Time-frequency digital filtering based on an invertible wavelet transform: an application to evoked potentials. Export

@article{citeulike:2619756, abstract = {This paper presents a method to analyze and filter digital signals of finite duration by means of a time-frequency representation. This is done by defining a purely invertible discrete transform, representing a signal either in the time or in the time-frequency domain, as simply as possible with the conventional discrete Fourier transform between the time and the frequency domains. The wavelet concept has been used to build this transform. To get a correct invertibility of this procedure, we have proposed orthogonal and periodic basic discrete wavelets. The properties of such a transform are described, and examples on brain-evoked potential signals are given to illustrate the time-frequency filtering possibilities.}, address = {Brain Signals and Processes Laboratory, INSERM U280, Lyon, France.}, author = {Bertrand, O. and Bohorquez, J. and Pernier, J.}, citeulike-article-id = {2619756}, citeulike-linkout-0 = {http://dx.doi.org/10.1109/10.277274}, citeulike-linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/8200671}, citeulike-linkout-2 = {http://www.hubmed.org/display.cgi?uids=8200671}, doi = {10.1109/10.277274}, issn = {0018-9294}, journal = {IEEE Trans Biomed Eng}, keywords = {electroencephalogram, wavelet}, month = {January}, number = {1}, pages = {77--88}, posted-at = {2008-04-01 14:25:28}, priority = {2}, title = {Time-frequency digital filtering based on an invertible wavelet transform: an application to evoked potentials.}, url = {http://dx.doi.org/10.1109/10.277274}, volume = {41}, year = {1994} }

TY - JOUR ID - citeulike:2619756 L3 - citeulike-article-id:2619756 N2 - This paper presents a method to analyze and filter digital signals of finite duration by means of a time-frequency representation. This is done by defining a purely invertible discrete transform, representing a signal either in the time or in the time-frequency domain, as simply as possible with the conventional discrete Fourier transform between the time and the frequency domains. The wavelet concept has been used to build this transform. To get a correct invertibility of this procedure, we have proposed orthogonal and periodic basic discrete wavelets. The properties of such a transform are described, and examples on brain-evoked potential signals are given to illustrate the time-frequency filtering possibilities. IS - 1 JF - IEEE Trans Biomed Eng SN - 0018-9294 AD - Brain Signals and Processes Laboratory, INSERM U280, Lyon, France. EP - 88 TI - Time-frequency digital filtering based on an invertible wavelet transform: an application to evoked potentials. VL - 41 SP - 77 KW - electroencephalogram KW - wavelet AU - Bertrand, O AU - Bohorquez, J AU - Pernier, J PY - 1994/01// UR - http://dx.doi.org/10.1109/10.277274 ER -