DSP Principles, Algorithms & Applications by J.G. Proakis & D.G Manolakis .... DOWNLOAD
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Table of Contents:
1. Introduction.
2. Discrete-Time Signals and Systems.
3. The Z-Transform and Its Application to the Analysis of LTI Systems.
4. Frequency Analysis of Signals and Systems.
5. The Discrete Fourier Transform: Its Properties and Applications.
6. Efficient Computation of the DFT: Fast Fourier Transform Algorithms.
7. Implementation of Discrete-Time Systems.
8. Design of Digital Filters.
9. Sampling and Reconstruction of Signals.
10. Multirate Digital Signal Processing.
11. Linear Prediction and Optimum Linear Filters.
12. Power Spectrum Estimation.
Appendix A. Random Signals, Correlation Functions, and Power Spectra.
Appendix B. Random Numbers Generators.
Appendix C. Tables of Transition Coefficients for the Design of Linear-Phase FIR Filters.
Appendix D. List of MATLAB Functions.
References and Bibliography.
Index.
1. Introduction.
2. Discrete-Time Signals and Systems.
3. The Z-Transform and Its Application to the Analysis of LTI Systems.
4. Frequency Analysis of Signals and Systems.
5. The Discrete Fourier Transform: Its Properties and Applications.
6. Efficient Computation of the DFT: Fast Fourier Transform Algorithms.
7. Implementation of Discrete-Time Systems.
8. Design of Digital Filters.
9. Sampling and Reconstruction of Signals.
10. Multirate Digital Signal Processing.
11. Linear Prediction and Optimum Linear Filters.
12. Power Spectrum Estimation.
Appendix A. Random Signals, Correlation Functions, and Power Spectra.
Appendix B. Random Numbers Generators.
Appendix C. Tables of Transition Coefficients for the Design of Linear-Phase FIR Filters.
Appendix D. List of MATLAB Functions.
References and Bibliography.
Index. - See more at: http://www.pearsonhighered.com/educator/product/Digital-Signal-Processing-Principles-Algorithms-and-Applications/9780133737622.page#sthash.PgI51VyJ.dpuf
1. Introduction.
2. Discrete-Time Signals and Systems.
3. The Z-Transform and Its Application to the Analysis of LTI Systems.
4. Frequency Analysis of Signals and Systems.
5. The Discrete Fourier Transform: Its Properties and Applications.
6. Efficient Computation of the DFT: Fast Fourier Transform Algorithms.
7. Implementation of Discrete-Time Systems.
8. Design of Digital Filters.
9. Sampling and Reconstruction of Signals.
10. Multirate Digital Signal Processing.
11. Linear Prediction and Optimum Linear Filters.
12. Power Spectrum Estimation.
Appendix A. Random Signals, Correlation Functions, and Power Spectra.
Appendix B. Random Numbers Generators.
Appendix C. Tables of Transition Coefficients for the Design of Linear-Phase FIR Filters.
Appendix D. List of MATLAB Functions.
References and Bibliography.
Index. - See more at: http://www.pearsonhighered.com/educator/product/Digital-Signal-Processing-Principles-Algorithms-and-Applications/9780133737622.page#sthash.PgI51VyJ.dpuf
1. Introduction.
2. Discrete-Time Signals and Systems.
3. The Z-Transform and Its Application to the Analysis of LTI Systems.
4. Frequency Analysis of Signals and Systems.
5. The Discrete Fourier Transform: Its Properties and Applications.
6. Efficient Computation of the DFT: Fast Fourier Transform Algorithms.
7. Implementation of Discrete-Time Systems.
8. Design of Digital Filters.
9. Sampling and Reconstruction of Signals.
10. Multirate Digital Signal Processing.
11. Linear Prediction and Optimum Linear Filters.
12. Power Spectrum Estimation.
Appendix A. Random Signals, Correlation Functions, and Power Spectra.
Appendix B. Random Numbers Generators.
Appendix C. Tables of Transition Coefficients for the Design of Linear-Phase FIR Filters.
Appendix D. List of MATLAB Functions.
References and Bibliography.
Index. - See more at: http://www.pearsonhighered.com/educator/product/Digital-Signal-Processing-Principles-Algorithms-and-Applications/9780133737622.page#sthash.PgI51VyJ.dpuf
1. Introduction.
2. Discrete-Time Signals and Systems.
3. The Z-Transform and Its Application to the Analysis of LTI Systems.
4. Frequency Analysis of Signals and Systems.
5. The Discrete Fourier Transform: Its Properties and Applications.
6. Efficient Computation of the DFT: Fast Fourier Transform Algorithms.
7. Implementation of Discrete-Time Systems.
8. Design of Digital Filters.
9. Sampling and Reconstruction of Signals.
10. Multirate Digital Signal Processing.
11. Linear Prediction and Optimum Linear Filters.
12. Power Spectrum Estimation.
Appendix A. Random Signals, Correlation Functions, and Power Spectra.
Appendix B. Random Numbers Generators.
Appendix C. Tables of Transition Coefficients for the Design of Linear-Phase FIR Filters.
Appendix D. List of MATLAB Functions.
References and Bibliography.
Index. - See more at: http://www.pearsonhighered.com/educator/product/Digital-Signal-Processing-Principles-Algorithms-and-Applications/9780133737622.page#sthash.PgI51VyJ.dpuf
(ZIDDU DOWNLOAD)
Digital Signal Processing is an introductory textbook on the subject.
It covers the fundamentals of discrete time signals, systems, and modern
digital processing. It also covers applications of the same for
students of electrical engineering, computer engineering, and computer
science.
Specific topics covered in the book include The Z-Transform, Frequency
Analysis Of Signals And Systems, Frequency Domain Analysis Of Lti
Systems, Sampling And Reconstruction Of Signals, The Discrete Fourier
Transform, Design Of Digital Filers, Multirate Digital Signal
Processing, and Adaptive Filters.
This is the fourth edition of the book. The chapter on Adaptive Filters
has been added in this edition. Chapters on Multi-rate Digital Signal
Processing and Sampling And Reconstruction Of Signals have been
substantially revised. Nearly 500 homework problems are provided for
students to practice with.Newly written and updated chapter on sampling and reconstruction of signals.New addition on the discrete cosine transform.Updated chapter on multirate digital signal processing.
John G. Proakis is the Professor Emeritus at Northeastern University. He specializes in digital communications and digital signal processing.
He has authored several leading books on these subjects including
Digital Signal Processing Laboratory, Digital Processing of Speech
Signals, and Communication Systems Engineering.
Proakis received the MSEE degree from MIT and a PhD in Engineering from
Harvard University. He has previously worked with GTE Laboratories and
the MIT Lincoln Laboratory.
Dimitris G Manolakis is the co-author of many leading
books on digital signal processing that include Statistical &
Adaptive Signal Processing, Introduction to Digital Signal Processing,
and Applied Digital Signal Processing: Theory and Practice.
Table of Contents:
1. Introduction.
2. Discrete-Time Signals and Systems.
3. The Z-Transform and Its Application to the Analysis of LTI Systems.
4. Frequency Analysis of Signals and Systems.
5. The Discrete Fourier Transform: Its Properties and Applications.
6. Efficient Computation of the DFT: Fast Fourier Transform Algorithms.
7. Implementation of Discrete-Time Systems.
8. Design of Digital Filters.
9. Sampling and Reconstruction of Signals.
10. Multirate Digital Signal Processing.
11. Linear Prediction and Optimum Linear Filters.
12. Power Spectrum Estimation.
Appendix A. Random Signals, Correlation Functions, and Power Spectra.
Appendix B. Random Numbers Generators.
Appendix C. Tables of Transition Coefficients for the Design of Linear-Phase FIR Filters.
Appendix D. List of MATLAB Functions.
References and Bibliography.
Index.
1. Introduction.
2. Discrete-Time Signals and Systems.
3. The Z-Transform and Its Application to the Analysis of LTI Systems.
4. Frequency Analysis of Signals and Systems.
5. The Discrete Fourier Transform: Its Properties and Applications.
6. Efficient Computation of the DFT: Fast Fourier Transform Algorithms.
7. Implementation of Discrete-Time Systems.
8. Design of Digital Filters.
9. Sampling and Reconstruction of Signals.
10. Multirate Digital Signal Processing.
11. Linear Prediction and Optimum Linear Filters.
12. Power Spectrum Estimation.
Appendix A. Random Signals, Correlation Functions, and Power Spectra.
Appendix B. Random Numbers Generators.
Appendix C. Tables of Transition Coefficients for the Design of Linear-Phase FIR Filters.
Appendix D. List of MATLAB Functions.
References and Bibliography.
Index. - See more at: http://www.pearsonhighered.com/educator/product/Digital-Signal-Processing-Principles-Algorithms-and-Applications/9780133737622.page#sthash.PgI51VyJ.dpuf
1. Introduction.
2. Discrete-Time Signals and Systems.
3. The Z-Transform and Its Application to the Analysis of LTI Systems.
4. Frequency Analysis of Signals and Systems.
5. The Discrete Fourier Transform: Its Properties and Applications.
6. Efficient Computation of the DFT: Fast Fourier Transform Algorithms.
7. Implementation of Discrete-Time Systems.
8. Design of Digital Filters.
9. Sampling and Reconstruction of Signals.
10. Multirate Digital Signal Processing.
11. Linear Prediction and Optimum Linear Filters.
12. Power Spectrum Estimation.
Appendix A. Random Signals, Correlation Functions, and Power Spectra.
Appendix B. Random Numbers Generators.
Appendix C. Tables of Transition Coefficients for the Design of Linear-Phase FIR Filters.
Appendix D. List of MATLAB Functions.
References and Bibliography.
Index. - See more at: http://www.pearsonhighered.com/educator/product/Digital-Signal-Processing-Principles-Algorithms-and-Applications/9780133737622.page#sthash.PgI51VyJ.dpuf
1. Introduction.
2. Discrete-Time Signals and Systems.
3. The Z-Transform and Its Application to the Analysis of LTI Systems.
4. Frequency Analysis of Signals and Systems.
5. The Discrete Fourier Transform: Its Properties and Applications.
6. Efficient Computation of the DFT: Fast Fourier Transform Algorithms.
7. Implementation of Discrete-Time Systems.
8. Design of Digital Filters.
9. Sampling and Reconstruction of Signals.
10. Multirate Digital Signal Processing.
11. Linear Prediction and Optimum Linear Filters.
12. Power Spectrum Estimation.
Appendix A. Random Signals, Correlation Functions, and Power Spectra.
Appendix B. Random Numbers Generators.
Appendix C. Tables of Transition Coefficients for the Design of Linear-Phase FIR Filters.
Appendix D. List of MATLAB Functions.
References and Bibliography.
Index. - See more at: http://www.pearsonhighered.com/educator/product/Digital-Signal-Processing-Principles-Algorithms-and-Applications/9780133737622.page#sthash.PgI51VyJ.dpuf
1. Introduction.
2. Discrete-Time Signals and Systems.
3. The Z-Transform and Its Application to the Analysis of LTI Systems.
4. Frequency Analysis of Signals and Systems.
5. The Discrete Fourier Transform: Its Properties and Applications.
6. Efficient Computation of the DFT: Fast Fourier Transform Algorithms.
7. Implementation of Discrete-Time Systems.
8. Design of Digital Filters.
9. Sampling and Reconstruction of Signals.
10. Multirate Digital Signal Processing.
11. Linear Prediction and Optimum Linear Filters.
12. Power Spectrum Estimation.
Appendix A. Random Signals, Correlation Functions, and Power Spectra.
Appendix B. Random Numbers Generators.
Appendix C. Tables of Transition Coefficients for the Design of Linear-Phase FIR Filters.
Appendix D. List of MATLAB Functions.
References and Bibliography.
Index. - See more at: http://www.pearsonhighered.com/educator/product/Digital-Signal-Processing-Principles-Algorithms-and-Applications/9780133737622.page#sthash.PgI51VyJ.dpuf
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