Time-Frequency Signal Analysis: Methods and Applications.

@article{Boashash1993TimeFrequencySA,
  title={Time-Frequency Signal Analysis: Methods and Applications.},
  author={B. Boashash},
  journal={Biometrics},
  year={1993},
  volume={49},
  pages={1286}
}
Partial table of contents: FUNDAMENTALS Instantaneous Frequency and Time-Frequency Distributions (B. Boashash & G. Jones) Reduced Interference Time-Frequency Distributions (W. Williams & J. Jeong) Instantaneous Bandwidth (L. Cohen & C. Lee) Wideband Time-Frequency Distributions (J. Speiser, et al.) METHODS FOR NON-STATIONARY RANDOM PROCESSES Techniques and Limitations of Spectrum Analysis with the DFT (F. Harris) Estimation of Instantaneous Frequency of a Noisy Signal (L. White) METHODS FOR… Expand
Orthonormal-Basis Partitioning And Time-Frequency Representation of Non-Stationary Signals
Spectral analysis is important in many fields, such as speech, radar and biomedicine. Many signals encountered in these areas possess time-varying spectral characteristics. The power spectrumExpand
Spatial Time-Frequency Distributions: Theory and Applications
TLDR
This chapter discusses the advances made through time-frequency analysis in direction-of-arrival estimation, signal synthesis, and near-field source characterization. Expand
Joint Time-Frequency And Wavelet Analysis - An Introduction
A traditional frequency analysis is not appropriate for observation of properties of non-stationary signals. This stems from the fact that the time resolution is not defined in the Fourier spectrum.Expand
Recent advances in nonstationary signal analysis: time-varying higher-order spectra and multilinear time-frequency signal analysis
This paper is written to provide both a historical review of past work and an overview of recent advances in time-frequency signal analysis and time-varying higher-order spectra. The paper isExpand
Time-frequency analysis of the first heart sound. Part 2: An appropriate time-frequency representation technique
TLDR
The results of the comparative study show that, although important limitations were found for all five TFRs tested, the CKD appears to be the best technique for the time-frequency analysis of multicomponent signals such as the simulated S1. Expand
Parameter selection for optimising time-frequency distributions and measurements of time-frequency characteristics of non-stationary signals
  • V. Sucic, B. Boashash
  • Mathematics, Computer Science
  • 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221)
  • 2001
TLDR
This paper presents a procedure that allows the analyst to perform the same task in an automatic way using the resolution performance measure for TFD, and optimises all distributions considered and selects the one which results into best concentration of signal components around their instantaneous frequency laws. Expand
Estimation and separation of linear frequency- modulated signals in wireless communications using time - frequency signal processing.
Signal processing has been playing a key role in providing solutions to key problems encountered in communications, in general, and in wireless communications, in particular. Time-Frequency SignalExpand
Hybrid time–frequency methods for non-stationary mechanical signal analysis
Abstract This paper presents a family of hybrid time–frequency methods to be used as a tool for transient signal analysis. These methods are based on autoregressive models of the signal, and on theExpand
Time-frequency shift-tolerance and counterpropagation network with applications to phoneme recognition
TLDR
A recognition scheme is developed for temporal-spectral alignment of nonstationary signals by perfonning preprocessing on the time-frequency distributions of the speech phonemes and a modification to the counterpropagation network is proposed that is suitable for phoneme recognition. Expand
Reduced Interference Time-Frequency Distributions: Scaled Decompositions and Interpretations
TLDR
Application of Cohen's class of time-frequency distributions (TFDs) offers very fast computation of TFDs since very few analysis windows are needed, and fast, recursive, STFT algorithms can be used. Expand
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