Pseudo Wigner-Ville distribution, computer program and its applications to time-frequency domain problems - Info and Reading Options
By Jae-Jin Jeon

"Pseudo Wigner-Ville distribution, computer program and its applications to time-frequency domain problems" was published by Naval Postgraduate School in 1993 - Monterey, Calif, it has 80 pages and the language of the book is English.
“Pseudo Wigner-Ville distribution, computer program and its applications to time-frequency domain problems” Metadata:
- Title: ➤ Pseudo Wigner-Ville distribution, computer program and its applications to time-frequency domain problems
- Author: Jae-Jin Jeon
- Language: English
- Number of Pages: 80
- Publisher: Naval Postgraduate School
- Publish Date: 1993
- Publish Location: Monterey, Calif
“Pseudo Wigner-Ville distribution, computer program and its applications to time-frequency domain problems” Subjects and Themes:
- Subjects: ➤ SIGNAL PROCESSING - FREQUENCY DOMAIN - DISTRIBUTION FUNCTIONS - TIME SIGNALS - TIME DOMAIN - COMPUTER PROGRAMS - MACHINES - LIFE EXPECTANCY(SERVICE LIFE)
Edition Specifications:
- Pagination: 80 p. :
Edition Identifiers:
- The Open Library ID: OL25489790M - OL16866358W
AI-generated Review of “Pseudo Wigner-Ville distribution, computer program and its applications to time-frequency domain problems”:
"Pseudo Wigner-Ville distribution, computer program and its applications to time-frequency domain problems" Description:
The Open Library:
Machinery operating in non-stationary mode generates a signature which at each instant of time has a distinct frequency. A time-frequency domain representation is needed to characterize such signature. Pseudo Wigner-Ville distribution is ideally suited for portraying non-stationary signal in the time- frequency domain and carried out by adapting the fast Fourier transform algorithm. The important parameters affecting the pseudo Wigner-Ville distribution are discussed and sensitivity analyses are also performed. Practical examples of an actual transient signal are used to illustrate its dynamic features jointly in time and frequency. Pseudo Wigner-Ville distribution, Analytic signal, Hilbert transform, Gaussian window, Time- frequency domain.
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