Matlab-program-of-Hough-Transform

电力系统故障计算，可以计算单相短路，单相接地短路，三相短路，两相短路接地，两相短路(power system fault, can calculate the single-phase short circuit, short-circuit to the single-phase and three-phase short-circuit, two-phase short-circuit grounding, two phase short circuit)

用matlab中gui做一个普通的科学计算器,可以参考一下(through Matlab gui，a common scientific calculator was made , you can consult it)

多目标优化与决策的基本方法基于Matlab的一种现代方法(Elementary Method for Multiobjective Optimization & Decision A Modern Approach in Matlab )

主要完成了8个部位脑电波数据的读取及动态曲线绘制，并添加了相应的波动曲线以便观察脑电信号的变化差异.附加脑电波原始数据，可成功运行。(Mainly completed reading and drawing dynamic curves from eight parts of the brain wave data, and add the corresponding fluctuation curve in order to observe differences in changes in EEG. Additional raw brain wave data can be run successfully.)

In his 1960 famous publication (“A new approach to linear filtering and prediction problems”, Trans.ASME J. Basic Engineering., vol 82, March 1960, pp 34-45), Rudolf Kalman based the construction of the state estimation filter on probability theory, and more specifically, on the properties of conditional Gaussian random variables. The criterion he proposed to minimize is the state vector covariance norm, yielding to the classical recursion : the new state estimate is deduced from the previous estimation by addition of a correction term proportional to the prediction error (or the innovation of the measured signal).

simulation of MIMO System

％CreateRefChannels.m，可以参考一哈，对于数字信号处理有用(CreateRefChannels.m%, a reference to Kazakhstan, For digital signal processing useful)

利用morlet小波变换，估计ASK信号的符号率(the estimation of symbol rate for ask signal)

This function takes the n time domain samples (real or complex) and finds the psd by taking (fft/n)^2. The two sided spectrum is produced by shifting the psd The array freq provides the appropriate frequency values for plotting purposes. By taking 10*log10(psd/max(psd)) the psd is normalized values beow 60db are set equal to -60db

denoising filters such as Average, Median, Gaussian, Wiener, Min-order-statistic, Maxorder-statistic and Median-order-statistic are used. Based on the images obtained by the mentioned filters, it is become obvious clear that for the given noisy image the Min filter acted much better than the other filters. Order-statistic Median and Gaussian filters are the ones that have a second and third good result respectively. That is way can conclude that the existing noise in the given image was Salt noise.