gaussion_GVD_SPM

多通道盲卷积实现图像超分辨率重建 效果不错 (Blind convolution multiple images super-resolution)

该程序实现了高斯白噪声环境下直流电平的检测.画出了似然比门限,虚警,漏警随先验概率,代价因自等变化的情况.(The program to achieve the detection of DC level Gauss white noise environment. Draw the likelihood ratio threshold, the false alarm, alarm with the prior probability, cost because of the changes.)

两级空间搜索优化的立体麦克风阵列声源定位matlab程序，采用SRP-PHAT技术，有效抗混响及噪音。(Fast Sound Source Localization Using Two-Level Search Space Clustering Simple demonstration using simulated data)

用二维小波包分解得到水平垂直细节系数，据此组合合成图像的边缘，并与传统算子方法对比(Two-dimensional wavelet packet decomposition has been the level of vertical detail coefficient, which images the edge of combinatorial chemistry and operator with the traditional methods)

Based on the rough set theory and its reduction methods, a MATLAB interface is written and included in the RSDA Toolbox

关于曲面的曲率线解法的几个例子，具有实际的代表性，能够覆盖多数求解问题。(Lines of curvature on the surface a few examples of solution, with the actual representative can cover the majority of solving the problem.)

说明：  基于非负矩阵分解（NMF）的人脸特征提取算法，NMF基本思想是找到一个线性子空间W，使的构成子空间的基本图像的像素点都是正值，而且人脸图像在子空间上的投影系数也是正数(Non-negative Matrix Factorization (NMF) of facial feature extraction algorithm, NMF basic idea is to find a linear sub-space W, so that the composition of sub-space of the basic image pixels are positive, and face image in the sub-space projection coefficient is positive)

QPSK,16QAM,64QAM星座图映射，是信号处理的基础，具有参考价值(QPSK, 16QAM, 64QAM constellation mapping, is the basis for signal processing, with the reference value)

This program calculates minimum and inner constraint and plots the ellipsoid error.This is a useful code for solving geodetic networks.

有一个信号，如果抽样频率，设计一个M点滑动平均系统，要求虑除信号中500Hz的成分，用MATLAB编程仿真结果，确定M的值并画出滑动平均系统的幅频特性图。(Have a signal, if the sampling frequency, to design a M point moving average systems, requirements, in addition to the composition of 500 hz in signal with MATLAB simulation results, determine the value of M and draw the amplitude-frequency characteristics of moving average systems. )