Издательство Elsevier, 2003, -299 pp.
Digital signal processing (DSP) can be considered simply to be the capture, analysis and manipulation of an analog signal by a digital computer. The integration of DSP software and hardware into products across a wide range of industries has necessitated the understanding and application of DSP by engineers and technicians.
The aim of this book is to introduce DSP from a practical point of view using a minimum of mathematics. The emphasis is on the practical aspects of DSP, implementation issues, tips and tricks and pitfalls and practical applications. Intuitive explanations and appropriate examples are used to develop a fundamental understanding of DSP theory. The coverage in the book is fairly broad from process control to communications.
A basic knowledge of first year college mathematics is essential to grasp the basic principles in this book; but beyond this the contents are of a fundamental nature and are easy to comprehend.
Converting analog to digital signals and vice versa
Time-domain representation of discrete-time signals and systems
Frequency-domain representation of discrete-time signals
DSP application examples
Finite impulse response filter design
Infinite impulse response (IIR) filter design
Digital filter realizations
Digital signal processors
Hardware and software development tools
A: Binary encoding of quantization levels
B: Practical sessions