Journal ArticleDOI
Special purpose hardware for time frequency analysis
TLDR
A special purpose hardware system for time-frequency signal analysis based on the S-method which has the significant advantage of using the short time Fourier transform as an intermediate step in its implementation.Abstract:
A special purpose hardware system for time-frequency signal analysis is presented. This system is based on the S-method which has the significant advantage of using the short time Fourier transform as an intermediate step in its implementation. The hardware designed for a fixed point arithmetic is well-structured and suitable for VLSI implementation. An example including an error analysis is also provided.read more
Citations
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Book
Time-Frequency Signal Analysis With Applications
TL;DR: Introduction to Fourier Analysis Linear Time-Frequency Representations Quadratic Time- frequency Distributions Higher Order Time-f frequency Representations Analysis of Non-Stationary Noisy Signals Some Applications of Time- Frequency Analysis.
Journal ArticleDOI
The Wigner distribution of noisy signals with adaptive time-frequency varying window
TL;DR: A simple adaptive algorithm for the efficient time-frequency representation of noisy signals using the Wigner distribution is developed and can be generalized for application on multicomponent signals with any distribution from the Cohen (1989, 1990, 1992) class.
Journal ArticleDOI
An architecture for the realization of a system for time-frequency signal analysis
TL;DR: An architecture of the system for time-frequency signal analysis based on the S-method, whose special cases are two the most important distributions: the spectrogram and the Wigner distribution is presented.
Journal ArticleDOI
An architecture for the vlsi design of systems for time-frequency analysis and time-varying filtering
TL;DR: A flexible system for time-frequency signal analysis based on the S-method, which has a significant advantage in implementation since it can involve, as a key intermediate step, the Short-time Fourier transform or the Hartley transform, each widely studied and commonly used in practice.
Journal ArticleDOI
Polynomial cancellation coding and finite differences
TL;DR: The mathematical context for polynomial cancellation coding, proposed previously to reduce intercarrier interference in orthogonal frequency division multiplexing (OFDM), is given.
References
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Journal ArticleDOI
Time-frequency distributions-a review
TL;DR: A review and tutorial of the fundamental ideas and methods of joint time-frequency distributions is presented with emphasis on the diversity of concepts and motivations that have gone into the formation of the field.
Journal ArticleDOI
A method for time-frequency analysis
TL;DR: This method provides some substantial advantages over the Wigner distribution, including the fact that the well-known cross term effects are reduced or completely removed, and the computation time can be significantly shorter.
Journal ArticleDOI
A method for improved distribution concentration in the time-frequency analysis of multicomponent signals using the L-Wigner distribution
TL;DR: The energy location in the Cohen class of time-frequency distributions is analyzed and the scaled version of the Wigner distribution (L-Wigner distributions), is used to improve the time- frequencies representation of signals with nonlinear instantaneous frequencies.
Journal ArticleDOI
On the Wigner distribution of discrete-time noisy signals with application to the study of quantization effects
TL;DR: It is shown that the application of only one window is sufficient to make the variance of the WD estimator finite, which is a significant difference from the analog case, where two windows are needed.
Journal ArticleDOI
On the local frequency, group shift, and cross-terms in some multidimensional time-frequency distributions: a method for multidimensional time-frequency analysis
TL;DR: An efficient method, derived from the analysis of the multidimensional Wigner distribution defined in the frequency domain, is proposed, which provides some substantial advantages over the Wigners: the well known cross-terms effects are reduced or completely removed; the oversampling of signals is shown to be unnecessary; and the computation time can be significantly reduced, as well.