yansheguangshan

讲述偏最小二程结合遗传算法的实现过程，利用MatLab语言编程实现(Two-way on the unbiased minimum genetic algorithm combined with the implementation process, the use of MatLab programming language implementation)

该代码是粒子滤波实现弱小目标的检测前跟踪。(The code is particle filter to implementation the weak target track before detection.)

说明：  matlab 实现文字提取 及正负面分析(Text Classication and Sentimental Analysis)

互功率谱求时延，并且统计了时延值和这个时间点的最大功率(Crosspower seek latency, and latency statistics and the time value of the maximum power point)

1. 给一段原始的语音信号（可以是自己录制的一段语音），加上一频率为3.8kHz的高频余弦噪声和频率为3.6kHz的高频正弦噪声（幅度自己可以选择），用窗函数设计一滤波器（要求最小阻带衰减为50dB）对加噪后的语音信号进行滤波，画出滤波器的频率响应曲线，画出滤波前后的时域图和频谱图。 需要用到的函数： fir1 用窗函数设计FIR滤波器的函数 2. 用GUI设计一界面（如图1所示）完成如下功能： 1） 输入一语音信号，画出语音信号的时域图和频谱图； 2） 对语音信号加噪处理，画出加噪后的时域图和频谱图； 3） 给定滤波器的性能指标，采用几种不同的方法设计滤波器对加噪信后进行滤波，画出各滤波器的频率响应曲线，画出滤波后的时域图和频谱图。 (1. to some of the original speech signal (which can be a voice you record yourself), plus a cosine frequency of 3.8kHz frequency noise and frequency of 3.6kHz frequency sinusoidal noise (in the range that they can choose), with a window function to design a filter (requires a minimum stop band attenuation is 50dB) after adding noise to the speech signal is filtered, the filter frequency response curve to draw, draw diagrams and time-domain spectrum before and after filtering. Need to use the function: function fir1 with window function design FIR filter design 2. Using a GUI interface (Figure 1) complete the following functions: 1) an input speech signal, the speech signal in the time domain to draw graphs and spectrum 2) adding noise to the speech signal processing, draw diagrams and time-domain plus noise spectrum after 3) to set the filter performance, using several different methods designed to filter letter after adding noise filtering, draw the frequency response curve of each )

使用matlab读取CSV文件，本例能够很好的对其读取方法进行展示，给学习带来帮助 (Using matlab to read CSV file, in this case to read a good method of its display, to bring help to learn)

ss4 电力机车的完整仿真模型 可用于铁道电气化电力机车的受流及过电压仿真分析(ss4 complete simulation model of the electric locomotive can be used for the simulation analysis of railway electrification electric locomotives by the current and over voltage)

cusum test for faulty

这是基于matlab的关于Mel频率倒谱系数（MelFrequencyCepstrumCoefficient，MFCC）的代码，对大家理解有一定帮助。(This is based on the matlab Mel Frequency Cepstral Coefficients (MelFrequencyCepstrumCoefficient, MFCC) code for us to understand some help.)

基于贝叶斯理论，针对五层框架结构，利用模型更新的原理对结构物理参数进行识别(Based on the Bayesian theory, the structural physical parameters are identified by the principle of model updating for the five-layer frame structure)