Automatic sound recognition (ASR) has attracted increased and wide ranging interests in
recent years. In this paper, we carry out a review of some important contributions in ASR …

When applying sparse representation techniques to images, the standard approach is to
independently compute the representations for a set of overlapping image patches. This …

Guided-wave (GW) approaches have shown potential in various initial laboratory
demonstrations as a solution to structural health monitoring (SHM) for damage prognosis …

The paper considers the task of recognizing environmental sounds for the understanding of
a scene or context surrounding an audio sensor. A variety of features have been proposed …

摘要为了准确刻画地震信号的局部层次结构, 实现高效率的三维地震资料瞬时谱分解,
检测油气储层的低频阴影, 构造了广义S 变换. 广义S 变换通过引入两个参数, 改造S …

We propose the audio inpainting framework that recovers portions of audio data distorted
due to impairments such as impulsive noise, clipping, and packet loss. In this framework, the …

A seismic trace may be decomposed into a series of wavelets that match their time-
frequency signature by using a matching pursuit algorithm, an iterative procedure of wavelet …

Interest in parameterized time-frequency analysis for non-stationary signal processing is
increasing steadily. An important advantage of such analysis is to provide highly …

Many algorithms have been proposed to find sparse representations over redundant
dictionaries or transforms. This paper gives an overview of these algorithms by classifying …

As a generalization of the classical Fourier transform (FT), the fractional Fourier transform
(FRFT) has proven to be a powerful tool for signal processing and analysis. However, it is …