Digital Signal Processing - Tapa dura

With a strong focus on basic principles and applications, this thoroughly up-to-date text provides a solid foundation in the concepts, methods, and algorithms of digital signal processing. Key topics such as spectral analysis, discrete-time systems, the sampling process, and digital filter design are all covered in well-illustrated detail.

Filled with examples and problems that can be worked in MATLAB or the author's DSP software, D-Filter, Digital Signal Processing offers a fully interactive approach to successfully mastering DSP.

Accessible and comprehensive, this resource covers the essentials of DSP theory and practice including:

• The Fourier and z transforms and their application in the spectral analysis of signals
• Discrete Fourier transform (DFT), fast Fourier transform (FFT) algorithms, and window techniques
• Finite impulse response (FIR) and infinite impulse response (IIR) digital filter design using both closed-form and iterative optimization methods
• Detailed study of digital filter imperfections

MASTER DSP AND DIGITAL FILTER DESIGN
Introduction to Digital Signal Processing
Fourier Series and Fourier Transform
The z Transform
Discrete-Time Systems
Applications of the z Transform
The Sampling Process
Discrete Fourier Transform
Realization of Digital Filters
Design of Nonrecursive (FIR) Filters
Approximations for Analog Filters
Design of Recursive (IIR) Filters
Design of Recursive (IIR) Filters Satisfying Prescribed Specifications
Random Signals
Effects of Finite Word Length in Digital Filters
Design of Nonrecursive (FIR) Filters Using Optimization Methods
Design of Recursive (IIR) Filters Using Optimization Methods
Wave Digital Filters
DSP Applications