Applied Signal Processing: Concepts, Circuits, and Systems, 1st Edition (Hardback) book cover

Applied Signal Processing

Concepts, Circuits, and Systems, 1st Edition

By Nadder Hamdy

CRC Press

554 pages | 445 B/W Illus.

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pub: 2008-07-25
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Classical signal processing techniques are based primarily on the analog nature of all signals. However, the continuously improving performance of digital circuitry and processors has prompted a switch to digital signal processing techniques rather than the traditional analog ones.

Applied Signal Processing recognizes the linkage between the two paradigms and presents a unified treatment of both subjects (analog and digital signal processing) in one authoritative volume. It introduces underlying principles, basic concepts, and definitions as well as classic and contemporary designs of signal processing systems. The author includes a detailed description of data converters, an interface between the real world of analog signals and the artificial world of digital signals. He provides a concise presentation of topics by limiting the number of complex equations and using lucid language. Numerous real-world application examples are featured within each chapter including architectures from Texas Instruments, Motorola, and Analog Devices.

With its compounded coverage of both analog and digital signal processing techniques, this book provides engineers with the knowledge they need to understand the analog basis of modern digital signal processing techniques and construct architectures for modern systems.  

Table of Contents


What are Signals?

Signal parameters

Why Signal processing?

Analog vs. Digital Signal processing

Practical Signal processing Systems

Analog Signal Processing

Amplitude Shaping

Frequency Spectrum Shaping

Phase Errors Correction

Waveform Generation

Analog Filter Design

Describing Equations

Design Procedures

Filter Specifications

Approximations to the Ideal Response


Practical RC-Filters Design

Switched Capacitor Filter Realization

Design examples

Data Converters


A typical DSP System

Specifications of Data Converters


Sample and Hold Circuits


Basic Quantization Techniques

Digital to Analog Converters

Analog Comparators

Basic ADC Architectures

Practical High-Speed, High- Resolution ADC’s

Testing of Data Converters


Digital Signal Processing

Why Digital Signal processing?

Some Practical DSP Application Examples

Some Basic DSP Operations

The Z- Transform

Digital Filters

Digital Filter Design

Design Procedures

Design of FIR Filters

Approximations for FIR filters

The windowing Method

The Optimal Method

The Frequency Sampling Method

                          The Least Pth-norm Optimal Method

Realization Topologies

Design examples

                          Design of IIR Filters

            Stability Test 

            Realization Topologies

            Approximations for IIR filters

            The Invariant-Impulse Response Method

The Bilinear Transform Method

The Least Pth-Norm Optimal Method

Effect of Finite Word Length Arithmetic

Multi-Rate Signal processing




Fractional sampling rate change

Cascaded decimation / interpolation


Discrete Transforms

The Discrete Fourier Transform

The Inverse Fourier Transform

Properties of the Fourier Transform

The FFT Algorithm

Some other Transforms

The Wavelet Transform

Digital Signal processors

Basic Architecture of a DSP Processor

Features of a Digital Signal Processor

Hardware Implementation of some basic DSP operations

Examples of practical DSP processors

Digital –Signal Processing Systems

Data Acquisition Systems


Pattern Recognition

Data Compression



Active Noise Control   

Subject Categories

BISAC Subject Codes/Headings:
TECHNOLOGY & ENGINEERING / Electronics / Circuits / General