As per the present scenario, the increasing growth of technology and the entrance into the digital age, we have to handle a vast amount of information every time which often presents difficulties. So, the digital information must be stored and retrieved in an efficient and effective manner, in order for it to be put to practical use. Compressing an image is significantly different than compress...

This brief paper proposes an efficient multi-input/multi-output VLSI Folded Architecture (MIMOFA) for two-dimensional lifting-based discrete wavelet transforms (DWT). In comparison with other 2-D DWT folded architecture, the advantages of the proposed architecture are 100% hardware utilization, fast computing time (10 times of the parallel filters), regular data flow, and low control complexity...

this paper presents a new coding method for image compression based on jpeg2000 and contourlet transform. jpeg2000 standard is a common standard that uses discrete wavelet transform (dwt) in the compression process. the main problems of dwt are failure to detect curved edges in image and its shortage representation of the ridge and furrow patterns which cause deficiency and block artifacts rema...

We propose in this work a method of electrocardiogram (ECG) signal pretreatment by the application of Discreet Wavelet Transform DWT by automatically determining the optimal order of decomposition. After the purification of the original signal, we describe an algorithm to detect R waves based on the Dyadic Wavelet Transform DyWT by applying a windowing process. This algorithm is validated on a ...

The aim of this study is to employ the wavelet technique for diagnosis of open-circuit and short circuit faults in the dc link of Induction motor drive. The symlet wavelet is selected as the wavelet base to perform stator current analysis during faults. In this method, the stator currents are used as an input to the system. The MATLAB software is used to process discreet wavelet transform (DWT)...

A classification technique using Support Vector Machine (SVM) classifier for detection of rolling element bearing fault is presented here.  The SVM was fed from features that were extracted from of vibration signals obtained from experimental setup consisting of rotating driveline that was mounted on rolling element bearings which were run in normal and with artificially faults induced conditio...

this paper presents the application of radial basis neural networks to the development of a novel method for the condition monitoring and fault diagnosis of synchronous generators. in the proposed scheme, flux linkage analysis is used to reach a decision. probabilistic neural network (pnn) and discrete wavelet transform (dwt) are used in design of fault diagnosis system. pnn as main part of thi...

Discrete Wavelet Transform (DWT) and Discrete Cosine Transform (DCT) are the common methods used in signal and image compression. Wavelet transform are very powerful compared to Fourier transform because its ability to describe any type of signals both in time and frequency domain simultaneously. In this paper, we will discuss the use of Discrete Cosine Transform (DCT) and Wavelet Based Image c...

This paper describes architecture of DCT and DWT standard of an image compression. It is used specially for the compression of images where tolerable degradation is required. The discrete cosine transform is a fast transform and has fixed basis images which gives good compromise between information packing ability and computational complexity. DWT can be used to reduce the image size without lo...

A discrete wavelet transform (DWT) is any wavelet transform for which the wavelets are discretely sampled. As with other wavelet transforms, a key advantage it has over Fourier transforms is temporal resolution as it captures both frequency and location information. DWT filter provides a high compression ratio and image reconstruction quality so as to serve the end user requirements. Some other...