Paper
24 December 2003 Time-frequency characterization of random systems
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Abstract
We have previously presented a method to write equations for the Wigner distribution corresponding to the solution of a linear differential equation. We extend this method to arbitrary time-frequency distributions, the Short Time Fourier Transform, and the wavelet transform. Also, we apply the method to stochastic signals and address a number of applications including Brownian motion. We obtain the Wigner distribution for Brownian motion by solving the Langevin equation and also by using our method. We obtain exact solutions.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lorenzo Galleani and Leon Cohen "Time-frequency characterization of random systems", Proc. SPIE 5205, Advanced Signal Processing Algorithms, Architectures, and Implementations XIII, (24 December 2003); https://doi.org/10.1117/12.513900
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CITATIONS
Cited by 4 scholarly publications.
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KEYWORDS
Time-frequency analysis

Fourier transforms

Filtering (signal processing)

Particles

Continuous wavelet transforms

Differential equations

Electronic filtering

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