Digital Signal Processing: A Practical Guide for Engineers and ScientistsIn addition to its thorough coverage of DSP design and programming techniques, Smith also covers the operation and usage of DSP chips. He uses Analog Devices' popular DSP chip family as design examples. Also included on the companion website is technical info on DSP processors from the four major manufacturers (Analog Devices, Texas Instruments, Motorola, and Lucent) and other DSP software. *Covers all major DSP topics *Full of insider information and shortcuts *Basic techniques and algorithms explained without complex numbers 
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LibraryThing Review
User Review  yfngoh  LibraryThingBest book on the topic; teaches you what DSP means. I wish I had this book instead of my professor (who just assign homework instead of teaching what DSP is) when I took DSP course in college. Read full review
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A conceptual and practical overview.
Contents
FOUNDATIONS Chapter 1 The Breadth and Depth of DSP  1 
Statistics Probability and Noise  11 
ADC and DAC  35 
DSP Software  67 
FUNDAMENTALS Chapter 5 Linear Systems  87 
Convolution  107 
Properties of Convolution  123 
The Discrete Fourier Transform  141 
Recursive Filters  319 
Chebyshev Filters  333 
Filter Comparison  343 
APPLICATIONS  344 
Audio Processing  351 
Image Formation and Display  373 
Linear Image Processing  397 
Special Imaging Techniques  423 
Applications of the DFT  169 
Applications of the DFT  171 
Fourier Transform Properties  185 
Fourier Transform Pairs  209 
The Fast Fourier Transform  225 
Continuous Signal Processing  243 
DIGITAL FILTERS Chapter 14 Introduction to Digital Filters  261 
Moving Average Filters  277 
WindowedSine Filters  285 
Custom Filters  297 
FFT Convolution  311 
Common terms and phrases
0.3 Frequency algorithm aliasing amplitude analog signal array audio bits calculated called capacitor Chapter Chebyshev filters circuit common complex numbers compression continuous signals converted convolved corresponding cosine waves curve cutoff frequency decomposition delta function digital filters digital signal discrete signals electronics encoded equation error example FFT convolution Figure filter kernel floating point Fourier transform frequency domain frequency response frequency spectrum Gaussian hertz highpass filter histogram i i i i i i imaginary impulse response ImX[k input signal integral linear system loop lowpass filter magnitude mathematical moving average filter multiplied negative frequencies nonlinear notation output signal parameters passband phase pixel pole problem random numbers recursion coefficients recursive filter represented ReX[k Sample number sampling rate segment shift shown in Fig shows sine wave single sinusoids spectra standard deviation step response stopband subroutine symmetry Table techniques variable voltage waveform zero