motionEstCDS

THIS IS A KOHENEN NEURAL NET TO RECOGNIZE CHARCTERS , TRAIN AND TEST PROGRAMS IN A SIMPLE WAY

张量分解提取生物学特征，NFEA: Tensor Toolbox for Feature Extraction and Applications( Data in modern applications such as BCI based on EEG signals often contain multi-modes due to mechanism of data recording, e.g. signals recorded by multiple-sensors (electrodes), in multiple trials, epochs, for multiple subjects and with different tasks, conditions. Moreover, during processing and analysis, dimensionality of the data could be augmented due to expression of the data into sparse domain (time-frequency representation) by different transforms such as STFT, wavelets. That means data itself is naturally a tensor, and has multilinear structures. Standard approaches which analyze such data by considering them as vectors or matrices might be not suitable due to risk of losing the covariance information among various modes. To discover hidden multilinear structures, features within the data, the analysis tools should reflect the multi-dimensional structure of the data)

关于Matlab中的数值实验--微积分的源代码(Calculus program code)

说明：  一种快速有效、性能可靠的信号重构算法是压缩感知理论的核心部分，对于 这部分内容，许多卓有成效的研究工作正在陆续展开。从压缩感知理论提出至今， 已经出现了多种稀疏信号的重构算法。重构算法主要可以归结为三大类：贪婪算 法，凸松弛算法和组合算法。这里主要是SP算法(A fast and efficient, reliable signal reconstruction algorithm is the core of compressed sensing theory, for this part, much fruitful research work is carried out successively. From the compressed sensing theory so far, there have been many sparse signal reconstruction algorithm. Reconstruction algorithm can be summarized into three main categories: the greedy algorithm, convex relaxation algorithms and combinatorial algorithms. This algorithm is mainly SP)

降低OFDM的PAPR的优化算法的研究以及MATLAB 仿真(Algorithm Simulation for the PAPR reduction of OFDM )

matlab冈萨雷斯答案： 里面是最全的答案，所有习题都有(Gonzalez matlab answer: it is the whole answer, all exercises are)

robocup 2d 仿真足球base代码(the robocup 2d simulation Soccer base code)

the document i am uploading is a file of the science direect and my package ia about communication

汽车牌照识别中车牌定位问题。车牌定位分为两步进行，首先对车牌进行初定位，对初定位后的车牌图像进行二值化、几何矫正，然后再精确定位车牌区域。同时，在matlab环境下仿真了汽车牌照识别，仿真结果表明，本文算法能很好的识别汽车牌照。(The problem of car license plate location. License plate location is divided into two steps, first at the beginning of vehicle license plate location, license plate on the positioning of the image at the beginning of two, the value of geometric correction, and then the accurate location of the license plate area. At the same time, in the MATLAB simulation environment of the vehicle license plate recognition, the simulation results show that, this algorithm can be a very good car license plate recognition.)

关于线性方程组迭代法的源代码，matlab编写的，值得收藏，欢迎大家踊跃下载，为中国的科研事业做贡献(Linear equations about the source code of iteration method, matlab prepared and worthy of collection, enthusiastically welcomed the U.S. download, in order to make China' s contribution to the cause of scientific research)