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Brno University of Technology

1. Schlorová, Hana. Slepá dekonvoluce obrazů kalibračních vzorků z elektronového mikroskopu: Blind Image Deconvolution of Electron Microscopy Images.

Degree: 2019, Brno University of Technology

 Blind deconvolution has spread around multiple technical fields in recent years. Problems with computational demands are no more its limitations. Blind deconvolution signal processing techniques… (more)

Subjects/Keywords: Slepá dekonvoluce; restaurace obrazu; process degradace; zkreslení; elektronová mikroskopie; Bayesovský rámec; regularizace; deconvblind; Blind deconvolution; image restoration; degradation process; blur; electron microscopy; Bayesian framework; regularization; deconvblind

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

APA (6th Edition):

Schlorová, H. (2019). Slepá dekonvoluce obrazů kalibračních vzorků z elektronového mikroskopu: Blind Image Deconvolution of Electron Microscopy Images. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/65490

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Schlorová, Hana. “Slepá dekonvoluce obrazů kalibračních vzorků z elektronového mikroskopu: Blind Image Deconvolution of Electron Microscopy Images.” 2019. Thesis, Brno University of Technology. Accessed November 28, 2020. http://hdl.handle.net/11012/65490.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Schlorová, Hana. “Slepá dekonvoluce obrazů kalibračních vzorků z elektronového mikroskopu: Blind Image Deconvolution of Electron Microscopy Images.” 2019. Web. 28 Nov 2020.

Vancouver:

Schlorová H. Slepá dekonvoluce obrazů kalibračních vzorků z elektronového mikroskopu: Blind Image Deconvolution of Electron Microscopy Images. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Nov 28]. Available from: http://hdl.handle.net/11012/65490.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Schlorová H. Slepá dekonvoluce obrazů kalibračních vzorků z elektronového mikroskopu: Blind Image Deconvolution of Electron Microscopy Images. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/65490

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

2. Bradáč, Pavel. Multikanálová dekonvoluce obrazů: Multichannel Image Deconvolution.

Degree: 2019, Brno University of Technology

 This Master Thesis deals with image restoration using deconvolution. The terms introducing into deconvolution theory like two-dimensional signal, distortion model, noise and convolution are explained… (more)

Subjects/Keywords: dvourozměrný signál; model zkreslení; šum; konvoluce; zpracování obrazu; Bayesovký teorém; multikanálová slepá dekonvoluce; střídavý minimalizační algoritmus; knihovna NAG C; MEX-soubor; Matlab; optimalizace (simplexová metoda; metoda největšího spádu; kvazi-Newtonova metoda); regularizace (Tichonovská regularizace a total variation); two-dimensional signal; distortion model; noise; convolution; image processing; Bayesian theorem; Multichannel Blind Deconvolution; Alternating Minimization Algorithm; NAG C Library; MEX-file; Matlab; optimization (simplex method; steepest descent; quasi-Newton method); regularization (Tichonov regularization; Total Variation)

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

APA (6th Edition):

Bradáč, P. (2019). Multikanálová dekonvoluce obrazů: Multichannel Image Deconvolution. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/12353

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Bradáč, Pavel. “Multikanálová dekonvoluce obrazů: Multichannel Image Deconvolution.” 2019. Thesis, Brno University of Technology. Accessed November 28, 2020. http://hdl.handle.net/11012/12353.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Bradáč, Pavel. “Multikanálová dekonvoluce obrazů: Multichannel Image Deconvolution.” 2019. Web. 28 Nov 2020.

Vancouver:

Bradáč P. Multikanálová dekonvoluce obrazů: Multichannel Image Deconvolution. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Nov 28]. Available from: http://hdl.handle.net/11012/12353.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bradáč P. Multikanálová dekonvoluce obrazů: Multichannel Image Deconvolution. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/12353

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

3. Koudelka, Vlastimil. Pravděpodobnostní neuronové sítě pro speciální úlohy v elektromagnetismu: Probabilistic Neural Networks for Special Tasks in Electromagnetics.

Degree: 2018, Brno University of Technology

 The thesis deals with behavioural modelling techniques capable solving special tasks in electromagnetics which can be formulated as approximation, classification, probability estimation, and combinatorial optimization… (more)

Subjects/Keywords: behavioralní modelování; Boltzmanův stroj; kombinatorická optimalizace; zjednodušování impedanční sítě; Bayesovská regularizace; pravděpodobnostní neuronová síť; regresní neuronová síť; behavioural modelling; Boltzmann machine; combinatorial optimization; impedance network simplification; Bayesian regularization; probabilistic neural network; general regression neural network

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

APA (6th Edition):

Koudelka, V. (2018). Pravděpodobnostní neuronové sítě pro speciální úlohy v elektromagnetismu: Probabilistic Neural Networks for Special Tasks in Electromagnetics. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/28242

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Koudelka, Vlastimil. “Pravděpodobnostní neuronové sítě pro speciální úlohy v elektromagnetismu: Probabilistic Neural Networks for Special Tasks in Electromagnetics.” 2018. Thesis, Brno University of Technology. Accessed November 28, 2020. http://hdl.handle.net/11012/28242.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Koudelka, Vlastimil. “Pravděpodobnostní neuronové sítě pro speciální úlohy v elektromagnetismu: Probabilistic Neural Networks for Special Tasks in Electromagnetics.” 2018. Web. 28 Nov 2020.

Vancouver:

Koudelka V. Pravděpodobnostní neuronové sítě pro speciální úlohy v elektromagnetismu: Probabilistic Neural Networks for Special Tasks in Electromagnetics. [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2020 Nov 28]. Available from: http://hdl.handle.net/11012/28242.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Koudelka V. Pravděpodobnostní neuronové sítě pro speciální úlohy v elektromagnetismu: Probabilistic Neural Networks for Special Tasks in Electromagnetics. [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/28242

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

4. Kostka, Filip. Umělá neuronová síť pro modelování polí uvnitř automobilu: Artificial neural network for modeling electromagnetic fields in a car.

Degree: 2019, Brno University of Technology

 The project deals with artificial neural networks. After designing and debugging the test data set and the training sample set, we created a multilayer perceptron… (more)

Subjects/Keywords: Umělá neuronová síť; vícevrstvý perceptron; radiální bázová síť; Levenbergův-Marquardtův algoritmus; Bayesovská regularizace; gradientní sestup se spádem; FEKO Octavia II; učení sítě.; Artificial neural network; multilayer perceptron; radial basis network; Levenberg-Marquardt algorithms; Newton algorithm; learning process.

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

APA (6th Edition):

Kostka, F. (2019). Umělá neuronová síť pro modelování polí uvnitř automobilu: Artificial neural network for modeling electromagnetic fields in a car. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/31526

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kostka, Filip. “Umělá neuronová síť pro modelování polí uvnitř automobilu: Artificial neural network for modeling electromagnetic fields in a car.” 2019. Thesis, Brno University of Technology. Accessed November 28, 2020. http://hdl.handle.net/11012/31526.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kostka, Filip. “Umělá neuronová síť pro modelování polí uvnitř automobilu: Artificial neural network for modeling electromagnetic fields in a car.” 2019. Web. 28 Nov 2020.

Vancouver:

Kostka F. Umělá neuronová síť pro modelování polí uvnitř automobilu: Artificial neural network for modeling electromagnetic fields in a car. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Nov 28]. Available from: http://hdl.handle.net/11012/31526.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kostka F. Umělá neuronová síť pro modelování polí uvnitř automobilu: Artificial neural network for modeling electromagnetic fields in a car. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/31526

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

5. Kadlčík, Libor. Implementace rekonstrukčních metod pro čtení čárového kódu: Implementation of restoring method for reading bar code.

Degree: 2018, Brno University of Technology

 Bar code stores information in the form of series of bars and gaps with various widths, and therefore can be considered as an example of… (more)

Subjects/Keywords: PIC32; USB; PS/2; čárový kód; dekonvoluce; dvoujámová funkce; dvouúrovňový signál; hledání inflexního bodu; konvoluční zkreslení; metoda derivací; metoda nevydařené lineární aproximace; odhad PSF; rekonstrukce signálu; regularizace; stejnosměrný drift; totální variace; variační metody; PIC32; USB; PS/2; bar code; bilevel signal; convolutional distortion; DC drift; deconvolution; double-well function; detection of inflection point; method of derivatives; method of failed linear approximation; PSF estimation; regularization; signal reconstruction; total variation; variational methods

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

APA (6th Edition):

Kadlčík, L. (2018). Implementace rekonstrukčních metod pro čtení čárového kódu: Implementation of restoring method for reading bar code. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/25863

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kadlčík, Libor. “Implementace rekonstrukčních metod pro čtení čárového kódu: Implementation of restoring method for reading bar code.” 2018. Thesis, Brno University of Technology. Accessed November 28, 2020. http://hdl.handle.net/11012/25863.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kadlčík, Libor. “Implementace rekonstrukčních metod pro čtení čárového kódu: Implementation of restoring method for reading bar code.” 2018. Web. 28 Nov 2020.

Vancouver:

Kadlčík L. Implementace rekonstrukčních metod pro čtení čárového kódu: Implementation of restoring method for reading bar code. [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2020 Nov 28]. Available from: http://hdl.handle.net/11012/25863.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kadlčík L. Implementace rekonstrukčních metod pro čtení čárového kódu: Implementation of restoring method for reading bar code. [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/25863

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

.