Embree Paul M. C Algorithms for Real-Time DSP

Prentice Hall PTR, 1995. — 248 p.Digital signal processing techniques have become the method of choice in signal processing as digital computers have increased in speed, convenience, and availability. At the same time, the C language is proving itself to be a valuable programming tool for real-time computationally intensive software tasks. This book is a complete guide to digital signal processing techniques in the C language. Covers the basic principles of digital signal processing and C programming. Introduces the basic real-time DSP programming techniques and typical programming environments which are used with DSP microprocessors. Covers the basic real-time filtering techniques which are the cornerstone of one-dimensional real-time digital signal processing. For electrical engineers and computer scientists.Digital Signal Processing Fundamentals.
Sequences.
Linear Time-Invariant Operators.
Digital Filters.
Discrete Fourier Transforms.
Nonlinear Operators.
Probability and Random Processes.
Adaptive Filters and Systems.С Programming Fundamentals.
The Elements of Real-Time DSP Programming.
Variables and Data Types.
Operators.
Program Control.
Functions.
Macros and the С Preprocessor.
Pointers and Arrays.
Structures.
Common С Programming Pitfalls.
Numerical С Extensions.
Comments on Programming Style.DSP Microprocessors in Embedded Systems.
Typical Floating-Point Digital Signal Processors.
Typical Programming Tools for DSP.
Advanced С Software Tools for DSP.
Real-Time System Design Considerations.
Real-Time Filtering.
Real-Time FIR and IIR Filters.
Filtering to Remove Noise.
Sample Rate Conversion.
Fast Filtering Algorithms.
Oscillators and Waveform Synthesis.Real-Time DSP Applications.
FFT Power Spectrum Estimation.
Parametric Spectral Estimation.
Speech Processing.
Music Processing.
Adaptive Filter Applications.Appendix. DSP Function Library and Programs.
Index.