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MATLAB应用之车牌识别代码，对初学者课程设计有指导意义！(MATLAB application of license plate identification code, the design of the curriculum guide for beginners!)

说明：  ACS解决TSP问题的代码，希望对大家有所帮助哦 (ACS to solve the problem of code TSP)

51单片机经典教程，适用与初学者，能学到很多东西(51 single-chip classic tutorial for beginners and can learn a lot)

基于累计量的奇异值－总体最小二乘法求AR参数 用奇异值－总体最小二乘法求AR参数 一般最小二乘法求AR参数 根据AR参数和自相关函数以及AR阶数用Cadzow谱估计子求出频谱密度(Based on the cumulative amount of singular value- total least squares method for AR parameter using singular value- total least squares method for AR parameter ordinary least squares method for AR parameter in accordance with AR parameters and the autocorrelation function, as well as the order of AR spectral estimation using Cadzow sub-spectrum density obtained)

程序实现了QAm信号的编码调制以及差分解调过程，并仿真了QAm信号的星座图(QAM signal)

这是进行matlab的fft频响函数估计，它可以进行随机激励的频响估计(this is a program which is fft analysis it can uate frf that is random exict)

非常好用和实用的直线拟合MATLAB小程序。(Very easy to use and practical linear fitting MATLAB applet.)

In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: Nando de Freitas, Mahesan Niranjan and Andrew Gee Nonlinear State Space Estimation with Neural Networks and the EM algorithm After downloading the file, type "tar -xf EMdemo.tar" to uncompress it. This creates the directory EMdemo containing the required m files. Go to this directory, load matlab5 and type "EMtremor". The figures will then show you the simulation results, including ROC curves, likelihood plots, decision boundaries with error bars, etc. WARNING: Do make sure that you monitor the log-likelihood and check that it is increasing. Due to numerical errors, it might show glitches for some data sets. (In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: Nando de Freitas, Mahesan Niranjan and Andrew Gee Nonlinear State Space Estimation with Neural Networks and the EM algorithm After downloading the file, type "tar-xf EMdemo.tar" to uncompress it. This creates the directory EMdemo containing the required m files. Go to this directory, load matlab5 and type "EMtremor". The figures will then show you the simulation results, including ROC curves, likelihood plots, decision boundaries with error bars, etc. WARNING: Do make sure that you monitor the log-likelihood and check that it is increasing. Due to numerical errors, it might show glitches for some data sets. )

MAtlab code for finding transfer function

给原始的语音信号加上一个高频余弦噪声，频率为5kHz。画出加噪后的语音信号时域和频谱图(To the original speech signal and the last high frequency cosine noise, frequency of 5kHz. Speech signal time domain and frequency spectrum and noise after the draw)