Abstract Standard DWT (Discrete Wavelet Transform), being non-redundant, is a very
powerful tool for many non-stationary Signal Processing applications, but it suffers from …

This paper investigates the use of wavelet transform for denoising speech signals
contaminated with common noises. Shown are the basic principles of wavelet transform as …

This chapter presents a usefulness of wavelet transform (WT) algorithm in pre-processing
stage of surface electromyography (sEMG) signal analysis particularly in application of noise …

The accelerated durability test can be achieved by using the GlyghWorks software through
the process of Mission Profile and Test Synthesis. Mission profile comprises a number of …

Results of lossy image compression using wavelet transforms and several thresholding
techniques are presented here. The analyzed image was divided into little sub-images and …

抄録 Multidetector-row computed tomography (MDCT) has dramatically increased the speed
of scanning, and allows high-resolution imaging compared with conventional single detector …

In spite of their bad resolution, scintigraphic images are used as an indicator of the
functionality of some organs. The drawbacks of this image modality are the bad contrast and …

(57) ABSTRACT A system and method of central auditory processing testing and evaluation
provides for identifying clinically relevant neural synchrony in the auditory brainstem …

In the present work, compression of medical images using Daubechies 9/7 and thresholding
technique is introduced. In this approach one level Discrete Wavelet Transform (DWT) is …

Surface electromyography (EMG) signals acquiring from the muscle activities in
multifunction prosthesis control usually induces some noises. Hence, noisy EMG signals are …