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频谱方差在语音信号端点检测中的应用，matlab程序，实用。(spectrum of the voice signal variance endpoint detection, the application procedures Matlab and practical.)

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graphic processing unit kit for matlab

利用M函数仿真扩频通信系统。6个用户的CDMA的同步通信系统，每个用户利用L＝31的Gold码，进行扩频，信道为AWGN信道，接收端利用匹配滤波器进行检测。绘出当N＝10000个发射比特下，SNR＝0：15（dB）时的误码率曲线。 (M function simulation using Spread Spectrum Communication System. 6 simultaneous users of CDMA communication system, each user of the L = 31 the use of Gold codes for spread spectrum, channel for the AWGN channel, the receiving end to detect the use of matched filter. Drawn when N = 10000 bits of transmission, SNR = 0:15 (dB) when the bit error rate curve.)

上传的m文件是采用MATLAb实现的数学曲线拟合(M file uploaded using MATLAB to achieve mathematical curve fitting)

四元数乘法、求逆、共轭、求范数函数，并附有求解矢量旋转坐标的程序例子(Quaternion multiplication, inverse, conjugate, seeking norm function, together with procedures for solving the example of vector rotating coordinate)

基于matlab的小电流接地系统单相故障分析，得到了系统对敌电压和线电压的波形图。(Matlab small current grounding system single-phase fault-based analysis, waveform diagram of system voltage and line voltage the enemy.)

说明：  车库调度和遗传算法的相关程序，初学的朋友可以来看看(Garage scheduling and genetic algorithm program, beginner friends can come and see)

共生矩阵是MATLAB实现，在cooccurrence里有实现方法(Co-occurrence matrix is the MATLAB implementation, there realization in the cooccurrence)

说明：  关于解微分方程的matlab小程序，适合本科生学习使用。(MATLAB in Physics is a four lecture series in MATLAB that is offered to first year physics undergraduate students. This lecture shows how to use MATLAB to simulate physical systems using a range of methods. Projectile motion is analysed using the Symbolic Math Toolbox, then more complicated chaotic systems are simulated using the MATLAB ODE solvers. Some advanced programming techniques such as Object Oriented Programming (OOP) and Graphical User Interface (GUI) programming are briefly covered. The aim of this lecture series is to introduce students to computational methods in MATLAB to solve problems arising in physics that cannot be solved analytically. No prior knowledge of MATLAB is required. Themes of data analysis, visualization, modelling and programming are explored throughout these lectures. )