PV

用MATLAB实现动态系统的求导与积分函数(MATLAB diff and int)

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)

dtc for 3phases induction motor

香农定理以及它在Matlab软件中的实现例程(Shannon coding and its MATLAB implementation)

分层空时码V-blast程序，有需要的可以看看啊，感觉不错(the souce for vblast stc)

能实现一般空时分组码性能仿真，给出系统误码率分析(To achieve the general space-time block code performance simulation, presented the BER analysis)

matlab数字音频处理，适合初学者开发使用，具有实际应用的例子，非常具有参考价值。(Matlab digital audio processing, suitable for beginners to use, with practical examples, very useful.)

此为《MATLABR2008数字图像处理》的开源代码，希望大家共同提高。(This is MATLABR2008 digital image processing, the source code, I hope everyone together.)

《MATLAB 7.0编程基础基础》源程序 第4章(Chapter 4 of the " MATLAB 7.0 programming foundation foundation source)

本程序以matlab为基础针对飞行目标的预测来建模的编程(This procedure to matlab-based objectives for the flight to prediction modeling programming)