matlab

matlab初学者必备书籍资料，非常有用。我就是从这里入门的。快来分享吧~(help matlab study)

说明：  一种改进的时钟定时抖动估计方法An improved estimation of clock timing jitter(An improved estimation of clock timing jitter)

matlab实现的JPEG图像压缩程序 可成功运行(matlab implementation of JPEG image compression program which can be run successfully)

2ASK系统验证源码，包括二进制单机性不归零码的产生，功率谱密度的计算等(2ASK system verification, including unipolar NRZ binary source code generation, power spectral density calculation.)

说明：  详细介绍matlab中用来处理图像的工具箱以及工具箱的具体运用方法(Details matlab image processing toolbox used to the concrete application of methods and tool kit)

说明：  MIMO仿真所需的小程序，里面包括注水算法的子程序(MIMO simulation for a small program, which includes water injection method of subroutine)

说明：  Euler解常微分方程,Taylor解常微分方程,追赶法求解三对角方程(Euler solutions ordinary differential equations, differential equations solution Taylor, catching up with the method three pairs Kok equation)

2DPSK的链路仿真，信号源的产生，PCM编码，调制解调以及加燥 (2 dpsk link simulation signal source, PCM coding and modulation demodulation and dry)

几个粒子滤波的粒子。包括普通的粒子滤波和基于扩展卡尔曼滤波器的粒子滤波器源程序。(Several particle filter particles. Including ordinary particle filtering and extended Kalman filter-based particle filter source.)

独立成分分析（Independent Component Analysis, ICA）是近年来发展起来的一种有效的盲分离技术，最早是由法国学者Herault和Jutten于1986年提出。ICA方法的提出最初是用来解决“鸡尾酒会”问题，其过程可以归纳为，在源信号与传输通道参数均未知的情况下，仅根据源信号的统计特性，出现测信号恢复出源信号。ICA分析的关键在于根据一定的优化准则建立描述输出信号独立程度的优化判据，即目标函数，并设计相应的优化算法，寻求最优的分离矩阵，使得输出信号中各分量尽可能相互独立。采用ICA方法对信号进行盲分离时，可避免过多地受大能量噪声成分的影响，将部分小能量信号源识别出来。随着ICA技术的不断发展，目前ICA技术已经广泛应用于语音增强、音频识别、通信、医学信号处理、金融数据挖掘、图像消噪、数字水印、遥感等领域，并取得了一定的研究成果。(Independent Component Analysis (ICA) Component ini order, developed in recent years is a kind of effective separation technology, originally from French scholars Herault and Jutten in 1986. The proposed method is initially ICA to solve the "cocktail" problem, the process can be divided into, in the source signal transmission channels and in the case of unknown parameters according to the source of the signals, and the statistical characteristics of recovering the source signal. According to the analysis of the ICA key lies in the establishment of optimal criteria described the output signal of the independent, objective function optimization criterion, and the corresponding optimization algorithm, the optimum )