Asynchronous Representation and Processing of Nonstationary Signals

[1]  Gabriel Rilling,et al.  Empirical mode decomposition as a filter bank , 2004, IEEE Signal Processing Letters.

[2]  Luis F. Chaparro,et al.  An asynchronous scale decomposition for biomedical signals , 2011, 2011 IEEE Signal Processing in Medicine and Biology Symposium (SPMB).

[3]  Mingui Sun,et al.  Adaptive level-crossing sampling and reconstruction , 2010, 2010 18th European Signal Processing Conference.

[4]  László Tóth,et al.  Perfect recovery and sensitivity analysis of time encoded bandlimited signals , 2004, IEEE Transactions on Circuits and Systems I: Regular Papers.

[5]  Luis F. Chaparro,et al.  A discrete linear chirp transform (DLCT) for data compression , 2012, 2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA).

[6]  Andrew C. Singer,et al.  A Level-Crossing Sampling Scheme for Non-Bandlimited Signals , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

[7]  Seda Senay,et al.  Regularized signal reconstruction for level-crossing sampling using Slepian functions , 2012, Signal Process..

[8]  N. Huang,et al.  The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis , 1998, Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[9]  Gilbert G. Walter,et al.  Wavelets Based on Prolate Spheroidal Wave Functions , 2004 .

[10]  Jin Jiang,et al.  Time-frequency feature representation using energy concentration: An overview of recent advances , 2009, Digit. Signal Process..

[11]  F. Marvasti Nonuniform sampling : theory and practice , 2001 .

[12]  Leon Cohen,et al.  Time Frequency Analysis: Theory and Applications , 1994 .

[13]  Wen-Liang Hwang,et al.  EMD Revisited: A New Understanding of the Envelope and Resolving the Mode-Mixing Problem in AM-FM Signals , 2012, IEEE Transactions on Signal Processing.

[14]  Ram M. Narayanan,et al.  Hilbert-Huang transform analysis of human activities using through-wall noise and noise-like radar , 2008 .

[15]  Yannis P. Tsividis,et al.  Mixed-Domain Systems and Signal Processing Based on Input Decomposition , 2006, IEEE Transactions on Circuits and Systems I: Regular Papers.

[16]  László Tóth,et al.  An overcomplete stitching algorithm for time decoding machines , 2008, IEEE Transactions on Circuits and Systems I: Regular Papers.

[17]  Seda Senay,et al.  Signal Reconstruction from Nonuniformly Spaced Samples Using Evolutionary Slepian Transform-Based POCS , 2010, EURASIP J. Adv. Signal Process..

[18]  Tom Chau,et al.  Compressive sampling of swallowing accelerometry signals using time-frequency dictionaries based on modulated discrete prolate spheroidal sequences , 2012, EURASIP J. Adv. Signal Process..

[19]  Luis F. Chaparro,et al.  Reconstruction of nonuniformly sampled time-limited signals using prolate spheroidal wave functions , 2009, Signal Process..

[20]  D. B. Preston Spectral Analysis and Time Series , 1983 .

[21]  Amro El-Jaroudi,et al.  Data-adaptive evolutionary spectral estimation , 1995, IEEE Trans. Signal Process..

[22]  Andrew C. Singer,et al.  Adaptive Reference Levels in a Level-Crossing Analog-to-Digital Converter , 2008, EURASIP J. Adv. Signal Process..

[23]  Kareem E. Baddour,et al.  Channel estimation using DPSS based frames , 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

[24]  A. El-Jaroudi,et al.  Evolutionary periodogram for nonstationary signals , 1994, IEEE Trans. Signal Process..

[25]  Truong Q. Nguyen,et al.  Wavelets and filter banks , 1996 .

[26]  A Tikhonov,et al.  Solution of Incorrectly Formulated Problems and the Regularization Method , 1963 .

[27]  D. Slepian,et al.  Prolate spheroidal wave functions, fourier analysis and uncertainty — II , 1961 .