Description: Document 1: A Guide to MATLAB for Beginners and Experienced Users
Document 2: A Guide to MATLAB Object-Oriented Programming
Document 3: Adaptive Filtering Primer with MATLAB
Document 4: Advanced Mathematics and Mechanics Applications Using MATLAB
Document 5: Algorithm Collections for Digital Signal Processing Applications using Matlab Platform: |
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Author:viorel |
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Description: Adaptive Filtering Primer with MATLAB
Poularikas and Ramadan
2006
Code Examples and informations in Matlab for Adaptive Filtering Platform: |
Size: 2333696 |
Author:David |
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Description: This a very good book on Matlab for Adaptive Filtering. -This is a very good book on Matlab for Adaptive Filtering. Platform: |
Size: 2319360 |
Author:71402977082 |
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Description: this a very good text for matlab begginers. and this book gives information about ADAPTIVE FILTERING with using MATLAB.-this is a very good text for matlab begginers. and this book gives information about ADAPTIVE FILTERING with using MATLAB. Platform: |
Size: 2319360 |
Author:anand |
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Description: Adaptive Filtering Primer with MATLAB® clearly explains the fundamentals of adaptive filtering supported by numerous examples and computer simulations. The authors introduce discrete-time signal processing, random variables and stochastic processes, the Wiener filter, properties of the error surface, the steepest descent method, and the least mean square (LMS) algorithm. They also supply many MATLAB® functions and m-files along with computer experiments to illustrate how to apply the concepts to real-world problems. The book includes problems along with hints, suggestions, and solutions for solving them. An appendix on matrix computations completes the self-contained coverage.-Adaptive Filtering Primer with MATLAB® clearly explains the fundamentals of adaptive filtering supported by numerous examples and computer simulations. The authors introduce discrete-time signal processing, random variables and stochastic processes, the Wiener filter, properties of the error surface, the steepest descent method, and the least mean square (LMS) algorithm. They also supply many MATLAB® functions and m-files along with computer experiments to illustrate how to apply the concepts to real-world problems. The book includes problems along with hints, suggestions, and solutions for solving them. An appendix on matrix computations completes the self-contained coverage. Platform: |
Size: 2319360 |
Author:hungfu |
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Description: MATLAB toolbox control engineering technical manual. This book provide readers with the use of MATLAB practical guidance. Mainly with the introduction of the MATLAB control engineering related to six basic toolbox: System Identification Toolbox, Control System Toolbox, Robust Control Toolbox, Model Predictive Control Toolbox. Platform: |
Size: 2319360 |
Author:chethanraj |
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Description: Adaptive Filtering Primer with MATLABR clearly explains the fundamentals of adaptive filtering supported by practical examples. Platform: |
Size: 2319360 |
Author:Jessih |
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