LDAjiaocheng

an ideal lowpass filter

matlab book good one

DIGITAL IMAGE WATER MARKING USING DCT

Compressive sampling is an emerging technique that promises to effectively recover a sparse signal from far fewer measurements than its dimension. The compressive sampling theory assures almost an exact recovery of a sparse signal if the signal is sensed randomly where the number of the measurements taken is proportional to the sparsity level and a log factor of the signal dimension. Encouraged by this emerging technique, this thesis briefly reviews the application of Compressive sampling in speech processing. It comprises the basic study of two necessary condition of compressive sensing theory: sparsity and incoherence. In this thesis, various sparsity domain and sensing matrix for speech signal and different pairs that satisfy incoherence condition has been compiled.

实现MMC的三相闭环控制和尖锐脉冲去除源代码(Realization of three-phase closed-loop control of MMC and source code removal of sharp pulse)

基于支持向量聚类的多聚焦图像融合算法∗ Exploiting SVC Algorithm for Multifocus Image Fusion(Based on support vector clustering algorithm for multi-focus image fusion )

在matlab环境中运用hsv空间对空间中的各种参数进行提取，并修改分量(Hsv space to extract the various parameters of space use in the Matlab environment, and modify the component)

使用matlab绘制带有数字标示的等高线(Use matlab draw contour lines marked with numbers)

一篇关于Insar相位展开的文章，对面分析和各种经典算法和最前沿的算法比较(An article on the Insar phase of the article, the opposite analysis and a variety of classical algorithms and the most cutting-edge algorithm)

利用MATLAB实现fft的MATLAB代码以及解释和仿真结果(Fft in MATLAB using MATLAB code as well as the realization of the interpretation and simulation results)