Understanding Digital Signal Processing (Google eBook)Amazon.com’s TopSelling DSP Book for Seven Straight Years—Now Fully Updated! Understanding Digital Signal Processing, Third Edition, is quite simply the best resource for engineers and other technical professionals who want to master and apply today’s latest DSP techniques. Richard G. Lyons has updated and expanded his bestselling second edition to reflect the newest technologies, building on the exceptionally readable coverage that made it the favorite of DSP professionals worldwide. He has also added handson problems to every chapter, giving students even more of the practical experience they need to succeed. Comprehensive in scope and clear in approach, this book achieves the perfect balance between theory and practice, keeps math at a tolerable level, and makes DSP exceptionally accessible to beginners without ever oversimplifying it. Readers can thoroughly grasp the basics and quickly move on to more sophisticated techniques. This edition adds extensive new coverage of FIR and IIR filter analysis techniques, digital differentiators, integrators, and matched filters. Lyons has significantly updated and expanded his discussions of multirate processing techniques, which are crucial to modern wireless and satellite communications. He also presents nearly twice as many DSP Tricks as in the second edition—including techniques even seasoned DSP professionals may have overlooked. Coverage includes

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My professor suggested me this book, is a gothrough for things ;)
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Contents
Chapter Two Periodic Sampling  
Chapter Three The Discrete Fourier Transform  
Chapter Four The Fast Fourier Transform  
Chapter Five Finite Impulse Response Filters  
Chapter Six Infinite Impulse Response Filters  
1341 Avoiding Overflow in Magnitude Computations  
1343 Alternate Complex Downconversion Schemes  
1344 Signal Transition Detection  
1345 Spectral Flipping around Signal Center Frequency  
1346 Computing Missing Signal Samples  
1347 Computing Large DFTs Using Small FFTs  
1348 Computing Filter Group Delay without Arctangents  
1349 Computing a Forward and Inverse FFT Using a Single FFT  
Chapter Seven Specialized Digital Networks and Filters  
Chapter Eight Quadrature Signals  
Chapter Nine The Discrete Hilbert Transform  
Chapter Ten Sample Rate Conversion  
Chapter Eleven Signal Averaging  
Chapter Twelve Digital Data Formats and Their Effects  
Chapter Thirteen Digital Signal Processing Tricks  
1334 Filtering Narrowband Noise Using Filter Nulls  
1335 Efficient Computation of Signal Variance  
1336 Realtime Computation of Signal Averages and Variances  
1337 Building Hilbert Transformers from Halfband Filters  
1338 Complex Vector Rotation with Arctangents  
1339 An Efficient Differentiating Network  
1340 LinearPhase DCRemoval Filter  
1350 Improved Narrowband Lowpass IIR Filters  
1351 A Stable Goertzel Algorithm  
References  
Appendix A The Arithmetic of Complex Numbers  
Appendix B Closed Form of a Geometric Series  
Appendix C Time Reversal and the DFT  
Appendix D Mean Variance and Standard Deviation  
Appendix E Decibels dB and dBm  
Appendix F Digital Filter Terminology  
Appendix G Frequency Sampling Filter Derivations  
Appendix H Frequency Sampling Filter Design Tables  
Appendix I Computing Chebyshev Window Sequences  