AC_DC

数字细化完整代码，分模块细化，可用于数字识别(License plate number of refinement code)

viterbi算法的matlab实现，主要用于数字通信中接收端的译码(viterbi)

用于同时观察信号在时域和频域中的变化以及信号中的不同频率成分随时间的变化(For the simultaneous observation of different frequency components in the time domain and the signal spectrum of the signal changes over time)

用于圆形金属波导模式求解，得到特征方程的根，可设定误差范围。(Circular metal waveguide model for solving the characteristic equation has been the root of error range can be set.)

draws and plot acircle

用matlab分析瑞利信道、莱斯信道以及高斯信道的性能优劣。(Using matlab to analyze the performance merits of the Rayleigh channel, Rice channel and channel Gaussian.)

computes inter frame differenc of log likelihood of calimed speaker s GMM.

此包中装有数字喷泉码之一LT码基于鲁棒孤波分布的编译码及测试文件。(This package is equipped with one digital fountain code encoding and decoding LT code and test files based on robust solitary wave distribution.)

主动声纳恒虚警检测，包括常见的几种恒虚警检测以及相应的融合检测(Active sonar constant false alarm detection, including several kinds of common constant false alarm detection and the corresponding integration testing)

说明：  .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.)