qangning_v77

MATLAB初级图形演示系统，用于进行十进制和十六进制的转换(MATLAB junior graphic presentation systems used for decimal and hexadecimal conversion)

developing measurements analysing matlab

AHP层次分析法源代码，最大程度简化您的计算量(AHP Analytic Hierarchy Process source code, the maximum extent simplify your calculations the amount of)

基于三线性分解/平行因子分解的MIMO雷达参数估计(Trilinear decomposition/PARAFAC decomposition-based Angle estimation algorithm)

Digital signal processing, this script implements the Pan Tompkins method for QRS detection

matlab ı ı r code for pic application

一个关于海杂波仿真，程序用burg法来估计功率谱密度，同时也画出了理论功率谱密度。(About sea clutter simulation procedures used burg method to estimate the power spectral density, but also to draw the theoretical power spectral density.)

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 )

fft变换举例，实例分析MATLAB 中的FFT变换的使用方法，清晰明了。(fft transform example)

《MATLAB智能算法30个案例》分析源代码(" MATLAB intelligent algorithm 30 case" analyze the source code)