新建压缩(zipped)文件夹

现代信号处理最后一次大作业，模糊函数的实现并画出3D图(The last time a large modern signal processing operations, the realization of the ambiguity function and draw 3D map)

.附件结构: gatbx.rar: (1)gatbx-origin.zip; (2)gatbx-toolbox.rar; (3)gatbx-example.rar 2.调试所用Matlab版本是6.5，gatbx-toolbox是调试过程中使用的工具箱，有些热心的研友已经提供了该工具箱，之所以再贴一遍，是因为6.5版本下调试该工具箱会出现一些错误提示，在该版本中已经进行了改正，使用该工具箱只需要将压缩包下的gatbx和gatbxTest_fns加入到Matlab搜索路径即可，另外gatbx-origin是Sheffield大学提供的原始版本的工具箱，未做任何改动，两者可做比较之用 3.gatbx-example是算例调试源码和各算例的调试说明，大家可以对照原书进行比较 4.窃以为gatbx工具箱较之Matlab7新版下的gads工具箱更能让人熟悉和了解遗传算法的原理和计算过程，虽然在可视化方面不及gads 5.学习遗传算法如果首先用熟相关工具箱的话，能够先培养信心，然后更有兴趣去专研和了解具体的算法，如果就用现有的工具箱就能解决问题的话，不了解其详细的算法也未尝不可，毕竟不是每个研友都能向see_moonlight那样开发自己的工具箱吧,(Annex structure: gatbx.rar: (1) gatbx-origin.zip; (2) gatbx-toolbox.rar; (3) gatbx-Test_fns under the compression package need to be added to Mat. The lab search path can be done, and gatbx-origin is the original version of the toolbox provided by Sheffield University, without any changes, which can be used for comparison. 3. Gatbx-example is the source code of example debugging and the debugging instructions of each example. You can compare it with the original book. 4. It is assumed that the gatbx toolbox is better than the gads toolbox in the new version of MATLAB 7 in familiarizing and understanding the principle and calculation process of genetic algorithm, although it is less visualized than gads.)

matlab实现数字调制ASK FSK PSK(matlab digital modulation ASK FSK PSK)

说明：  用matlab实现SVM，并与BP神经网络进行对比(Implement SVM, with matlab and compare it with BP neural network)

用于解决二次规划问题。是《精于matlab最优化计算》一书中的源代码，希望有用。(Quadratic programming)

inverter simulation with lead acid battery communication blocks are used

可以对探底雷达信号进行认为加噪处理，在通过emd方法去噪处理并画wigb(Think that adding noise can dip radar signal processing, emd method denoising processing and painting wigb the)

matlab图像处理实例详解chap10——图像压缩编码(matlab image processing examples explain chap10- Image Coding)

粒子滤波预测电池寿命，并且以不确定性概率输出结果。(Particle Filter estimated battery life, and with the uncertainty probability output.)

说明：  该程序是基于QR分解的V-BLAST检测算法,两种算法，包括QR分解算法和SQRD算法。(The program is based on QR decomposition V-BLAST detection algorithm, two algorithms, including QR decomposition algorithm and SQRD algorithm.)