Ten lectures on wavelets
Time-frequency analysis: theory and applications
Time-frequency analysis: theory and applications
Wavelets and subband coding
Time-frequency representation of multicomponent chirp signals
Signal Processing
Parametric modelling of non-stationary signals: a unified approach
Signal Processing
Local polynomial Wigner distribution
Signal Processing
Local discriminant time-frequency atoms for signal classification
Signal Processing
Time-frequency representation based on the reassigned S-method
Signal Processing
Local polynomial-time-frequency transform formulation of the pseudo-L-Wigner distribution
Signal Processing - Special section on Markov Chain Monte Carlo (MCMC) methods for signal processing
A measure of some time-frequency distributions concentration
Signal Processing - Special section on digital signal processing for multimedia communications and services
Intelligent Systems in Process Engineering; Paradigms from Design and Operations
Intelligent Systems in Process Engineering; Paradigms from Design and Operations
IF estimation using higher order TFRs
Signal Processing
SIAM Journal on Scientific Computing
Classification of Piano Sounds Using Time-Frequency Signal Analysis
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97)-Volume 3 - Volume 3
Class-Dependent, Discrete Time-Frequency Distributions via Operator Theory
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97)-Volume 3 - Volume 3
Signal Processing - From signal processing theory to implementation
Active Fault Tolerant Control Systems: Stochastic Analysis and Synthesis
Active Fault Tolerant Control Systems: Stochastic Analysis and Synthesis
Time-frequency signal analysis based on the windowed fractional Fourier transform
Signal Processing - Special issue: Fractional signal processing and applications
Time-frequency localization with the Hartley S-transform
Signal Processing
Design of matched wavelets based on generalized Mexican-hat function
Signal Processing
A new subclass of complex-valued S-transform windows
Signal Processing - Special section: Advances in signal processing-assisted cross-layer designs
Time-frequency kernel design via point and derivative constraints
ICASSP '94 Proceedings of the Acoustics, Speech, and Signal Processing,1994. on IEEE International Conference - Volume 04
ICASSP '94 Proceedings of the Acoustics, Speech, and Signal Processing,1994. on IEEE International Conference - Volume 04
Renyi information and signal-dependent optimal kernel design
ICASSP '95 Proceedings of the Acoustics, Speech, and Signal Processing, 1995. on International Conference - Volume 02
Instantaneous frequency and time-frequency distributions
ICASSP '95 Proceedings of the Acoustics, Speech, and Signal Processing, 1995. on International Conference - Volume 02
Pattern Recognition and Prediction with Applications to Signal Processing (Aip Series in Modern Acoustics and Signal Processing)
Local polynomial periodograms for signals with the time-varying frequency and amplitude
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 03
Optimization of time and frequency resolution for radar transmitter identification
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 03
Data-driven time-frequency classification techniques applied to tool-wear monitoring
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 02
Adaptive instantaneous frequency estimation of multi-component FM signals
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 02
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 02
A high resolution time frequency representation with significantly reduced cross-terms
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 02
Newborn EEG seizure pattern characterisation using time-frequency analysis
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 200. on IEEE International Conference - Volume 02
Efficient analysis of time-varying multicomponent signals with modified LPTFT
EURASIP Journal on Applied Signal Processing
Time-frequency (Wigner) analysis of linear and nonlinear pulse propagation in optical fibers
EURASIP Journal on Applied Signal Processing
A new approach for estimation of instantaneous mean frequency of a time-varying signal
EURASIP Journal on Applied Signal Processing
Performance of quadratic time-frequency distributions as instantaneous frequency estimators
IEEE Transactions on Signal Processing
Kernel design for reduced interference distributions
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Auto-term representation by the reduced interference distributions: a procedure for kernel design
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
The time-frequency distributions of nonstationary signals based ona Bessel kernel
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Generalized instantaneous parameters and window matching in thetime-frequency plane
IEEE Transactions on Signal Processing
Mutual information-based feature extraction on the time-frequencyplane
IEEE Transactions on Signal Processing
The Wigner distribution of noisy signals with adaptivetime-frequency varying window
IEEE Transactions on Signal Processing
The relationship between instantaneous frequency and time-frequencyrepresentations
IEEE Transactions on Signal Processing
A signal-dependent time-frequency representation: optimal kerneldesign
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Time-frequency distributions with complex argument
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
A method for time-frequency analysis
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Improving the readability of time-frequency and time-scalerepresentations by the reassignment method
IEEE Transactions on Signal Processing
Minimum-variance time-frequency distribution kernels
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Localization of the complex spectrum: the S transform
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Robust Wigner distribution with application to the instantaneousfrequency estimation
IEEE Transactions on Signal Processing
High spectral resolution time-frequency distribution kernels
IEEE Transactions on Signal Processing
The generalized exponential time-frequency distribution
IEEE Transactions on Signal Processing
Fast computation of the ambiguity function and the Wignerdistribution on arbitrary line segments
IEEE Transactions on Signal Processing
Instantaneous frequency and conditional moments in thetime-frequency plane
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
A high-resolution quadratic time-frequency distribution formulticomponent signals analysis
IEEE Transactions on Signal Processing
Adaptive cone-kernel time-frequency analysis
IEEE Transactions on Signal Processing
A simple scheme for adapting time-frequency representations
IEEE Transactions on Signal Processing
Hybrid linear/quadratic time-frequency attributes
IEEE Transactions on Signal Processing
The fractional Fourier transform and time-frequency representations
IEEE Transactions on Signal Processing
Radon transformation of time-frequency distributions for analysisof multicomponent signals
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Highly concentrated time-frequency distributions: pseudo quantumsignal representation
IEEE Transactions on Signal Processing
Construction of positive time-frequency distributions
IEEE Transactions on Signal Processing
Duality and classification of bilinear time-frequency signalrepresentations
IEEE Transactions on Signal Processing
Minimum variance time-frequency distribution kernels for signals inadditive noise
IEEE Transactions on Signal Processing
On generalized-marginal time-frequency distributions
IEEE Transactions on Signal Processing
Matching pursuits with time-frequency dictionaries
IEEE Transactions on Signal Processing
Improved instantaneous frequency estimation using an adaptiveshort-time Fourier transform
IEEE Transactions on Signal Processing
Tomography time-frequency transform
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
An adaptive optimal-kernel time-frequency representation
IEEE Transactions on Signal Processing
Design of time-frequency representations using a multiform,tiltable exponential kernel
IEEE Transactions on Signal Processing
Unitary equivalence: a new twist on signal processing
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Relations between fractional operations and time-frequencydistributions, and their applications
IEEE Transactions on Signal Processing
Kernel design for time-frequency signal analysis using the Radontransform
IEEE Transactions on Signal Processing
Optimizing time-frequency kernels for classification
IEEE Transactions on Signal Processing
A four-parameter atomic decomposition of chirplets
IEEE Transactions on Signal Processing
Selective Regional Correlation for Pattern Recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Nonparametric estimation of instantaneous frequency
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Measuring time-frequency information content using the Renyi entropies
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory - Part 2
Time-frequency analysis and hermite projection method applied to swallowing accelerometry signals
EURASIP Journal on Advances in Signal Processing - Special issue on applications of time-frequency signal processing in wireless communications and bioengineering
International Journal of Applied Mathematics and Computer Science - Computational Intelligence in Modern Control Systems
On low resolution ultrasonic image processing for target recognition purposes
MACMESE'11 Proceedings of the 13th WSEAS international conference on Mathematical and computational methods in science and engineering
Wavelet ridges for musical instrument classification
Journal of Intelligent Information Systems
Adaptive windowed cross Wigner-Ville distribution as an optimum phase estimator for PSK signals
Digital Signal Processing
Signal-adaptive discrete evolutionary transform as a sparse time-frequency representation
Digital Signal Processing
Multi-level basis selection of wavelet packet decomposition tree for heart sound classification
Computers in Biology and Medicine
Baseline characteristics of cervical auscultation signals during various head maneuvers
Computers in Biology and Medicine
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Signal processing can be found in many applications and its primary goal is to provide underlying information on specific problems for the purpose of decision making. Traditional signal processing approaches assume the stationarity of signals, which in practice is not often satisfied. Hence, time or frequency descriptions alone are insufficient to provide comprehensive information about such signals. On the contrary, time-frequency analysis is more suitable for nonstationary signals. Therefore, this paper provides a status report of feature based signal processing in the time-frequency domain through an overview of recent contributions. The feature considered here is energy concentration. The paper provides an analysis of several classes of feature extractors, i.e., time-frequency representations, and feature classifiers. The results of the literature review indicate that time-frequency domain signal processing using energy concentration as a feature is a very powerful tool and has been utilized in numerous applications. The expectation is that further research and applications of these algorithms will flourish in the near future.