Digital Speech; Coding for Low Bit Rate Communication Systems
Digital Speech; Coding for Low Bit Rate Communication Systems
Discrete-time speech signal processing: principles and practice
Discrete-time speech signal processing: principles and practice
Discrete-time local polynomial approximation of the instantaneousfrequency
IEEE Transactions on Signal Processing
The chirplet transform: physical considerations
IEEE Transactions on Signal Processing
The fractional Fourier transform and time-frequency representations
IEEE Transactions on Signal Processing
Construction of positive time-frequency distributions
IEEE Transactions on Signal Processing
Digital computation of the fractional Fourier transform
IEEE Transactions on Signal Processing
Matching pursuits with time-frequency dictionaries
IEEE Transactions on Signal Processing
A fast refinement for adaptive Gaussian chirplet decomposition
IEEE Transactions on Signal Processing
An adaptive optimal-kernel time-frequency representation
IEEE Transactions on Signal Processing
Unitary equivalence: a new twist on signal processing
IEEE Transactions on Signal Processing
A four-parameter atomic decomposition of chirplets
IEEE Transactions on Signal Processing
Time---Frequency Analysis of Vietnamese Speech Inspired on Chirp Auditory Selectivity
PRICAI '08 Proceedings of the 10th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
EURASIP Journal on Advances in Signal Processing - Special issue on digital audio effects
Query by humming: Automatically building the database from music recordings
Pattern Recognition Letters
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This paper presents a novel transform related to the framework of warping operators when the continuous time warping mapping is a second-order polynomial. This case is proven in the paper to be the only one from the aforementioned group that marginalizes the Wigner distribution along line paths, in particular, with a fan geometry. The properties and attributes of the fan-chirp transform (FChT) along with the analytical characterization of harmonically related Gaussian chirplets bear especial relevance in the paper. This analysis shows that for chirp-periodic signals the FChT can reach the limit of the time-frequency (TF) uncertainty principle, while simultaneously keeping the cross-terms at minimum level. The formulation of the fast digital computation of the FChT is also provided in the paper. Two practical scenarios-the analysis of speech with natural intonation and bat ultrasound-validate the theoretical developments and shows manifestly the eloquent competitive performance of the new transform.