DSP Programs and Files

Book Search

Table of contents

1: The Breadth and Depth of DSP
- The Roots of DSP
- Telecommunications
- Audio Processing
- Echo Location
- Image Processing
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
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
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
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
6: Convolution
- The Delta Function and Impulse Response
- Convolution
- The Input Side Algorithm
- The Output Side Algorithm
- The Sum of Weighted Inputs
7: Properties of Convolution
- Common Impulse Responses
- Mathematical Properties
- Correlation
- Speed
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
9: Applications of the DFT
- Spectral Analysis of Signals
- Frequency Response of Systems
- Convolution via the Frequency Domain
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
11: Fourier Transform Pairs
- Delta Function Pairs
- The Sinc Function
- Other Transform Pairs
- Gibbs Effect
- Harmonics
- Chirp Signals
12: The Fast Fourier Transform
- Real DFT Using the Complex DFT
- How the FFT works
- FFT Programs
- Speed and Precision Comparisons
- Further Speed Increases
13: Continuous Signal Processing
- The Delta Function
- Convolution
- The Fourier Transform
- The Fourier Series
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
15: Moving Average Filters
- Implementation by Convolution
- Noise Reduction vs. Step Response
- Frequency Response
- Relatives of the Moving Average Filter
- Recursive Implementation
16: Windowed-Sinc Filters
- Strategy of the Windowed-Sinc
- Designing the Filter
- Examples of Windowed-Sinc Filters
- Pushing it to the Limit
17: Custom Filters
- Arbitrary Frequency Response
- Deconvolution
- Optimal Filters
18: FFT Convolution
- The Overlap-Add Method
- FFT Convolution
- Speed Improvements
19: Recursive Filters
- The Recursive Method
- Single Pole Recursive Filters
- Narrow-band Filters
- Phase Response
- Using Integers
20: Chebyshev Filters
- The Chebyshev and Butterworth Responses
- Designing the Filter
- Step Response Overshoot
- Stability
21: Filter Comparison
- Match #1: Analog vs. Digital Filters
- Match #2: Windowed-Sinc vs. Chebyshev
- Match #3: Moving Average vs. Single Pole
22: Audio Processing
- Human Hearing
- Timbre
- Sound Quality vs. Data Rate
- High Fidelity Audio
- Companding
- Speech Synthesis and Recognition
- Nonlinear Audio Processing
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
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
25: Special Imaging Techniques
- Spatial Resolution
- Sample Spacing and Sampling Aperture
- Signal-to-Noise Ratio
- Morphological Image Processing
- Computed Tomography
26: Neural Networks (and more!)
- Target Detection
- Neural Network Architecture
- Why Does it Work?
- Training the Neural Network
- Evaluating the Results
- Recursive Filter Design
27: Data Compression
- Data Compression Strategies
- Run-Length Encoding
- Huffman Encoding
- Delta Encoding
- LZW Compression
- JPEG (Transform Compression)
- MPEG
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
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
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
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
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
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
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

How to order your own hardcover copy

Wouldn't you rather have a bound book instead of 640 loose pages?
Your laser printer will thank you!
Order from Amazon.com.

DSP Programs and Files

Courtesy of: The Scientist and Engineer's Guide to Digital Signal Processing. The following programs and files may be freely used for any noncommercial purpose.

Now available for downloading

PROGRAMS FROM THE "The Scientist and Engineer's Guide to DSP"
This is an ASCII file containing all the programs listed in "The Scientist and Engineer's Guide to Digital Signal Processing." (file size: 44k)
Click here to download: PROGRAMS.TXT, dated: 3/2/99

FFT PROGRAM
The Fast Fourier Transform, runs under DOS or windows. Calculates the forward and inverse transforms. Reads and writes the signals in ASCII. Run the program for instructions. (file size: 107k)
Click here to download: FFT.EXE, version 1.1, dated 11/30/97
FR.DAT (test data for the above program)
FI.DAT (test data for the above program)
TR.DAT (test data for the above program)
TI.DAT (test data for the above program)

HOMEWORK PROBLEMS: Chapters 2-13
Homework problems for Chapters 2-13, in ASCII. (file size: 43k)
Click here to download: HOMEWORK.TXT, dated: 09/17/98

COMPUTER EXERCISES: Chapters 2-12
Homework computer exercises for Chapters 2-13, in ASCII. (file size: 18k)
Click here to download: COMPEXER.TXT, dated: 09/17/98