In this paper, we present denoising algorithm using wavelet packet transform based on VAD(Voice Activity Detection). For the purpose, the weighting parameter estimation method based on speech dominant indicator and the modified Berouti’s method are suggested. Subjective evaluation shows that the performance of the proposed algorithm with wavelet bases is better than that with Fourier basis.

This project presents an adaptive blind wavelet-based watermarking scheme using tree mutual differences (ABW-TMD). This watermarking scheme was innovated for image in wireless sensor network. by using Discrete Wavelet Transform (DWT) to hide watermark in frequency domain. The ABW-TMD scheme proves its robust in wireless sensor network, specially according to packet loss ratio parameter

Typical parameterization schemes utilize linear prediction or melscaled filter-banks, which are classic windowed DFT based methods. In this paper a new optimized adaptive wavelet parameterization scheme is presented. A novel extension of the Best Basis algorithm is used on wavelet-packet cosine transform (WPCT) instead of typical filter bank. Obtained features are tested using Polish language H...

This paper presents Mean Best Basis algorithm, an extension of the well known Best Basis Wickerhouser’s method, for an adaptive wavelet decomposition of variable-length signals. A novel approach is used to obtain a decomposition tree of the wavelet-packet cosine hybrid transform for speech signal feature extraction. Obtained features are tested using the Polish language hidden Markov model phon...

applications. Speech is a fundamental means of human communication. After over thirty years of research throughout the world, no perfect solution exists to this problem. The objective of our work is to implement a novel speech enhancement algorithm, which offers superior noise reduction over current methods. All speech enhancement systems suffer from distortion or residual noise due to imperfec...

The flexion relaxation phenomenon (FRP) can be defined as a reduction or silence of myoelectric activity of the lumbar erector spinae muscle during full trunk flexion. It is typically absent in patients with chronic low back pain (LBP). Before any broad clinical utilization of this neuromuscular response can be made, effective, standardized, and accurate methods of identifying FRP limits are ne...

An accurate and computationally efficient means of classifying surface myoelectric signal patterns has been the subject of considerable research effort in recent years. Effective feature extraction is crucial to reliable classification and, in the quest to improve the accuracy of transient myoelectric signal pattern classification, an ensemble of time-frequency based representations are propose...