fig3_MSOM

英文版，MATLAB，主要解决数学应用方面的问题，数学系同学的必备资料(English, MATLAB, mainly to solve mathematical application problems, the essential information Mathematics students)

An Evolutionary Routing Protocol for Dynamic Clustering of Wireless Sensor Networks

气象图matlab程序运行，非常实用，简单 。有需要的可以 拿过 去 ！(very easy)

Single machine infinit bus simulation through PID controller

根据应力功率谱密度 按照TB方法计算结构疲劳寿命和疲劳损伤，有较高精度字变成，科学计算程序(fatigue damage)

guidelines for planning phase in project management

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)

一维时间序列分行维数，利用计盒法计算得到的分形维数，希望对大家有所帮助！(Branch of one-dimensional time series dimension, using box method calculated the fractal dimension, and they hope to be helpful to everyone!)

helps in maximal ratio combining,equal gain combining,snr improvement,select diversity

用matlab解决无约束优化问题，与精通matlab第七章配套(Using matlab to solve unconstrained optimization problems)