RAKE_receiver_for_DS-SS_systems_-_rev1.0

个人编写的提取音频信号的时域特征参数短时平均过零率及短时平均能量的matlab源程序。供大家参考(Extraction of individual preparation of the audio signal in time domain characteristic parameters of short-term average of zero-crossing rate and short-time average energy of the matlab source. For your reference)

说明：  matlab 图像处理教程，对于matlab入门者很有用(matlab photo)

一种能够用于将netCDF文件从GC-MS LC-MS输入到matlab中的工具箱(a freeware function to import netCDF files from GC-MS, LC-MS etc. software in MATLAB)

matlab基于ActiveX技术实现对PPT的自动生成程序，这是按照已定型的模板写的，包含图片、文本、表格、图形等基本的PPT元素的自动生成与属性设置。(matlab based on ActiveX technology to automatically generate the PPT program, which is written in accordance with the template has been finalized, including images, automatically generate and property of the text, tables, graphics and other basic elements of PPT.)

说明：  基于模拟退火的粒子群算法，基于自然选择的粒子群算法，基于杂交的粒子群算法(Based on simulated annealing particle swarm algorithm, based on natural selection, particle swarm optimization, particle swarm optimization based on hybrid)

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 )

对单自由度结构在无控与采用TMD和ATMD控制策略下的加速度和位移反应进行了对比，对比结果以图形方式显示。(The single degree of freedom structure s acceleration and displacement reaction are compared between with on control and using TMD and ATMD control strategy,the contrast results are displayed by using graph.)

stm32 matlab 联合开发，利用simulink模块对stm32进行快速开发！

matlab的详细说明，及叙述的方法及类别。简单语句的详细说明。(Matlab the detailed descriptions, and describes the methods and categories. Simple statement of detail.)

Processor Namespace Alias extends X S L T Element Processor Source Code for Andriod.