Remez

用边缘检测的方法进行参数估计，取得了较好的效果，证明是有效的方法(Edge detection method with parameter estimation, to obtain good results, proved to be an effective way to)

语音文件中有单频噪声，设计高频滤波器和低频滤波器进行语音滤波(Audio files with a single frequency noise, high frequency filters and low-frequency filter design for voice filtering)

vt8500 update software tool user guide

说明：  matlab信道模型，用于模拟OFDM系统对ISI的改善。(Matlab channel model to simulate OFDM system to improve the ISI.)

Fast Visibility Restoration from a single Color or Gray level Image source code

robot wandering simulation using matlab on two different maps

Reflectance Spectrum Computation of 1D Photonic Crystals matlab code

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.)

说明：  画麦克风阵列的极坐标图，需要输入角度范围，增益，增益范围等参数(painting microphone array of polar map, the need to import perspective, gain and range parameters)

数据分析以及数据回归，优化运行以及基本算例。(data analysis)