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very uesful program about ofdm

run leength decoding

Side impact accidents against a tree or pole remainthe most dangerous accident scenarios in rally cars. Statistical data shows that 52 of the fatalities between 2004 and 2009 concern crashes against a rigid pole by the track sides, whilst among those more than 60 were side impacts. Despite the present scientific efforts, rallying cars side impacts are still among the least understood primarily due to limited space between the occupant and door sill, evolving safety regulations and vehicle dynamics.

压缩感知技术matlab代码例程，信号重建算法(compressive sensing)

虚拟力的无线传感网络覆盖，MIMO OFDM matlab仿真,实现了对10个数字音的识别程序欢迎大家下载学习，使用高阶累积量对MPSK信号进行调制识别，车牌识别定位程序的部分功能，相关分析过程的matlab方法。( Virtual power wireless sensor network coverage, MIMO OFDM matlab simulation, Realization of 10 digital audio recognition program Welcome to download the study, Using high-order cumulants of MPSK signal modulation recognition, Part of the license plate recognition locator feature, Correlation analysis process matlab method.)

一个强大的工具分析 寻找 逆转录(逆转录)跟随由聚合酶链反应，该程序定量分析信使核糖核酸。定量表达基因水平，特别是能为低级的丰富信使核糖核酸提供分析工具。(Reverse transcription(RT) followed by PCR is a powerful tool for the detection and quantification of mRNA. It is the most sensitive method for the detection and quantification of gene expression levels, in particular for low abundance mRNA. The relative quantification is based on the expression ratio of a target gene versus a reference gene. Some mathematical models have already been developed to calculate the relative expression ratios, with or without efficiency correction. Normally the PCR efficiency is set at 2 (the max possible value) for the reference and target gene, but a difference in PCR efficiency of 0.03 between the target and reference gene, the falsely calculated difference in expression ratio is 46 in case of Et<Er and 209 in the case of Et>Er. The difference will increase dramatically by higher efficiency differences: i.e. DE=0.05 (27 and 338 ) and DE=0.1 (7.2 and 1083 ) This function computes the efficiency of PCR reaction and is based on my function MYREGR)

说明：  盲源分离FastICA、matalab程序，(FAST KERNEL ICA | |--------------------| Version 1.0- February 2007 Copyright 2007 Stefanie Jegelka, Hao Shen, Arthur Gretton This package contains a Matlab implementation of the Fast Kernel ICA algorithm as described in [1]. Kernel ICA is based on minimizing a kernel measure of statistical independence, namely the Hilbert-Schmidt norm of the covariance operator in feature space (see [3]: this is called HSIC). Given an (n x m) matrix W of n samples from m mixed sources, the goal is to find a demixing matrix X such that the dependence between the estimated unmixed sources X *W is minimal. FastKICA uses an approximate Newton method to perfom this optimization. For more information on the algorithm, read [1], and for more information on HSIC, refer to [3]. The functions chol_gauss and amariD are taken from and based on, respectively, code from Francis Bach (available at http://cmm.ensmp.fr/~bach/kernel-ica/index.htm). The derivative is com)

The INFace (Illumination Normalization techniques for robust Face recognition) toolbox v2.0 is a collection of Matlab functions and scripts intended to help researchers working in the field of face recognition.

A Point on an Elliptic Curve in barycentric (or affine) coordinates.

说明：  matlab程序。模拟形状记忆合金的形状记忆效应。(Matlab program. To simulate the shape memory effect of shape-memory alloy.)