Pre-processing of speech signals is considered a crucial step in the development of a robust and efficient speech or speaker recognition system. This paper deals with different speech processing techniques and the recognition accuracy with respect to wavelet transforms. It is shown that by applying wavelet transform to the conventional methods the signal recognition accuracy will be increased b...

Image Denoising has remained a fundamental problem in the field of image processing. It still remains a challenge for researchers because noise removal introduces artifacts and causes blurring of the images. In the existing system the signal denoising is performed using neighbouring wavelet coefficients. The standard discrete wavelet transform is not shift invariant due to decimation operation....

Study for improving the coded speech by tight framelet packet transform In this paper we propose to study the performance of a new time-frequency representation called the tight framelet packets transform in speech coding. For this, we performed a comparative study with the wavelet packets transform. Performance evaluation was done using various objective criteria : the coding gain, the normali...

The paper presents a new digital image hiding algorithm based on wavelet packets transform and singular value decomposition. The low-frequency sub-band of wavelet packets transform has strong antijamming capacity and the singular value has very strong stability. The presented algorithm implements bit plane decomposition on the secret image and wavelet packet decomposition on the carrier image. ...

In this article, we investigate the application of wavelet packet transform as a novel spectrum sensing approach. The main attraction for wavelet packets is the tradeoffs they offer in terms of satisfying various performance metrics such as frequency resolution, variance of the estimated power spectral density (PSD) and complexity. The results of the experiments show that the wavelet based appr...

In this paper we present an overview of wavelet based multiresolution analyses. First, we brie y discuss the continuous wavelet transform in its simplest form. Then, we give the de nition of a multiresolution analysis and show how wavelets t into it. We take a closer look at orthogonal, biorthogonal and semiorthogonal wavelets. The fast wavelet transform, wavelets on an interval, multidimension...

| We describe a combined wavelet ze-rotree coding and packetization method that provides excellent image compression and graceful degradation against packet erasure. For example, using 53-byte packets (48-byte payload), the algorithm compresses the 512512 grayscale Lena image to 0.2 bpp with a PSNR of 32.2 dB with no packet erasure, and 26.3 dB on average for 10% packets erased.

We have used wavelets and wavelet packets to analyse, model and compute turbulent flows. The theory and open questions encountered in turbulence are presented. The wavelet-based techniques that we have developed to study turbulence are explained and the main results are summarized.