Conventional methods uses Fourier Transform (FT) for Bangla vowel synthesis which has resolution problem. In order to produce better accuracy, we attempted Wavelet Transform (WT) with several wavelet families for analyzing and synthesizing the seven Bangla vowels. The parameters for performance evaluation for selecting optimal wavelet for Bangla phoneme synthesis are normalized root mean square...

Wavelet-based signal processing has become commonplace in the signal processing community over the past decade.Wavelet analysis is often very effective because it provides a simple approach for dealing with local aspects of a signal. Electromyography (EMG) signals can be used for clinical/biomedical applications, Evolvable Hardware Chip (EHW) development, and modern human computer interaction. ...

Wavelet analysis is often very effective because it provides a simple approach for dealing with local aspects of a signal. Electromyography (EMG) signals can be used for clinical/biomedical applications, Evolvable Hardware Chip (EHW) development, and modern human computer interaction. EMG signals acquired from muscles require advanced methods for detection, decomposition, processing, and classi...

A combined wavelet transform (WT) and multiple linear regression (MLR) based technique to forecast price profile in a single settlement real time electricity market has been presented. The historical price and load data has been decomposed into better-behaved wavelet domain constitutive subseries using WT and then combined with other time domain variables to form the set of input variables for ...

The accurate identification of Very Fast Transient Overvoltage (VFTO) is the key overvoltage control in modern smart grids. In order to accurately identify VFTO generated by operation a disconnector Gas Insulated Substation (GIS), method based on Wavelet Transform (WT) and Singular Value Decomposition (SVD) proposed. simulation model established ATP-EMTP software first, then wavelet decompositi...

Increasing requirements for the technical condition of machines induce the development of novel diagnostic methods for possible fault detection and identification in an early phase. Most of these methods are based on the processing of vibration signals. The classical methods often do not give full information about the actual condition of a machine. Therefore, it is necessary developing the app...

The proposed work describes the algorithms for Image Compression using Transform Coding Methods: Modified Hermite Transform (MHT), Discrete Cosine Transform (DCT) and Wavelet Transform (WT).In MHT and DCT, the given image is divided into NxN subblocks and transformation is applied to each block .Then, a threshold value is selected such that to minimize the mean square value between Original ima...

Abstract This paper demonstrates the capabilities of wavelet transform (WT) for analyzing important features related to bottleneck activations and traffic oscillations in congested traffic in a systematic manner. In particular, the analysis of loop detector data from a freeway shows that the use of wavelet-based energy can effectively identify the location of an active bottleneck, the arrival t...

Wavelet transformation is one of the most practical mathematical transformations in the field of image processing, especially image and signal processing. Depending on the nature of the multiresolution analysis, Wavelet transformation become more accessible and powerful tools. In this paper, we refer to the mathematical foundations of this transformation.   Introduction: The...

Time-frequency representations (TFRs) of signals, such as the windowed Fourier transform (WFT), wavelet transform (WT) and their synchrosqueezed variants (SWFT, SWT), provide powerful analysis tools. However, there are many important issues related to the practical use of TFRs that need to be clarified. Here we present a thorough review of these TFRs, summarizing all theoretical, practical and ...