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包括MATLAB7.0实用指南（1）书中所有的例子的源代码。(Including MATLAB7.0 Practical Guide (1) all of the examples of the book s source code.)

说明：  GUI matlab 数字滤波器图形化设计 包含使用说明和设计报告、ppt(GUI matlab digital filter design graphic design report contains usage instructions and, ppt)

基于matlab做的三维射线追踪的源代码。供大家交流之用。(based on Matlab do 3D ray tracing the source code. For exchange purposes.)

图象分割算法，这是 active contours分割中外力的选择，通常算法为基于梯度，但对于梯度不清楚的图像，可以采用此方法(image segmentation algorithm, which is active segmentation external contours of choice, usually based on the gradient algorithm, but the gradient was not clear images, we can use this method)

基于matlab 的fsk传输系统的仿真程序 包括性能分析,误差计算等(The fsk transmission system based on matlab simulation program, including performance analysis, error calculation)

计算成组滑动的滑窗检测器的最佳门限已知: 击中数N = 128, 组宽n = 8，PF = 10¡ 6，PD = 90 假设以下条件: (a) 信号不起伏 (b) 忽略天线波束调制 1 (c) 计算PD时忽略目标区以外噪声的影响 组门限(第二门限)为K=8 滑窗的门限(第三门限)为L=16 (滑窗中包含的组数为16) 求解: 最佳的KOPT 和LOPT，对这题做了具体仿真实现。需要的朋友，一定知道很有用。(Optimal threshold calculated as group slidable window detector is known: hit number N = 128, the group width n = 8, PF = 106, PD = 90 assuming the following conditions: (a) signal is not undulation ( b) ignore the antenna beam modulation 1 (c) the calculation of PD ignored outside the target area noise of impact group door limit (the second door limit) for K = 8 sliding window of the door limit (third door limit) for L = 16 (sliding window contains group 16) to solve: the best of the KOPT the LOPT, these questions do specific simulation to achieve. A friend in need, we must know to be useful.)

sar图像去噪的几种新的方法，通过反复训练模板能有较高的识别率，快速扩展随机生成树算法。( Several new methods sar image denoising, Through repeated training XyjPRvRlate have higher recognition rate, Rapid expansion of random spanning tree algorithm.)

BPSK 数字调制与解调 运行环境 matlab simulink(BPSK Digital Modulations and demodulations in SIMULINK. )

MATLAB优化工具箱的，有效解决线性规划、非线性规划、整数规划的有效工具(Optimal toolbox of matlab)

使用小波包变换分析信号的MATLAB程序(Simulation of a simple short-circuit voltage sag signal, find the modulus maxima of wavelet coefficients...)