genRayleighFading

基非下采样的Contourlet变换的图像融合，要放到NSCT工具包中执行(Under the base of non-sampling Contourlet transform image fusion, to put the implementation of the toolkit NSCT)

cstering in mtlb.to cstetring in

bpsk in Rayleigh fading

说明：  简单的小波包分解和重构单路信号，包括求小波的能量熵(Wavelet Packet Analysis)

说明：  mpsk的源代码 里面是一个txt文档下载后可以再matlab程序上直接运行(MPSK inside the source code is a txt file download matlab program can be run directly)

说明：  包括灰度AGV路径识别，彩色AGV路径识别，HSI彩色空间的AGV路径识别，：路径中心线的定位，Radon变换的AGV路径偏差检测(AGV path identification, including gray, color AGV path identification, HSI color space AGV path identification,: path centerline position, Radon transform of the AGV path deviation detection)

本教程包含以下内容： SIMULINK简介（包括各个模块的介绍） SIMULINK功能模块的处理 SIMULINK线的处理 SIMULINK自定义功能模块 SIMULINK仿真的运行 SIMULINK s-function的设计 SIMULINK 仿真举例 (The Guide contains the following elements : Simulation profiles (including all modules) on SIMULINK functional modules handling Informations LINK line treatment SIMULINK-defined functional modules SIMULINK operation Informations LINK's-function design for SIMULINK)

压缩包包含使用matlab求解优化问题，其中包含多个实验和ppt讲解,希望对各位有所帮助。(Compressed package includes solving optimization problems using matlab, which contains multiple experiments and ppt to explain, you want to help.)

考虑L的三个不同值：L＝256（3个数据段），L＝128(7个数据段)和L=64（15个数据段）。各自的谱估计图如上图所示。可以明显的看到，加窗明显的减小了频谱上的假谱峰，但也更加进一步平滑了谱峰。所以，对于L＝64的情况，在ω＝0.8π的谱线可以很确定的辨认，但是那两个靠近的谱峰不容易区分。对于L＝128的情况，这种情况提供了在分离和检测间最好的均衡。当然，对于在L＝256时的情况，效果是更好的，能够从谱估计图上明显的分辨出三条谱线的存在以及它们幅度关系的强弱。 除了Welch法外，还可以采用对多个周期图求平均的功率谱估计方法的其他方法如Bartlett法等等，在功率谱估计上也能取得较好的结果。(consider three different values : L = 256 (3 data), L = 128 (7 data) and L = 64 (15 data). Their spectral estimation map as shown in Fig. It is clear to see that increase significantly decreasing window of the spectrum of false peaks, but much more to further smooth the peaks. Therefore, L = 64, in the case = 0.8 spectrum can determine the identification, but that the two peaks around is not easy to distinguish. L = 128 for the situation, which provided the separation and detection among the best balanced. Of course, L = 256 in the case, the effect is better, from the spectral estimation map clearly distinguish between the three lines of the existence and their relationship to the rate of strength. In addition to Welch law, but also can be used to map multiple cycle for the average power)

卡尔曼滤波算法的实现，放在matlab中运行即可得出仿真波形。(kalman filter algorithm implementation)