Kalmtool

多点目标 单站SAR的回波信号仿真以及BP后向投影成像 参数见合成孔径雷达成像——算法与实现一书表6.1 运行结果正确，注释比较详细(Percent more single station SAR point target echo signal simulation and backward projection imaging BP parameters, see synthetic aperture radar imaging- algorithm and implementation of a book Table 6.1 run result is correct, more detailed notes)

curvelet变换最新工具包，含有快速离散曲波变换的所有形式（包括基于usfft和wrapping和3dfdct）。功能强大，是学习曲波变换的好帮手。(curvelet transform the latest kit, containing the fast discrete curvelet transform all forms (including those based on usfft and wrapping and 3dfdct). Powerful learning curvelet transform is a good helper.)

实现盲源信号的分离，在一个信号源中提取出有用的信号。(Blind source signal separation, in a signal source to extract useful signals.)

说明：  基于dct系数的数字水印算法实现，在matlab环境中实现(coefficient based on digital watermarking algorithm in Matlab environment to achieve)

本程序应用小波变换进行电力系统的在线监测。电力系统在线监测中的检测信号含有大量的背景噪声，不便于检测。应用小波变换解决这一问题。程序中应用db3小波对信号进行5层分解，并得出了各层的细节信号与逼近信号。(This procedure based on wavelet transform power-line monitoring system. Online monitoring of power system test signal contains a lot of background noise, not easy to detect. Application of wavelet transform to resolve this problem. Application procedures for db3 wavelet signal decomposition layer 5, and arrive at different levels of detail signal and approximation signal.)

表面肌电信号的小波包局部能量分解柱状图，提取特征能量(Local energy of the surface EMG wavelet packet decomposition histogram feature extraction energy)

虚拟示波器，用VC＋＋语言编写，界面简洁，使用方便，供大家学习参考。(VC virtual oscilloscope)

基于matlab的小波变换程序，可以方便的进行信号的小波分析。经过验证，可以使用。这里使用的是morlet小波。主要是处理地震数据。(Matlab-based wavelet transform process, you can easily carry out the wavelet analysis of signals. After verification, you can use. Here use morlet wavelet. Processing seismic data.)

说明：  基于小波包分解的脑电信号特征提取.格式是caj后缀的，大家看的时候可能得有CAJViewer 这个软件(Based on wavelet packet decomposition of the EEG feature extraction. CAJ suffix format is, we see there may be a time when the software CAJViewer)

实现连续小波变换，对信号进行频谱分析。精度很高(continuous wavelet transform)