Free Online Productivity Tools
i2Speak
i2Symbol
i2OCR
iTex2Img
iWeb2Print
iWeb2Shot
i2Type
iPdf2Split
iPdf2Merge
i2Bopomofo
i2Arabic
i2Style
i2Image
i2PDF
iLatex2Rtf
Sci2ools
105
click to vote
Book
The Scientist and Engineer's Guide to Digital Signal Processing
"The world of science and engineering is filled with signals: images from remote space probes, voltages generated by the heart and brain, radar and sonar echoes, seismic vibrations, and countless other applications. Digital Signal Processing is the science of using computers to understand these types of data. This includes a wide variety of goals: filtering, speech recognition, image enhancement, data compression, neural networks, and much more. DSP is one of the most powerful technologies that will shape science and engineering in the twenty-first century. Suppose we attach an analog-to-digital converter to a computer, and then use it to acquire a chunk of real world data. DSP answers the question: What next?"
Real-time TrafficAnalog-to-digital | Chebyshev Filters | Data Compression | DFT | Digital Filters | Digital-to-analog | DSP | FFT | Fourier Transform | Laplace Transform | Neural Networks | Recursive Filters | Signal Processing | Z-transform |
| Added | 05 Mar 2009 |
| Updated | 05 Mar 2009 |
| Authors | Steve Smith |
Table of Content
Chapter 1 - The Breadth and Depth of DSP
Chapter 2 - Statistics, Probability and Noise
Chapter 3 - ADC and DAC
Chapter 4 - DSP Software
Chapter 5 - Linear Systems
Chapter 6 - Convolution
Chapter 7 - Properties of Convolution
Chapter 8 - The Discrete Fourier Transform
The Family of Fourier Transform
Chapter 9 - Applications of the DFT
Chapter 10 - Fourier Transform Properties
Chapter 11 - Fourier Transform Pairs
Chapter 12 - The Fast Fourier Transform
Chapter 13 - Continuous Signal Processing
Chapter 14 - Introduction to Digital Filters
Chapter 15 - Moving Average Filters
Chapter 16 - Windowed-Sinc Filters
Chapter 17 - Custom Filters
Chapter 18 - FFT Convolution
Chapter 19 - Recursive Filters
Chapter 20 - Chebyshev Filters
Chapter 21 - Filter Comparison
Chapter 22 - Audio Processing
Chapter 24 - Linear Image Processing
Chapter 25 - Special Imaging Techniques
Chapter 26 - Neural Networks (and more!)
Chapter 27 - Data Compression
Chapter 28 - Digital Signal Processors
Chapter 29 - Getting Started with DSPs
Chapter 30 - Complex Numbers
Chapter 31 - The Complex Fourier Transform
Chapter 32 - The Laplace Transform
Chapter 33 - The z-Transform
Chapter 34 - Explaining Benford's Law
Comments (0)
Researcher Info
|
From Researcher
