chapter-14-GA-algorithm

说明：  fm调制程序，自己手写，效果较好，易于实现，速度较快(fm modulation procedures, their own handwriting, better, easy to implement, faster)

这是遗传算法工具箱，里面现成的函数。嵌入matlab中即可(This is a function of the genetic algorithm toolbox, which off-the-shelf. Embedded matlab can)

Omron plc modbus protocol macro for SCU communication cards

很好很强大 (GOOD)

小波变换(Wavelet)实现数字零水印源代码(Simple wavelet transform (Wavelet) digital Watermarking source code)

说明：  通信中多径信道模型的matlab源代码，用于无线移动信道建模(Multipath_channel model source code, used in wireless mobile channel modeling.)

功能列表= mmwrite（文件名，选择... ...） mmwrite是能写的AVI，WMV，的WMA，ASF文件。对于AVI文件，您可以选择从现有的编解码器压缩的音频和视频流。 对于WMV，WMA和ASF的编码默认为16位的Windows Media 9率为44100Hz立体声为98％质量的音频和Windows媒体视频9 98 质量。质量可以指定音频和视频。 环绕声，似乎只与AVI和多通道编码不支持。编写任何其他文件类型不支持。本使用Windows的DirectX基础设施，以便其他操作系统是出于运气。 输入：     文件名：这一定是第一个参数，并指定文件名写。     影片结构：视频结构相匹配的mmread输出。在最低限度，必须有4个领域的“框架”，“时代”，“高度”和“宽度”。该“框架”字段必须是一个结构与一个字段数组“的CDATA”的原始框架，它包含由彩色编码的数据宽度高度（3）UINT8s。钍(function list = mmwrite(filename,...options...) mmwrite is able to write AVI,WMV,WMA,ASF files. For AVI files you can choose from the available codecs to compress the audio and video streams. For WMV,WMA and ASF the encoding defaults to Windows Media 9 44100Hz 16bit stereo 98 quality for the audio and Windows Media 9 Video with 98 quality. The quality can be specified for both audio and video. Surround sound only seems to work with AVI and multi-pass encoding is not supported. Writing any other file type is not supported. This uses Windows DirectX infrastructure, so other OSs are out of luck. INPUT: filename: This must be the first parameter and specifies the filename to write. video structure: The video structure matches the output of mmread. At a minimum it must have 4 fields "frames", "times", "height" and "width". The "frames" field must be a struct array with a field "cdata" that contains the raw frame data encoded as height by width by color(3) as UINT8s. Th)

抑制饱和PID控制器，已经进行了改进。可以将其改进为PI调节器(Inhibition of saturated PID controller has been improved. Can be improved for the PI regulator)

本程序是利用调节参数的方法实现了曲线的局部变化，充分体现了多参数的优越性，通过参数调节实现曲线的局部变化(This procedure is the use of adjustable parameters of the partial realization of the curve changes, fully embodies the advantages of multi-parameter, parameter adjustment achieved through changes in the local curve)

The zip file contains several matlab files. These files implement the optimal vlassifier (optimal_classifier.m), a sub-optimal classifier (SOS_STBC_Classifier.m) which is based on Second Order Statistic and a low-complexity sub optimal code-parameter classifier (CP_Classifier.m). See reference [1] for the theoretical background. Example: To create the fig 3,4 and 5 of the paper, call the routine: Blind_recognition_STBC2_simulation_results(512,4, PSK ,4) Reference: [1] V. Choqueuse, M. Marazin, L. Collin, K. Yao and G. Burel "Blind recognition of STBC: A Likelihood-based Approach", IEEE Transactions on Signal Processing (IF: 2.33), vol. 58(3), pp : 1290-1299, March 2010.