Time-frequency analysis: theory and applications
Time-frequency analysis: theory and applications
Adaptive threshold determination for spectral peak classification
Computer Music Journal
Improving the readability of time-frequency and time-scalerepresentations by the reassignment method
IEEE Transactions on Signal Processing
Multitaper Time-Frequency Reassignment for Nonstationary Spectrum Estimation and Chirp Enhancement
IEEE Transactions on Signal Processing
Multiple window time-varying spectral analysis
IEEE Transactions on Signal Processing
Expected number of maxima in the envelope of a spherically invariant random process
IEEE Transactions on Information Theory
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We present a method that efficiently describes non-stationarities by parameterizing spectral peaks in terms of the frequency reassignment operator variation and null-to-null peak bandwidth. This kind of parameterization is designed in such a way to properly deal with situations of low signal-to-noise ratios. In addition, it provides for a strong separation between the sinusoidal and noise peak class in a two-dimensional (2D) feature space. Consequently, the percentage of misclassified spectral peaks is drastically reduced, which significantly simplifies the analysis/synthesis of audio signals in the following processing stages.