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Underdetermined Blind Source PSO

psat2.1.2说明文档，用于学习past，稳态暂态潮流计算以及故障分析(psat2.1.2 documentation, for learning past, steady-state flow calculation and fault analysis of transient)

各种随机分布的直方图，频谱估计图，频谱归一图(Various random distribution histogram, spectrum estimation map, the normalized frequency spectrum chart)

交互式多模型目标跟踪UKF和EKF滤波（内附例程与相关论文）。(Interacting multiple model target tracking filter UKF and EKF (with routines and related papers).)

插值与拟合的matlab实现，该函数用来计算任意函数的一阶偏导数(数值方法),是路径规划的实用方法。( Interpolation and fitting matlab implementation, This function is used to calculate the arbitrary function of the first order partial derivative (numerical methods), Is a practical method of path planning.)

说明：  FSK差分检波系统仿真的课程设计 本课程设计主要利用MATLAB集成环境下的Simulink仿真平台，设计一个FSK信号差分检波系统。观察FSK调制前后的信号波形,并对调制前后信号的频谱进行分析,再以调制信号为输入，构建差分检波解调系统电路，观察解调前后的信号波形，并对解调前后信号的频谱进行分析。加入噪声分析通过三种不同信道FSK信号差分检波系统接受信号的性能。仿真结果，基本达到课程设计要求。(FSK differential detection system simulation of the curriculum design of this course the main use of MATLAB integrated design environment of Simulink simulation platform, the design of a FSK signal differential detection system. Observed before and after FSK modulation signal waveforms, and modulation signal spectrum before and after analysis, and then modulated signal as input, build a system of differential detection demodulator circuits, observe the pre-and post-demodulation signal waveforms, and signal demodulation spectrum before and after analysis. Adding noise analysis through the three different channel FSK signal differential signal detection system to accept performance. The simulation results, the basic courses to meet the design requirements.)

This is used for applying edge linking in the images without applying any built-in functions.

利用BP神经网络与RBF（径向基函数）网络对三类目标（W.zip, T.zip, B.zip）进行分类.(BP neural network and RBF (Radial Basis Function) network on three targets (W.zip, T.zip, B.zip) classification.)

对录音信号集 中的某一语音，利用BATLAB设计一美尔例谱算法，并实现。 取信号集 中的一个语音信号：“xxxxxx”，将它作为输入的语音信号来为设计一个美尔倒谱算法，在该算法中，主要设计了以下环节： 1.读入一个语音信号；2.对这个信号归一化；3.对归一化的信号进行加窗处理（这里的矩形窗长度必须为257，重帧长64）；4.进行预加重处理，即通过一个高通滤波器： ；5进行512点的FFT；6.分别取模平方得到功率谱；7.在设计的mel滤波器组中，我采用了25个带通滤波器；8.将得到的功率谱信号通过mel滤波器组，得到相应的25个功率值；9.对这些功率值取自然对数；10.对这些值取离散作弦变换；11.将得到的值去掉直流分量，取其它值作为MFCC参数。 (Concentrated on recording a voice signal, using BATLAB designed Mayer cases spectral algorithm, and implementation. Get a voice signal signal focus: "xxxxxx", will it as input for the design of a voice signal to Mel Cepstrum algorithm in the algorithm, the main design of the following links: 1. Read a speech signal 2. On the signal normalized 3. Of the normalized windowed signal processing (here, rectangular window length must be 257, re-frame size 64) 4. For Pre-emphasis processing through a high-pass filter: 5 for 512 points of FFT 6. modulo square were obtained spectrum 7. in the design of mel filter banks, I use a 25 band-pass filter 8 . will be the power spectrum signal by mel filter bank, corresponding to the 25 power values 9. on the power to take the natural logarithm value 10. to take these values as strings of discrete transform 11. will be of value to out DC component, to take other values as MFCC parameters.)

说明：  边缘检测的matlab实现。详细介绍了各种边缘检测用法(Edge detection matlab implementation. Details the use of a variety of edge detection)