primal_dual

RNN matlab 例程，有多个源码，比较简单，分享给初学者们(RNN matlab routines, there are multiple source code, relatively simple to share with beginners)

无失真传输的GUI程序可以调节无失真传输的各个参数(Non-distorted transmission GUI program can adjust the various parameters of the lossless transmission)

说明：  对二杆桁架静力分析，一维搜索的matlab演示程序。(of two truss static analysis, one-dimensional search Matlab demo program.)

该matlab代码主要用于计算图像的边缘强度，信息熵，灰度均值，标准差(均方差MSE)，均方根误差，峰值信噪比（psnr），空间频率(sf)，图像清晰度，互信息(mi)，结构相似性(ssim)，交叉熵(cross entropy)，相对标准差。( calculate the uation average gradient, edge strength, information entropy, gray are Value, standard deviation (mean square error MSE), root mean square error, peak signal to noise ratio (psnr), spatial frequency (sf), image clarity, mutual information (mi), structure Similarity (ssim), cross-entropy (cross entropy), the relative standard deviation.)

matlab程序，本程序为样本熵程序，程序可运行，是很好的特征提取参数.(matlab procedures, the procedures for sample entropy, the program can be run, is a good feature extraction parameters.)

采用MATLAB自身的三电平PWM模块，搭建三电平逆变器，输出电流波形正弦度非常好。(Using MATLAB s own three-level PWM module, to build three-level inverter, sine wave output current is very good.)

分析了该信号的时域、频域、倒谱，循环谱等,结合PCA的尺度不变特征变换(SIFT)算法，DC-DC部分采用定功率单环控制。( Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. Combined with PCA scale invariant feature transform (SIFT) algorithm, DC-DC power single-part set-loop control.)

说明：  最小均方算法的仿真， LMS算法仿真在移动通信的应用(Least mean square algorithm simulation, LMS algorithm for the application of simulation in mobile communications)

设采样频率为1Hz，对于淹没在复高斯白噪声中的信噪比为 的两个复LFM信号，采用子带带宽为0.1Hz的升余弦滤波器，共9个子带滤波器构成的滤波器组，时间窗为窗长为256的矩形窗，进行仿真(based sampling frequency of 1Hz. For drowned in the complex Gaussian white noise to the signal-to-noise ratio of 2 Minute LFM, using sub-band bandwidth of 0.1 Hz or cosine filter, a total of nine sub-band filter a filter group, time window to window to 256 long rectangular window simulation)

MATLABMATLAB教材学习资料,大家应该能用的上(studying matlab_netCDF_OPeNDAPget_dods_dds.m.rar)