programisolationstructure

图象TV去噪,它是一个著名的图象去噪模型,能保持边沿(TV denoising images, it is a well-known image denoising model, able to maintain the edge)

Matlab中基于dq变换的锁相环仿真研究.(Matlab based on dq transformation of phase-locked loop simulation.)

Visual C++ Huffman Map Implementation

My program designs some kinda FIR filters. It is applicable and useful.It has graphic shows.

matlab code for projectile motion

FSK modulation and demodulation

说明：  第三章 MATLAB 图形对象 3.1 图形对象 3.1.1 Root 对象 3.1.2 Figure 对象 3.1.3 Uicontrol 对象 3.1.4 Uimenu 对象 3.1.5 Axes 对象 3.1.6 Image 对象 3.1.7 Line 对象 3.1.8 Patch 对象 3.1.9 Rectangle 对象 3.1.10 Surface 对象 3.1.11 Light 对象 3.1.12 Text 对象 (Chapter III of MATLAB graphic objects 3.1 graphic object 3.1.1 Root object 3.1.2 Figure object 3.1.3 Uicontrol object 3.1.4 Uimenu object 3.1.5 Axes Object 3.1.6 Image Object 3.1.7 Line object 3.1.8 Patch Object 3.1. 9 Rectangle object 3.1.10 Surface Object 3.1.11 Light Object 3.1.12 Text Object)

采用卡尔曼滤波器滤除语音信号中的有色噪声，采用Matlab实现，并给出了实例(Kalman filter to filter the speech signal colored noise, using Matlab to achieve, and gives an example)

基于dct，matlab，编码，图像压缩，很有意思，下载吧(On dct, matlab, coding, image compression, is very interesting, download it)

RPCA (Robust Principal Component Analysis)是目前用于矩阵填充、图像去噪的最有效的优化方法。该代码是求解RPCA的一种数值算法——Exact ALM（Exact Augmented Lagrange Multiplier）(The most basic form of the exact ALM function is [A, E] = exact_alm_rpca(D, λ), and that of the inexact ALM function is [A, E] = inexact_alm_rpca(D, λ), where D is a real matrix and λ is a positive real number. We solve the RPCA problem using the method of augmented Lagrange multipliers. The method converges Q-linearly to the optimal solution. The exact ALM algorithm is simple to implement, each iteration involves computing a partial SVD of a matrix the size of D, and converges to the true solution in a small number of iterations. The algorithm can be further speeded up by using a fast continuation technique, thereby yielding the inexact ALM algorithm.)