Matlab_for_nonlinear_PDEs-0.0.6

simulink and matlab7

可自行设置参数产生SCM信道，支持MIMO等功能(can set your own parameter to create SCM channel,support MIMO an other function.)

简单的matlab程序 基本的输入 (Simple matlab program basic input)

这是关于现代信号处理的一些课件，主要讲述了有关离散序列的傅里叶变换等(This is about some of the courseware of modern signal processing, mainly tells about the discrete Fourier transform sequence)

在采样点之间的频率响应是由各采样点的加权内插函数叠加而形成的，因而有一定的逼近误差。该误差大小取决于理想频率响应的形状，理想频响特性变化越平缓，内插值越接近理想值，逼近误差越小；反之，如果采样点之间的理想频响特性变化越陡，则内插值与理想值之间的误差越大，因而在理想滤波器不连续点的两边，就会产生尖峰，而在通带和阻带就会产生波纹。用频率采样法设计的实际滤波器频率响应如图1所示。由图1可知，实际滤波器的阻带衰减取决于内插函数第一旁瓣幅度值的大小，其大小决定了所设计的滤波器的阻带性能。(Interpolation function superimposed between sampling points of the frequency response is weighted within each sampling point and the formation of, and thus have a certain degree of approximation error. The size of this error depends on the shape of the ideal frequency response and the ideal frequency response characteristic change is more gentle, interpolated and more close to the ideal value, the smaller the approximation errors Conversely, if the sampling point between the ideal frequency response characteristics of the steeper the change, and then the interpolated the larger the error between the ideal value, and thus in the ideal filter both sides of the discontinuity point, will produce spikes occurs ripple in the passband and stopband. Actual design frequency sampling filter frequency response is shown in Figure 1. Figure 1 shows, the actual filter stopband attenuation depending on the interpolation value of the size of the first side-lobe amplitude of the function that determin)

createimage函数实现当前零水平集（演化曲线）在原图上的显示和嵌入函数u的重新初始(Createimage functions implementing the current zero level set (curve evolution in the display on the original) and inline function u initial again )

随机状态子空间实验模态参数识别方法算法源程序(ssi modal identification)

它是基于均匀圆阵的波达方向估计MUSIC算法程序。(It is DOA estimation based on uniform circular arrays MUSIC algorithm)

现代信号检测与方法，主要分析正交频分复用信号检测与调制识别(signal detection)

考虑微分方程在如下步长分布采用向前Eular、向后Eular，梯形公式、改进Eular和四阶龙格库塔方法计算近似值(procedure of approximate error using matlab)