IEEE33

文献“Majorization-minimization algorithm for smooth Itakura-Saito nonnegative matrix factorization”的matlab仿真源码(Matlab simulation source literature Majorization-minimization algorithm for smooth Itakura-Saito nonnegative matrix factorization " )

本文主要讨论获得图片后如何提取其边界信息，首先利用图像灰度均匀化解决了对比度不清晰的问题，然后利用高斯滤波法对图片进行滤波去噪，进而利用Canny算法实现边缘检测提取边界，该方法与Matlab自带的求边界方法有明显的提高，为利用Matlab程序求图像分形维数提供了更精确的前提。(This article focuses on how to get the image to extract the boundary information, the first to use to the gray uniform solve the contrast is not clear, and then use the Gaussian filter image filtering noise, and then use the Canny edge detection algorithm to extract the boundary of the and Matlab comes boundary method has increased significantly, and provide a more accurate premise for the use of Matlab program for image fractal dimension.)

MRI brain image segmentation

K-S，即kolmogorov检验法，亦称拟合优度检验法。用来检验给定的一组数据是否来自分布F=F0，原理是若H0成立，则max|v/n-F0(qj)|应该很小，用手算几乎在绝大多数情况下是不可能的，通常借助统计软件，如SAS，S+等(K-S, namely Kolmogorov test, also known as goodness of fit test. It is used to test whether a given set of data comes from the distribution F=F0, and the principle is that if the H0 is set up, the max|v/n-F0 (QJ) should be very small, and the hand calculation is almost impossible in most cases, usually with the aid of statistical software, such as SAS, S+, etc.)

说明：  调用factoran函数根据相关系数矩阵作因子分析(Factor analysis based on correlation coefficient matrix by calling factoran function)

Hessenberg solution MATLAB code.

利用MATLAB工具,实现维特比译码的仿真,一个比较简单的做法(using MATLAB tool, Viterbi decoding simulation, a relatively simple approach)

语音信号处理来的预加重随后进行FFT变换，同时呈现结果图。(Speech signal processing preemphasis subsequent FFT, simultaneous presentation of the results in Fig.)

ARMA模型的matlab代码，详细，有注释(ARMA model matlab code, detailed, annotated)

Peter J原代码能够实现金字塔层次的图像融合(Source code of A Multiresolution Spline With Application to Image Mosaics (1983) Peter J. Burt, Edward H. Adelson)