The Scientist & Engineer’s Guide to Digital Signal Processing

Author: Steven W. Smith
Publisher: California Technical Pu
Keywords: signal, processing, digital, guide, engineer’s, scientist
Number of Pages: 626
Published: 1997-06-13
ISBN-10: 0966017633
ISBN-13: 9780966017632

Book Description:

Clear and concise explanations of practical DSP techniques. Written for scientists and engineers needing the power of DSP, but not the abstract theory and detailed mathematics.

Contents

FOUNDATIONS

Chapter 1 - The Breadth and Depth of DSP

The Roots of DSP

Telecommunications

Audio Processing

Echo Location

Image Processing

Chapter 2 - Statistics, Probability and Noise

Signal and Graph Terminology

Mean and Standard Deviation

Signal vs. Underlying Process

The Histogram, Pmf and Pdf

The Normal Distribution

Digital Noise Generation

Precision and Accuracy

Chapter 3 - ADC and DAC

Quantization

The Sampling Theorem

Digital-to-Analog Conversion

Analog Filters for Data Conversion

Selecting The Antialias Filter

Multirate Data Conversion

Single Bit Data Conversion

Chapter 4 - DSP Software

Computer Numbers

Fixed Point (Integers)

Floating Point (Real Numbers)

Number Precision

Execution Speed: Program Language

Execution Speed: Hardware

Execution Speed: Programming Tips

 

 

FUNDAMENTALS

Chapter 5 - Linear Systems

Signals and Systems

Requirements for Linearity

Static Linearity and Sinusoidal Fidelity

Examples of Linear and Nonlinear Systems

Special Properties of Linearity

Superposition: the Foundation of DSP

Common Decompositions

Alternatives to Linearity

Chapter 6 - Convolution

The Delta Function and Impulse Response

Convolution

The Input Side Algorithm

The Output Side Algorithm

The Sum of Weighted Inputs

Chapter 7 - Properties of Convolution

Common Impulse Responses

Mathematical Properties

Correlation

Speed

Chapter 8 - The Discrete Fourier Transform

The Family of Fourier Transform

Notation and Format of the Real DFT

The Frequency Domain’s Independent Variable

DFT Basis Functions

Synthesis, Calculating the Inverse DFT

Analysis, Calculating the DFT

Duality

Polar Notation

Polar Nuisances

Chapter 9 - Applications of the DFT

Spectral Analysis of Signals

Frequency Response of Systems

Convolution via the Frequency Domain

Chapter 10 - Fourier Transform Properties

Linearity of the Fourier Transform

Characteristics of the Phase

Periodic Nature of the DFT

Compression and Expansion, Multirate methods

Multiplying Signals (Amplitude Modulation)

The Discrete Time Fourier Transform

Parseval’s Relation

Chapter 11 - Fourier Transform Pairs

Delta Function Pairs

The Sinc Function

Other Transform Pairs

Gibbs Effect

Harmonics

Chirp Signals

Chapter 12 - The Fast Fourier Transform

Real DFT Using the Complex DFT

How the FFT works

FFT Programs

Speed and Precision Comparisons

Further Speed Increases

Chapter 13 - Continuous Signal Processing

The Delta Function

Convolution

The Fourier Transform

The Fourier Series

 

 

DIGITAL FILTERS

Chapter 14 - Introduction to Digital Filters

Filter Basics

How Information is Represented in Signals

Time Domain Parameters

Frequency Domain Parameters

High-Pass, Band-Pass and Band-Reject Filters

Filter Classification

Chapter 15 - Moving Average Filters

Implementation by Convolution

Noise Reduction vs. Step Response

Frequency Response

Relatives of the Moving Average Filter

Recursive Implementation

Chapter 16 - Windowed-Sinc Filters

Strategy of the Windowed-Sinc

Designing the Filter

Examples of Windowed-Sinc Filters

Pushing it to the Limit

Chapter 17 - Custom Filters

Arbitrary Frequency Response

Deconvolution

Optimal Filters

Chapter 18 - FFT Convolution

The Overlap-Add Method

FFT Convolution

Speed Improvements

Chapter 19 - Recursive Filters

The Recursive Method

Single Pole Recursive Filters

Narrow-band Filters

Phase Response

Using Integers

Chapter 20 - Chebyshev Filters

The Chebyshev and Butterworth Responses

Designing the Filter

Step Response Overshoot

Stability

Chapter 21 - Filter Comparison

Match #1: Analog vs. Digital Filters

Match #2: Windowed-Sinc vs. Chebyshev

Match #3: Moving Average vs. Single Pole

 

 

APPLICATIONS

Chapter 22 - Audio Processing

Human Hearing

Timbre

Sound Quality vs. Data Rate

High Fidelity Audio

Companding

Speech Synthesis and Recognition

Nonlinear Audio Processing

Chapter 23 - Image Formation & Display

Digital Image Structure

Cameras and Eyes

Television Video Signals

Other Image Acquisition and Display

Brightness and Contrast Adjustments

Grayscale Transforms

Warping

Chapter 24 - Linear Image Processing

Convolution

3x3 Edge Modification

Convolution by Separability

Example of a Large PSF: Illumination Flattening

Fourier Image Analysis

FFT Convolution

A Closer Look at Image Convolution

Chapter 25 - Special Imaging Techniques

Spatial Resolution

Sample Spacing and Sampling Aperture

Signal-to-Noise Ratio

Morphological Image Processing

Computed Tomography

Chapter 26 - Neural Networks (and more!)

Target Detection

Neural Network Architecture

Why Does it Work?

Training the Neural Network

Evaluating the Results

Recursive Filter Design

Chapter 27 - Data Compression

Data Compression Strategies

Run-Length Encoding

Huffman Encoding

Delta Encoding

LZW Compression

JPEG (Transform Compression)

MPEG

Chapter 28 - Digital Signal Processors

How DSPs are Different from Other Microprocessors

Circular Buffering

Architecture of the Digital Signal Processor

Fixed versus Floating Point

C versus Assembly

How Fast are DSPs?

The Digital Signal Processor Market

Chapter 29 - Getting Started with DSPs

The ADSP-2106x family

The SHARC EZ-KIT Lite

Design Example: An FIR Audio Filter

Analog Measurements on a DSP System

Another Look at Fixed versus Floating Point

Advanced Software Tools

 

 

COMPLEX TECHNIQUES

Chapter 30 - Complex Numbers

The Complex Number System

Polar Notation

Using Complex Numbers by Substitution

Complex Representation of Sinusoids

Complex Representation of Systems

Electrical Circuit Analysis

Chapter 31 - The Complex Fourier Transform

The Real DFT

Mathematical Equivalence

The Complex DFT

The Family of Fourier Transforms

Why the Complex Fourier Transform is Used

Chapter 32 - The Laplace Transform

The Nature of the s-Domain

Strategy of the Laplace Transform

Analysis of Electric Circuits

The Importance of Poles and Zeros

Filter Design in the s-Domain

Chapter 33 - The z-Transform

The Nature of the z-Domain

Analysis of Recursive Systems

Cascade and Parallel Stages

Spectral Inversion

Gain Changes

Chebyshev-Butterworth Filter Design

The Best and Worst of DSP

Chapter 34 - Explaining Benford’s Law

Frank Benford’s Discovery

Homomorphic Processing

The Ones Scaling Test

Writing Benford’s Law as a Convolution

Solving in the Frequency Domain

Solving Mystery #1

Solving Mystery #2

More on Following Benford’s law

Analysis of the Log-Normal Distribution

The Power of Signal Processing


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