Proceedings Article10.1109/ISCAS.1991.176101
Windowing to simultaneously achieve arbitrary autocorrelation characteristics and probability densities in noise generators
R. Taori,G.D. Cain,Ken Lever +2 more
- 11 Jun 1991
- pp 2693-2696
TL;DR: It is shown that for a given PDF (truncated Cauchy) it is possible, by appropriately costing spectral negativity infractions, to produce a positive approximation to the specified power spectrum.
read more
Abstract: In the design of pseudonoise generators with user-specified characteristics it is possible for the user to inadvertently specify incompatible combinations of probability density function (PDF) and power spectral density. A method is presented which harnesses evolution procedures for optimizing the characteristics of the achieved power spectrum by windowing the corresponding autocorrelation function, given a particular target PDF. It is shown that for a given PDF (truncated Cauchy) it is possible, by appropriately costing spectral negativity infractions, to produce a positive approximation to the specified power spectrum. >
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
References
On the use of windows for harmonic analysis with the discrete Fourier transform
F.J. Harris
- 01 Jan 1978
TL;DR: A comprehensive catalog of data windows along with their significant performance parameters from which the different windows can be compared is included, and an example demonstrates the use and value of windows to resolve closely spaced harmonic signals characterized by large differences in amplitude.
7.9K
An Introduction to Statistical Communication Theory
TL;DR: This IEEE Classic Reissue provides at an advanced level, a uniquely fundamental exposition of the applications of Statistical Communication Theory to a vast spectrum of important physical problems.
1.3K
•Book
An introduction to statistical communication theory
John Bowman Thomas
- 01 Jan 1969
TL;DR: This online pronouncement an introduction to statistical communication theory can be one of the options to accompany you as soon as having extra time.
634
Random processes with specified spectral density and first-order probability density
TL;DR: By simulation, the possibility of generating a process with a specified spectral density and a specified first-order probability distribution by passing a Gaussian process with anappropriately chosen spectral density through an appropriately chosen zero-memory nonlinearity is explored.
61
The uncorrelated output components of a nonlinearity
TL;DR: It is shown here that the output of the nonlinearity of the sinusoidal signal and Gaussian noise can be expressed as the sum of uncorrelated terms whose auto-correlation functions are the terms of Rice's double series.
48