shuzhi

基于CIODs的空时分组码编译码过程，及误比特率曲线的仿真(Based CIODs of space time block code encoding and decoding process, and simulation of bit error rate curve)

语音、图像等相关处理，如加躁去噪，频谱、幅度图，二值灰度图等(Voice plus noise denoising, image plus noise denoising, and image reversal, two values ​ ​ of other treatment)

Model Predictive Control code using Matlab software: How Plants Are Used In Model Predictive Control. Blocking and typical Sampling Instant. Prediction and Control Horizons.

数据的统计描述与分析的matlab实现()

说明：  本书旨在指导学生掌握数学建模的思想和方法，包括离散建模和连续建模，是外文的翻译版。(This book aims to guide students to master the ideas and methods of mathematical modeling, including modeling of discrete and continuous modeling, is a foreign language translations.)

matlab时频分析源代码 很好很强大。希望对您有用(matlab source code for a good time-frequency analysis is very powerful. Hope useful to you)

Matlab allows the use of MEX files –MEX files are pre-compiled files that are called from Matlab –Can be compiled from Matlab .m files –Can also be compiled from external C++ code. • This will be our focus

说明：  用对偶法（underlying_dw），给定2M条样本轨道，给出一个欧式看涨期权的价格(With the dual method, sample path of a given article 2M, given the price of a European call option)

扩频接收机设计实例 matlab语言，做扩频的有很大参考价值。欢迎下载(spread spectrum receiver design examples Matlab language, so spreading the great reference value. Welcome to download)

he files in this package comprise the Matlab implementation of a foreground segmentation algorithm based upon graph cuts, described in: Better Foreground Segmentation Through Graph Cuts, N. Howe & A. Deschamps. Tech report, http://arxiv.org/abs/cs.CV/0401017. The file extractForeground.m contains a sample function that will perform a complete foreground segmentation for static camera video. It uses a number of parameters, which are described in the documentation. An attempt was made to choose sensible default values, but they may need to be adjusted for some videos. More generally, the implementation in extractForeground.m is only a suggestion of how the graph-based segmentation might be used. The same approach can be applied with other (perhaps time-adaptive) background models. The key step is at line 113 of the code, once the deviation array has been created. The graph-cut segmentation can be applied similarly to a deviation matrix computed in any other way.