Principles of random signal analysis

[...]... BE and a Ph.D in Electrical Engineering, as well as a BA (Mathematics and Philosophy), by the University of Western Australia Currently he is a Senior Lecturer in the School of Electrical and Computer Engineering at Curtin University of Technology, Perth, Australia His research interests include signal theory, stochastic modeling, 1/f noise, low noise amplier design, nonlinear systems, and nonlinear . 204 7. Memoryless Transformations of Random Processes 206 7.1 Introduction / 206 7.2 Power Spectral Density after a Memoryless Transformation / 206 7.3 Examples / 211 Appendix 1: Proof of Theorem. (212) 85 0-6 008, E-Mail: PERMREQWILEY.COM. For ordering and customer service, call 1-8 00-CALL-WILEY. Library of Congress Cataloging-in-Publication Data is available. ISBN: 0-4 7 1-2 261 7-3 Printed. 6: Proof of Theorem 4.10 / 132 Appendix 7: Proof of Theorem 4.11 / 134 Appendix 8: Proof of Theorem 4.12 / 136 5. Power Spectral Density of Standard Random Processes — Part 1 138 5.1 Introduction