matlab111

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)

一个基于dsp的语音降噪算法 (noise reduce)

经过验证的基于奇排列的多相滤波matlab源代码(Validated based on polyphase filtering of the arrangement of the matlab source code)

对二维结构进行拓扑优化，基于变密度法的二维mbb梁的结构拓扑优化，迭代采用优化准则法，数值不稳定采用灵敏度过滤法。(Two-dimensional structure topology optimization, based on the variable density method of two-dimensional the MBB beam structure topology optimization, iterative optimization criteria, the numerical instability sensitivity filtration.)

单个的MIMI-OFDM系统的MATLAB的仿真，有英文注释(Single MIMI-OFDM system MATLAB simulation, with English notes)

transfer function of a system

it is matlab dsp programme to find signal overlap

dct变换的MATLAB实现，供大家学者参考(dct transform MATLAB realization of reference for all scholars)

模糊聚类的marlab源码程序，大家可以看看，应该会有帮助的(Fuzzy Clustering marlab source programs, we can see, should be helpful)

2013年“高社杯”数学建模b题，对于纵向切割的图片复原。 使用方法：打开matlab，调整工作目录为解压后的文件夹，在matlab工作框中输入Problem1即可(2013 " High Society Cup" Mathematical modeling b title picture for longitudinal cutting recovery. How to use: open matlab, adjust working directory is unpacked folder work in matlab can enter Problem1)