A new adaptive speech enhancement system, which utilizes a second-generation wavelet transform (SGWT) decomposition and a novel adaptive subband thresholding technique, is presented. The adaptive thresholding technique is based on accurate estimation of subband segmental signal-to-noise ratio (SegSNR) and voiced/unvoiced classification of the speech. First, the speech signal is segmented and ea...

In analyzing a signal, especially a non-stationary signal, it is often necessary the desired signal to be segmented into small epochs. Segmentation can be performed by splitting the signal at time instances where signal amplitude or frequency change. In this paper, the signal is initially decomposed into signals with different frequency bands using wavelet transform. Then, fractal dimension of ...

Unsupervised deep learning has recently demonstrated the promise to produce high-quality samples. While it tremendous potential promote image colorization task, performance is limited owing high-dimension of data manifold and model capability. This study presents a novel scheme that exploiting score-based generative in wavelet domain address issue. By taking advantage multi-scale multi-channel ...

Shape matching or recognition is computation intensity work in shape analysis. Paper [3] proposed an efficient shape matching method using shape contexts (SC). In this project, wavelet transform is used to scale or compress images into much smaller sizes and then shape context algorithm is used to match shapes. Simulation results show that the matching speed is faster and matching results are m...

We describe a new image coding approach in which a 4-ary arithmetic coder is used to represent signiicant coeecient values and the lengths of zero runs between coeecients. This algorithm works by raster scanning within subbands, and therefore involves much lower addressing complexity than other algorithms such as zerotree coding that require the creation and maintenance of lists of dependencies...

A wavelet-based lossy-to-lossless image compression technique with polygon-shaped ROI function is proposed. Firstly, split and mergence algorithms are proposed to separate concave ROIs into smaller convex ROIs. Secondly, row-order scan and an adaptive arithmetic coding are used to encode the pixels in ROIs. Thirdly, a lifting integer wavelet transform is used to decompose the original image in ...