sfrmat2_guide

Run this m-file to see several examples of volume visualization in MATLAB.

对图像实现骨架化操作、提取边界、执行图像开运算度、增强图像对比度并提取文本图像中的某些字符对象。(Implementation of the image skeleton operation, extraction of the border, the implementation of open computing degree images to enhance image contrast and to extract the text of some of the characters in the image object。)

EZW:基于小波变换的零树编码程序,matlab实现(EZW : Based on the wavelet transform Zerotree coding process, achieving Matlab)

Sparse matrix storage and computing

Matlab source code for DCT-based watermarking for grayscale images. DCT-based watermark recovering without resorting to the uncorrupted original image. Digital watermarking has been proposed as a viable solution to the need of copyright protection and authentication of multimedia data in a networked environment, since it makes possible to identify the author, owner, distributor or authorized consumer of a document. A new watermarking technique to add a code to digital images is presented: the method operates in the frequency domain embedding a pseudo-random sequence of real numbers in a selected set of DCT coefficients. Watermark casting is performed by exploiting the masking characteristics of the Human Visual System, to ensure watermark invisibility. The embedded sequence is extracted without resorting to the original image, so that the proposed technique represents a major improvement to methods relying on the comparison between the watermarked and original images.

入侵性杂草算法，连续型，多目标，多维函数优化。(invasive weed 0ptimization is a good optimal tools for any continual problem. IWO has been successfully applied to several electromagnetic optimization problems)

利用Matlab编写程序实现简易计算器功能,完成日常计算必备神器(Using Matlab programming to achieve simple calculator functions necessary to complete everyday computing artifacts)

用于现代信号分析与处理课程，系统辨识、维纳滤波和自适应滤波(Used in modern signal analysis and processing programs, system identification, Wiener filtering and adaptive filtering)

说明：  灰度图像的位面图程序 matlab环境下写的 希望能有帮助(Gray image Bit plane map program， hopes to help you)

常规DOA谱估计music算法在多径环境下失效，SVD算法利用最大特征值对应的特征矢量重新构造奇异值矩阵，可以成功估计相干信号。(Conventional music spectrum estimation algorithm for DOA in multipath environment, failure, SVD algorithm using the maximum eigenvalue of the feature vector corresponding to re-construct singular value matrix, can be successfully estimated coherent signal.)