Sig Pro

(Freely Distributable) (All Rights Reserved by the Georgia Tech Research Corporation) Signal Processing Packages (SPP) and Notebooks 2.9.5 for Mathematica Version 1.2 and higher by Brian Evans 211-105 Cory Hall Dept. of Electrical Engineering and Computer Sciences University of California Berkeley, CA 94720 and James McClellan, Kevin West, Wallace McClure, Lina Karam, Joe Winograd, Todd Bacon, James Proctor, and Terrence Crone Digital Signal Processing Laboratory School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta, GA 30332-0250 2/4/94 Primary E-mail Contact: ble@ohm.eecs.berkeley.edu Home Archive Site: gauss.eedsp.gatech.edu (IP #130.207.226.24) TABLE OF CONTENTS Line Introduction .......................................... 67 Index of Files ........................................ 90 Installation on an IBM PC .............................. 128 Installation on a NeXT Machine ........................ 156 Installation on a Unix Workstation Other Than a NeXT ... 172 Installation on a Macintosh ........................... 195 Macintosh Users ....................................... 206 Warning ............................................... 217 -1- Related Archive Sites ................................. 232 Getting started ....................................... 254 Transform Capabilities ................................ 292 Knowledge Representation for Signals and Systems ...... 314 Other Abilities of These Packages ..................... 334 Signal Processing Notebooks ........................... 348 Alteration of Standard Mathematica Routines ........... 375 Disclaimer and Future Releases ........................ 382 Suggestion ............................................ 403 Documentation ......................................... 412 References on the Signal Processing Packages .......... 424 References on the Signal Processing Packages and Notebooks 440 References on Transforms .............................. 463 References on Symbolic Signal Processing .............. 486 ---> Introduction The signal processing packages implement many concepts from linear systems theory, esp. linear transforms and convolution. The linear trans- forms, such as Laplace and Fourier transforms in continuous time and the z-transform and others in discrete time, are implemented symbolically in one-dimension and multiple dimensions. The discrete-time and continuous- time convolution algorithms implement symbolic piecewise convolution in one dimension. Accompanying the signal processing packages…