Matlablecture

原版matlab bpsk信号的调制解调，可显示发送数据的波形，调制后的波形，接收波形，误码情况等(Original matlab bpsk signal modulation and demodulation, send data to display the waveform, the modulated waveform received waveform, error conditions, etc.)

Algorithme fourmis reseau neuronnes MatlabAlgorithme fourmis reseau neuronnes MatlabAlgorithme fourmis reseau neuronnes MatlabAlgorithme fourmis reseau neuronnes MatlabAlgorithme fourmis reseau neuronnes Matlab

用于分类的主判别变量算法(principal discriminant variate algorithm) ( principal discriminant variate algorithm for two classes, x1 and x2. x1 is the training samples in the 1st class with each column being the spectrum characterizing the corresponding sample. x2 is the training samples in the 2nd class with each column being the spectrum characterizing the corresponding sample. lamda is the penalty weight defining the balance between FLDA and PCA. dvnum is the number of principal discriminant variates to be computed. A defaul value for dvnum is 2. dv is the principal discriminant variates. scores is the matrix with each row being the scores of the samples on the corresponding principal discriminant variate. xmean is the mean spectra of the sample, which was used for mean-centering the data in training and prediction. )

是关于matlab入门的一个PPT，对初学者很有帮助的。。。(Matlab getting started on a PPT, very helpful for beginners. . .)

工具箱，控制理论发展的最新成果，很好的东西，分分享(Toolbox, the latest development of control theory, very good, sub-share)

部分子空间法示例程序 注释为日文，可能会显示为乱码(Some subspace sample program notes for the Japanese may be displayed as garbage)

假设一个接收到的信号为：x(t)=s(t)+n(t), 其中s(t)=A*cos(wt+a), 已知信号的频率w=1KHz， 而信号的幅度和相位未知，n(t)是一个服从N(0,1)分布的白噪声。为了利用计算机对信号进行处理， 将信号按10KHz的频率进行采样。 通过对x(t)进行LMS自适应信号处理，从接收信号中滤出有用信号s(t). 在未知信号频率的情况下，通过对x(t)进行LMS自适应信号处理，从接收信号中滤出有用信号s(t). (Assuming a received signal: x (t) = s (t)+ n (t), one of s (t) = A* cos (wt+ a), the known frequency signal w = 1KHz, And the signal amplitude and phase of the unknown, n (t) is a subject to N (0,1) the distribution of white noise. The use of computers in order to deal with the signal, The signal by sampling frequency of 10KHz. Of x (t) for LMS adaptive signal processing, filtering from the received signal in the useful signal s (t). Frequency signals in unknown circumstances, the adoption of x (t) for LMS adaptive signal processing, filtering from the received signal in the useful signal s (t).)

this is the fifth file of coding in matlab

experimetal code for meshfree exponential integrators

基于字典学习的语音增强中字典更新的算法，称作近似K-SVD算法，其中包含了OMP算法用于稀疏编码计算系数矩阵(Dictionary-based learning dictionary speech enhancement algorithm update, called approximate K-SVD algorithm, which contains the sparse coding algorithm is used to calculate the coefficient matrix OMP)