a cochlear implant is an implanted electronic device used to provide a sensation of hearing to a person who is hard of hearing. the cochlear implant is often referred to as a bionic ear. this paper presents an undecimated wavelet‑based speech coding strategy for cochlear implants, which gives a novel speech processor. the undecimated wavelet packet transform (uwpt) is computed like the wavelet ...

Wavelet transform multi-stage identification system is presented. This paper intends to introduce high accuracy of identification the speech signal of very difficult nature that is nonstationary. Three methods are used to extract the essential speaker features based on Continuous, Discrete Wavelet Transform and Statistical Quality Evaluation Method. To have better identification rate three meas...

Continuous wavelet design is the endeavor to construct mother wavelets with desirable properties for continuous transform (CWT). One class of methods choosing a involves minimizing functional, called uncertainty functional. Recently, two new functionals were derived from theoretical foundations. In both approaches, describes its concentration, or accuracy, as time-scale probe. While an can be p...

Spatio-temper-al data mining involves exti-acting and analyzing useful information embedded in a large spatio temporal database. Cluster analysis, one of the data mining techniques, provides the capabilip to investigate the spatio-temporal variation of data. Previous studies in cluster analysis indicate that the optimal number of clusters could be varied with the temporal scale of input data. T...

The Wavelet transform has emerged over recent years as a key time frequency analysis and coding tool for the Electrocardiogram (ECG). Its ability to separate out pertinent signal components has led to a number of wavelet based techniques which supersede those based on traditional Fourier methods. It is interesting to note that researchers in the field of Wavelet transform tend to take an approa...

This paper aims at studying the characterization of Diracstructure edges with a novel wavelet transform, and selecting the suitable wavelet functions to detect them. Three significant characteristics of the local maximum modulus of the wavelet transform with respect to the Dirac-structure edges are presented. By utilizing a novel continuous wavelet, it is proven that the local maxima modulus of...