MR

边缘是图像最基本的特征，是图像分割的第一步。经典的边缘检测方法如：Roberts，Sobel，Prewitt，Kirsch，Laplace等方法，基本都是对原始图像中象素的小邻域构造边缘检测算子，进行一阶微分或二阶微分运算，求得梯度最大值或二阶导数的过零点，最后选取适当的阀值提取边界。由于这些算法涉及梯度的运算，因此均存在对噪声敏感、计算量大等缺点。在实践中，发现SUSAN算法只基于对周边象素的灰度比较，完全不涉及梯度的运算，因此其抗噪声能力很强，运算量也比较小。并将SUSAN算法用于多类图像的边缘检测中，实验证明该算法非常适合含噪图像的边缘检测。 2 SUSAN边缘检测简介 (err)

• Plot the noisy speech signal both in time-domain and frequency-domain. • 进行含噪语音信号的时频分析 • Design a proper filter to remove noise from the speech signal. • 设计合适滤波器进行去噪 • Plot the clean signal both in time-domain and frequency-domain. • 进行去噪后信号的时频分析 • Design a Reverberator using 4 Comb filters and 2 All-pass filters, as shown in the following Figure, to generate reverberated and reflected sound with the capability of passing it through an equalizer. • 设计一个混响器（用四个梳状滤波器和两个全通滤波器（下图所示））来产生回声（通过一个均衡器（用于调整频率的补偿和衰减））

说明：  现代信号处理中高阶统计量——计算三阶累积量的程序(Modern signal processing in higher-order statistics- calculate third-order cumulants of the process)

Hard Iterative Thresholding Sparse Signal Reconstruction for Compressive Sensing L0-norm Minimization

ofdm transmission for awgn and rayleigh channels

Switching-mode DC-DC buck converters

calculation satellite GDOP

matlab Engine与RTW的实验编程，通过C++实现方法来实现(MATLAB Engine with RTW experimental programming, to achieve through C++ method)

求积分的matlab源程序,该程序的执行效率比较高，并且简单。(Quadrature matlab source, the efficiency of the program is relatively high, and simple.)

matlab 自动生成各种随机数的命令，希望对大家有所帮助(hehe ，it is very useful to us.I hope it can give everyone a help.)