clean-the-prog

CHP 3 - Real-Time Digital Signal Processing: Implementations and Applications, Second Edition by Sen M. Kuo, Bob H. Lee & Wenshun Tian, ISBN 0470014954 - Real-Time Digital Signal Processing: Implementations and Applications, Second Edition by Sen M. Kuo, Bob H. Lee & Wenshun Tian, ISBN 0470014954(CHP 3- Real-Time Digital Signal Processing: Implementations and Applications, Second Edition by Sen M. Kuo, Bob H. Lee & Wenshun Tian, ISBN 0470014954- Real-Time Digital Signal Processing: Implementations and Applications, Second Edition by Sen M. Kuo, Bob H. Lee & Wenshun Tian, ISBN 0470014954)

说明：  MATLAB关于关于FFT频谱分析的程序(MATLAB on the on the FFT spectrum analysis program)

稀疏矩阵的matlab算法，以及稀疏矩阵存储技术的介绍。(Matlab sparse matrix algorithms, and sparse matrix storage technology introduction.)

1/f Noise Characteristics of Sub-100 nm MOS Transistors

PUMA560仿真系统,基于MATLAB的robotics toolbox工具箱。(failed to translate)

说明：  基于帧间差分法的运动目标检测程序，可以直接使用，付视频(Frame difference method based on motion detection program that can be used directly)

数字图像处理源代码 matlab编程实现(matlab Digital image processing source code )

For using this code need to use signal toolbox and general toolbox in your matlab Inpainting using sparse regularization. Consider the pepper image with many missing pixels. Assume that the image is noisy-free. (a) Inpaint the image by using orthogonal wavelet sparsity. (b) Inpaint the image by using a different sparsity prior. Based on the outputs, it is clear that the inpainting result obtain by Sobolev is much better than other methods (i.e. Orthogonal wavelet sparsity and Invariant wavelet sparsity).

几篇关于SAR图像边缘检测的论文，包含各种边缘检测算法的比较，可以统一下载来对比使用，看各种方法优缺点。(SAR image edge detection on several papers, including the comparison of various edge detection algorithms can be downloaded to compare the use of uniform, to see advantages and disadvantages of various methods.)

黄金分割法，用于一维线性优化，输入相应目标函数，可得最优变量(Golden method for one-dimensional linear optimization, enter the appropriate objective function, we can get the optimal variable)