Understanding Digital Signal Processing

Understanding Digital Signal Processing is simply the best practitioner's resource for mastering DSP technology.

Richard Lyons has thoroughly updated and expanded his best-selling second edition, building on the exceptionally readable coverage that has made it a favorite of both professionals and students worldwide. Lyons achieves the perfect balance between practice and math, making DSP accessible to beginners without ever oversimplifying it, and offering systematic practical guidance for day-to-day problem-solving. Down-to-earth, intuitive, and example-rich, this book helps readers thoroughly grasp the basics and quickly move on to more sophisticated DSP techniques.

Coverage includes: discrete sequences/systems, DFT, FFT, finite/infinite impulse response filters, quadrature (I/Q) processing, discrete Hilbert transforms, sample rate conversion, signal averaging, and much more. This edition adds extensive new coverage of FIR and IIR filter analysis techniques. The previous multirate processing, and binary number format, material has been significantly updated and expanded. It also provides new coverage of digital differentiators, integrators, and matched filters. Lyons has also doubled the number of DSP tips and tricks as in the previous edition including techniques even seasoned DSP professionals may have overlooked. He has also added end-of-chapter homework problems throughout to support college instruction and professional self-study.

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• Chapter 1: Discrete Sequences and Systems
• Chapter 2: Periodic Sampling
• Chapter 3: The Discrete Fourier Transform
• Chapter 4: The Fast Fourier Transform  
• Chapter 5: Finite Impulse Response Filters  
• Chapter 6: Infinite Impulse Response Filters   
• Chapter 7: Specialized Digital Networks and Filters  
• Chapter 8: Quadrature Signals  
• Chapter 9: The Discrete Hilbert Transform  
• Chapter 10: Sample Rate Conversion   
• Chapter 11: Signal Averaging  
• Chapter 12: Digital Data Formats and their Effects 
• Chapter 13: Digital Signal Processing Tricks