joint Multi-target Estimator.” 2017. Doctoral Dissertation, McMaster University. Accessed July 16, 2019. http://hdl.handle.net/11375/20947.

MLA Handbook (7th Edition):

Baser, Erkan. “Multi-target Multi-Bernoulli Tracking and Joint Multi-target Estimator.” 2017. Web. 16 Jul 2019.

Vancouver:

Baser E. Multi-target Multi-Bernoulli Tracking and Joint Multi-target Estimator. [Internet] [Doctoral dissertation]. McMaster University; 2017. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/11375/20947.

Council of Science Editors:

Baser E. Multi-target Multi-Bernoulli Tracking and Joint Multi-target Estimator. [Doctoral Dissertation]. McMaster University; 2017. Available from: http://hdl.handle.net/11375/20947


McMaster University

4. Wilson, Paul. Accurate Prediction of Maritime Trajectories From Historical AIS Data Using Grid-Based Methods.

Degree: MASc, 2017, McMaster University

In order to aid prediction of future maritime vessel trajectories, it is useful to examine historical vessel information. It is mandatory for large maritime vessels… (more)

Subjects/Keywords: AIS

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APA (6th Edition):

Wilson, P. (2017). Accurate Prediction of Maritime Trajectories From Historical AIS Data Using Grid-Based Methods. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/21237

Chicago Manual of Style (16th Edition):

Wilson, Paul. “Accurate Prediction of Maritime Trajectories From Historical AIS Data Using Grid-Based Methods.” 2017. Masters Thesis, McMaster University. Accessed July 16, 2019. http://hdl.handle.net/11375/21237.

MLA Handbook (7th Edition):

Wilson, Paul. “Accurate Prediction of Maritime Trajectories From Historical AIS Data Using Grid-Based Methods.” 2017. Web. 16 Jul 2019.

Vancouver:

Wilson P. Accurate Prediction of Maritime Trajectories From Historical AIS Data Using Grid-Based Methods. [Internet] [Masters thesis]. McMaster University; 2017. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/11375/21237.

Council of Science Editors:

Wilson P. Accurate Prediction of Maritime Trajectories From Historical AIS Data Using Grid-Based Methods. [Masters Thesis]. McMaster University; 2017. Available from: http://hdl.handle.net/11375/21237


McMaster University

5. Krishnan, Krishanth. Tracking Pedestrians with Known/Unknown Interactions and Influences.

Degree: PhD, 2017, McMaster University

This thesis addresses the problem of tracking multiple ground targets whose motion is dependent on one another. Multiple approaches which integrate the social force based… (more)

Subjects/Keywords: pedestrian tracking; multiple model social forces filter; social force Kalman filter; parameter estimation with tracking; dependent motion tracking; social force PhD filter

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APA (6th Edition):

Krishnan, K. (2017). Tracking Pedestrians with Known/Unknown Interactions and Influences. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/22126

Chicago Manual of Style (16th Edition):

Krishnan, Krishanth. “Tracking Pedestrians with Known/Unknown Interactions and Influences.” 2017. Doctoral Dissertation, McMaster University. Accessed July 16, 2019. http://hdl.handle.net/11375/22126.

MLA Handbook (7th Edition):

Krishnan, Krishanth. “Tracking Pedestrians with Known/Unknown Interactions and Influences.” 2017. Web. 16 Jul 2019.

Vancouver:

Krishnan K. Tracking Pedestrians with Known/Unknown Interactions and Influences. [Internet] [Doctoral dissertation]. McMaster University; 2017. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/11375/22126.

Council of Science Editors:

Krishnan K. Tracking Pedestrians with Known/Unknown Interactions and Influences. [Doctoral Dissertation]. McMaster University; 2017. Available from: http://hdl.handle.net/11375/22126


McMaster University

6. WEI, KEQI. MULTIPLE TRAFFIC LIGHT RECOGNITION SYSTEM BASED ON A MONOCULAR CAMERA.

Degree: MASc, 2017, McMaster University

This thesis proposes a novel multiple traffic light recognition system based on videos captured by a monocular camera. Advanced driver assistance system (ADAS) and autonomous… (more)

Subjects/Keywords: multiple traffic light recognition

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APA (6th Edition):

WEI, K. (2017). MULTIPLE TRAFFIC LIGHT RECOGNITION SYSTEM BASED ON A MONOCULAR CAMERA. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/23081

Chicago Manual of Style (16th Edition):

WEI, KEQI. “MULTIPLE TRAFFIC LIGHT RECOGNITION SYSTEM BASED ON A MONOCULAR CAMERA.” 2017. Masters Thesis, McMaster University. Accessed July 16, 2019. http://hdl.handle.net/11375/23081.

MLA Handbook (7th Edition):

WEI, KEQI. “MULTIPLE TRAFFIC LIGHT RECOGNITION SYSTEM BASED ON A MONOCULAR CAMERA.” 2017. Web. 16 Jul 2019.

Vancouver:

WEI K. MULTIPLE TRAFFIC LIGHT RECOGNITION SYSTEM BASED ON A MONOCULAR CAMERA. [Internet] [Masters thesis]. McMaster University; 2017. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/11375/23081.

Council of Science Editors:

WEI K. MULTIPLE TRAFFIC LIGHT RECOGNITION SYSTEM BASED ON A MONOCULAR CAMERA. [Masters Thesis]. McMaster University; 2017. Available from: http://hdl.handle.net/11375/23081


McMaster University

7. Yu, Yuanhao. Pattern Extraction by Modeling Image Spatial Relationship.

Degree: PhD, 2017, McMaster University

In this thesis, a universal framework that is able to extract image spatial relationship among multiple appearance components is proposed, which can be employed to… (more)

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APA (6th Edition):

Yu, Y. (2017). Pattern Extraction by Modeling Image Spatial Relationship. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/21991

Chicago Manual of Style (16th Edition):

Yu, Yuanhao. “Pattern Extraction by Modeling Image Spatial Relationship.” 2017. Doctoral Dissertation, McMaster University. Accessed July 16, 2019. http://hdl.handle.net/11375/21991.

MLA Handbook (7th Edition):

Yu, Yuanhao. “Pattern Extraction by Modeling Image Spatial Relationship.” 2017. Web. 16 Jul 2019.

Vancouver:

Yu Y. Pattern Extraction by Modeling Image Spatial Relationship. [Internet] [Doctoral dissertation]. McMaster University; 2017. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/11375/21991.

Council of Science Editors:

Yu Y. Pattern Extraction by Modeling Image Spatial Relationship. [Doctoral Dissertation]. McMaster University; 2017. Available from: http://hdl.handle.net/11375/21991


McMaster University

8. Wu, Qingsong. Algorithms for Multiple Ground Target Tracking.

Degree: PhD, 2018, McMaster University

 In this thesis, multiple ground target tracking algorithms are studied. From different aspects of the ground target tracking, three different types of tracking algorithms are… (more)

Subjects/Keywords: ground target tracking; visual tracking

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APA (6th Edition):

Wu, Q. (2018). Algorithms for Multiple Ground Target Tracking. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/22741

Chicago Manual of Style (16th Edition):

Wu, Qingsong. “Algorithms for Multiple Ground Target Tracking.” 2018. Doctoral Dissertation, McMaster University. Accessed July 16, 2019. http://hdl.handle.net/11375/22741.

MLA Handbook (7th Edition):

Wu, Qingsong. “Algorithms for Multiple Ground Target Tracking.” 2018. Web. 16 Jul 2019.

Vancouver:

Wu Q. Algorithms for Multiple Ground Target Tracking. [Internet] [Doctoral dissertation]. McMaster University; 2018. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/11375/22741.

Council of Science Editors:

Wu Q. Algorithms for Multiple Ground Target Tracking. [Doctoral Dissertation]. McMaster University; 2018. Available from: http://hdl.handle.net/11375/22741


McMaster University

9. Kan, Pengfei. Bad Weather Effect Removal in Images and Videos.

Degree: MASc, 2018, McMaster University

Commonly experienced bad weather conditions like fog, snow and rain generate pixel intensity changes in images and videos taken in outdoor environment and impair the… (more)

Subjects/Keywords: Weather Removal; Image Processing

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APA (6th Edition):

Kan, P. (2018). Bad Weather Effect Removal in Images and Videos. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/23314

Chicago Manual of Style (16th Edition):

Kan, Pengfei. “Bad Weather Effect Removal in Images and Videos.” 2018. Masters Thesis, McMaster University. Accessed July 16, 2019. http://hdl.handle.net/11375/23314.

MLA Handbook (7th Edition):

Kan, Pengfei. “Bad Weather Effect Removal in Images and Videos.” 2018. Web. 16 Jul 2019.

Vancouver:

Kan P. Bad Weather Effect Removal in Images and Videos. [Internet] [Masters thesis]. McMaster University; 2018. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/11375/23314.

Council of Science Editors:

Kan P. Bad Weather Effect Removal in Images and Videos. [Masters Thesis]. McMaster University; 2018. Available from: http://hdl.handle.net/11375/23314


McMaster University

10. Xiaofan, He. Automatic Class Identification and Motion Classification for Improved Multitarget Tracking.

Degree: MASc, 2010, McMaster University

Target classification has received significant attention in tracking literature. Algorithms for joint tracking and classification that are capable of improving tracking performance by exploiting… (more)

Subjects/Keywords: Electrical and Computer Engineering; Electrical and Computer Engineering

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APA (6th Edition):

Xiaofan, H. (2010). Automatic Class Identification and Motion Classification for Improved Multitarget Tracking. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/9305

Chicago Manual of Style (16th Edition):

Xiaofan, He. “Automatic Class Identification and Motion Classification for Improved Multitarget Tracking.” 2010. Masters Thesis, McMaster University. Accessed July 16, 2019. http://hdl.handle.net/11375/9305.

MLA Handbook (7th Edition):

Xiaofan, He. “Automatic Class Identification and Motion Classification for Improved Multitarget Tracking.” 2010. Web. 16 Jul 2019.

Vancouver:

Xiaofan H. Automatic Class Identification and Motion Classification for Improved Multitarget Tracking. [Internet] [Masters thesis]. McMaster University; 2010. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/11375/9305.

Council of Science Editors:

Xiaofan H. Automatic Class Identification and Motion Classification for Improved Multitarget Tracking. [Masters Thesis]. McMaster University; 2010. Available from: http://hdl.handle.net/11375/9305


McMaster University

11. Thirumalaisamy, Abirami. Fusion of Soft and Hard Data for Event Prediction and State Estimation.

Degree: MASc, 2015, McMaster University

Social networking sites such as Twitter, Facebook and Flickr play an important role in disseminating breaking news about natural disasters, terrorist attacks and other events.… (more)

Subjects/Keywords: Dempster-Shafer belief theory; Random finite set theory; Modified Dempster's rule of combination; soft and hard data fusion; airborne surveillance of surface targets; event prediction; social data analysis

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APA (6th Edition):

Thirumalaisamy, A. (2015). Fusion of Soft and Hard Data for Event Prediction and State Estimation. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/18382

Chicago Manual of Style (16th Edition):

Thirumalaisamy, Abirami. “Fusion of Soft and Hard Data for Event Prediction and State Estimation.” 2015. Masters Thesis, McMaster University. Accessed July 16, 2019. http://hdl.handle.net/11375/18382.

MLA Handbook (7th Edition):

Thirumalaisamy, Abirami. “Fusion of Soft and Hard Data for Event Prediction and State Estimation.” 2015. Web. 16 Jul 2019.

Vancouver:

Thirumalaisamy A. Fusion of Soft and Hard Data for Event Prediction and State Estimation. [Internet] [Masters thesis]. McMaster University; 2015. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/11375/18382.

Council of Science Editors:

Thirumalaisamy A. Fusion of Soft and Hard Data for Event Prediction and State Estimation. [Masters Thesis]. McMaster University; 2015. Available from: http://hdl.handle.net/11375/18382


McMaster University

12. Franklyn, Dsouza. Modeling and implementing distributed computing with applications in Multisensor-Multitarget Tracking.

Degree: MASc, 2015, McMaster University

Big data is a term used to describe quantities of data that are too large to process using traditional means of data processing. The rise… (more)

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APA (6th Edition):

Franklyn, D. (2015). Modeling and implementing distributed computing with applications in Multisensor-Multitarget Tracking. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/18403

Chicago Manual of Style (16th Edition):

Franklyn, Dsouza. “Modeling and implementing distributed computing with applications in Multisensor-Multitarget Tracking.” 2015. Masters Thesis, McMaster University. Accessed July 16, 2019. http://hdl.handle.net/11375/18403.

MLA Handbook (7th Edition):

Franklyn, Dsouza. “Modeling and implementing distributed computing with applications in Multisensor-Multitarget Tracking.” 2015. Web. 16 Jul 2019.

Vancouver:

Franklyn D. Modeling and implementing distributed computing with applications in Multisensor-Multitarget Tracking. [Internet] [Masters thesis]. McMaster University; 2015. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/11375/18403.

Council of Science Editors:

Franklyn D. Modeling and implementing distributed computing with applications in Multisensor-Multitarget Tracking. [Masters Thesis]. McMaster University; 2015. Available from: http://hdl.handle.net/11375/18403


McMaster University

13. Rostami, Saeid. Modeling and Generation of Soft Data in Kinematic Scenarios for Surveillance Applications.

Degree: MASc, 2018, McMaster University

Recently data generation has become an important research topic. Simulated data are not expensive and can be used immediately after being generated. Unlike simulated data,… (more)

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APA (6th Edition):

Rostami, S. (2018). Modeling and Generation of Soft Data in Kinematic Scenarios for Surveillance Applications. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/24105

Chicago Manual of Style (16th Edition):

Rostami, Saeid. “Modeling and Generation of Soft Data in Kinematic Scenarios for Surveillance Applications.” 2018. Masters Thesis, McMaster University. Accessed July 16, 2019. http://hdl.handle.net/11375/24105.

MLA Handbook (7th Edition):

Rostami, Saeid. “Modeling and Generation of Soft Data in Kinematic Scenarios for Surveillance Applications.” 2018. Web. 16 Jul 2019.

Vancouver:

Rostami S. Modeling and Generation of Soft Data in Kinematic Scenarios for Surveillance Applications. [Internet] [Masters thesis]. McMaster University; 2018. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/11375/24105.

Council of Science Editors:

Rostami S. Modeling and Generation of Soft Data in Kinematic Scenarios for Surveillance Applications. [Masters Thesis]. McMaster University; 2018. Available from: http://hdl.handle.net/11375/24105


McMaster University

14. HABTEMARIAM, BIRUK K. EFFECTIVE DATA ASSOCIATION ALGORITHMS FOR MULTITARGET TRACKING.

Degree: PhD, 2014, McMaster University

In multitarget tracking scenarios with high false alarm rate and low target detection probability, data association plays a key role in resolving measurement origin uncertainty.… (more)

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APA (6th Edition):

HABTEMARIAM, B. K. (2014). EFFECTIVE DATA ASSOCIATION ALGORITHMS FOR MULTITARGET TRACKING. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/16272

Chicago Manual of Style (16th Edition):

HABTEMARIAM, BIRUK K. “EFFECTIVE DATA ASSOCIATION ALGORITHMS FOR MULTITARGET TRACKING.” 2014. Doctoral Dissertation, McMaster University. Accessed July 16, 2019. http://hdl.handle.net/11375/16272.

MLA Handbook (7th Edition):

HABTEMARIAM, BIRUK K. “EFFECTIVE DATA ASSOCIATION ALGORITHMS FOR MULTITARGET TRACKING.” 2014. Web. 16 Jul 2019.

Vancouver:

HABTEMARIAM BK. EFFECTIVE DATA ASSOCIATION ALGORITHMS FOR MULTITARGET TRACKING. [Internet] [Doctoral dissertation]. McMaster University; 2014. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/11375/16272.

Council of Science Editors:

HABTEMARIAM BK. EFFECTIVE DATA ASSOCIATION ALGORITHMS FOR MULTITARGET TRACKING. [Doctoral Dissertation]. McMaster University; 2014. Available from: http://hdl.handle.net/11375/16272


McMaster University

15. Wang, Yinghui. Path Planning and Sensor Management for Multisensor Airborne Surveillance.

Degree: PhD, 2018, McMaster University

As a result of recent technological advances in modernized sensor sets and sensor platforms, sensor management combined with sensor platform path planning are studied to… (more)

Subjects/Keywords: Radar tracking; Sensor management; Path planning; Optimization

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APA (6th Edition):

Wang, Y. (2018). Path Planning and Sensor Management for Multisensor Airborne Surveillance. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/23704

Chicago Manual of Style (16th Edition):

Wang, Yinghui. “Path Planning and Sensor Management for Multisensor Airborne Surveillance.” 2018. Doctoral Dissertation, McMaster University. Accessed July 16, 2019. http://hdl.handle.net/11375/23704.

MLA Handbook (7th Edition):

Wang, Yinghui. “Path Planning and Sensor Management for Multisensor Airborne Surveillance.” 2018. Web. 16 Jul 2019.

Vancouver:

Wang Y. Path Planning and Sensor Management for Multisensor Airborne Surveillance. [Internet] [Doctoral dissertation]. McMaster University; 2018. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/11375/23704.

Council of Science Editors:

Wang Y. Path Planning and Sensor Management for Multisensor Airborne Surveillance. [Doctoral Dissertation]. McMaster University; 2018. Available from: http://hdl.handle.net/11375/23704


McMaster University

16. Gorji, Daronkolaei Aliakbar. LOCALIZATION, TRACKING, AND ANTENNA ALLOCATION IN MULTIPLE-INPUT MULTIPLE-OUTPUT RADARS.

Degree: PhD, 2012, McMaster University

This thesis concerns with the localization, tracking, and sensor management in the Multiple-Input Multiple-Output (MIMO) radar systems. The collocated and widely-separated MIMO radars are… (more)

Subjects/Keywords: MIMO radars; target tracking; sensor management; Signal Processing; Systems and Communications; Signal Processing

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APA (6th Edition):

Gorji, D. A. (2012). LOCALIZATION, TRACKING, AND ANTENNA ALLOCATION IN MULTIPLE-INPUT MULTIPLE-OUTPUT RADARS. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/12433

Chicago Manual of Style (16th Edition):

Gorji, Daronkolaei Aliakbar. “LOCALIZATION, TRACKING, AND ANTENNA ALLOCATION IN MULTIPLE-INPUT MULTIPLE-OUTPUT RADARS.” 2012. Doctoral Dissertation, McMaster University. Accessed July 16, 2019. http://hdl.handle.net/11375/12433.

MLA Handbook (7th Edition):

Gorji, Daronkolaei Aliakbar. “LOCALIZATION, TRACKING, AND ANTENNA ALLOCATION IN MULTIPLE-INPUT MULTIPLE-OUTPUT RADARS.” 2012. Web. 16 Jul 2019.

Vancouver:

Gorji DA. LOCALIZATION, TRACKING, AND ANTENNA ALLOCATION IN MULTIPLE-INPUT MULTIPLE-OUTPUT RADARS. [Internet] [Doctoral dissertation]. McMaster University; 2012. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/11375/12433.

Council of Science Editors:

Gorji DA. LOCALIZATION, TRACKING, AND ANTENNA ALLOCATION IN MULTIPLE-INPUT MULTIPLE-OUTPUT RADARS. [Doctoral Dissertation]. McMaster University; 2012. Available from: http://hdl.handle.net/11375/12433

17. Iftikhar, Nimra. Automated Optimization of Multisensor - Multitarget Trackers.

Degree: MASc, 2015, McMaster University

Almost every module or project needs to be optimized to get the best results and reduce costs. Multi-sensor, multi-input trackers require a huge number of… (more)

Subjects/Keywords: OPTIMIZATION

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APA (6th Edition):

Iftikhar, N. (2015). Automated Optimization of Multisensor - Multitarget Trackers. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/18364

Chicago Manual of Style (16th Edition):

Iftikhar, Nimra. “Automated Optimization of Multisensor - Multitarget Trackers.” 2015. Masters Thesis, McMaster University. Accessed July 16, 2019. http://hdl.handle.net/11375/18364.

MLA Handbook (7th Edition):

Iftikhar, Nimra. “Automated Optimization of Multisensor - Multitarget Trackers.” 2015. Web. 16 Jul 2019.

Vancouver:

Iftikhar N. Automated Optimization of Multisensor - Multitarget Trackers. [Internet] [Masters thesis]. McMaster University; 2015. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/11375/18364.

Council of Science Editors:

Iftikhar N. Automated Optimization of Multisensor - Multitarget Trackers. [Masters Thesis]. McMaster University; 2015. Available from: http://hdl.handle.net/11375/18364


McMaster University

18. Malek, Md. Obaidul. STAP WITH ADAPTIVE STATE ESTIMATION IN NON-STATIONARY HETEROGENEOUS SYSTElVIS.

Degree: MASc, 2009, McMaster University

In radar signal processing, the vulnerability of the desired signal to homogeneous and heterogeneous interferences increases as the communication traffic increases. The principal challenge… (more)

Subjects/Keywords: Electrical and Computer Engineering; Electrical and Computer Engineering

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APA (6th Edition):

Malek, M. O. (2009). STAP WITH ADAPTIVE STATE ESTIMATION IN NON-STATIONARY HETEROGENEOUS SYSTElVIS. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/8925

Chicago Manual of Style (16th Edition):

Malek, Md Obaidul. “STAP WITH ADAPTIVE STATE ESTIMATION IN NON-STATIONARY HETEROGENEOUS SYSTElVIS.” 2009. Masters Thesis, McMaster University. Accessed July 16, 2019. http://hdl.handle.net/11375/8925.

MLA Handbook (7th Edition):

Malek, Md Obaidul. “STAP WITH ADAPTIVE STATE ESTIMATION IN NON-STATIONARY HETEROGENEOUS SYSTElVIS.” 2009. Web. 16 Jul 2019.

Vancouver:

Malek MO. STAP WITH ADAPTIVE STATE ESTIMATION IN NON-STATIONARY HETEROGENEOUS SYSTElVIS. [Internet] [Masters thesis]. McMaster University; 2009. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/11375/8925.

Council of Science Editors:

Malek MO. STAP WITH ADAPTIVE STATE ESTIMATION IN NON-STATIONARY HETEROGENEOUS SYSTElVIS. [Masters Thesis]. McMaster University; 2009. Available from: http://hdl.handle.net/11375/8925


McMaster University

19. Ng, William. Advances in Wideband Array Signal Processing Using Numerical Bayesian Methods.

Degree: PhD, 2003, McMaster University

  This thesis focuses on joint model order detection and estimation of the parameters of interest, with applications to narrowband and wideband array signal processing… (more)

Subjects/Keywords: Electrical and Computer Engineering; Electrical and Computer Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ng, W. (2003). Advances in Wideband Array Signal Processing Using Numerical Bayesian Methods. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/5921

Chicago Manual of Style (16th Edition):

Ng, William. “Advances in Wideband Array Signal Processing Using Numerical Bayesian Methods.” 2003. Doctoral Dissertation, McMaster University. Accessed July 16, 2019. http://hdl.handle.net/11375/5921.

MLA Handbook (7th Edition):

Ng, William. “Advances in Wideband Array Signal Processing Using Numerical Bayesian Methods.” 2003. Web. 16 Jul 2019.

Vancouver:

Ng W. Advances in Wideband Array Signal Processing Using Numerical Bayesian Methods. [Internet] [Doctoral dissertation]. McMaster University; 2003. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/11375/5921.

Council of Science Editors:

Ng W. Advances in Wideband Array Signal Processing Using Numerical Bayesian Methods. [Doctoral Dissertation]. McMaster University; 2003. Available from: http://hdl.handle.net/11375/5921

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