ica_demo

这是一个贝叶斯独立分量分析(ICA)算法的线性瞬时混合高斯噪声模型和添加剂。解决问题的是ML-II推论,即资源的整合在发现源后和噪声协方差矩阵和混合了最大化的边际似然。充分统计量的估计平均场或变分理论和线性响应修正或通过自适应平均场理论水龙头。平均场方程,解决了信仰传播法的或连续的迭代。(This is a bayesian independent component analysis (ICA) algorithm of instantaneous linear mixed gaussian noise model and additives. The solution to the problem of is ML-II inference, namely of the integration of resources and noise source in found that after the covariance matrices and mixed the maximization of marginal likelihood. Sufficient statistics estimate of the mean field or variational theory and linear response correction or through the adaptive average field theory faucet. Average field equations are solved belief propagation method or continuous iteration.)

边缘预测提出了一种基于预测的、有一定自适应性的边缘检测方法。介绍了其原理和算法实现过程。通过计算两个相邻像素的灰度值的均值、均方差和梯度来预测下一个像素的灰度值,比较预测值和真实值来判断下一个像素是否是边界点。通过与现有同类算法的比较,证明了该算法的优越性(A predictive and adaptive edge detection method is proposed. The principle and implementation process of the algorithm are introduced. The gray value of the next pixel is predicted by calculating the mean, mean square deviation and gradient of the gray value of the two adjacent pixels. The prediction value and the real value are compared to determine whether the next pixel is a boundary point. The superiority of this algorithm is proved by comparing with the existing similar algorithms.)

In this i attached matlab code for image retrieval function by finding the distance between training and testing features and arrange it in according to ascending order.

这是MATLAB课件，有很多matlab常用的命令及使用方法，适合想学matlab的人(This is the MATLAB software, there are a lot of matlab commonly used commands and how to use, suitable for people who want to learn matlab)

MATLAB中典型的霍夫变换检测圆，非常的经典的案例(MATLAB typical Hough transform circle detection, very classic case)

通过matlab计算Rayleigh信道的误码率(BERinRayleighchannel)

alpha稳定分布概率密度函数产生，应用于水声环境中混响噪声信号概率密度的建模，以便于研究水下信号传输(alpha stable distribution probability density function generator, used in underwater acoustic environment reverberation noise signal probability density modeling, in order to study the underwater signal transmission)

D—S证据理论下的频谱感知，比较基础。适合初学者学习研究，并进行改进。(D-S evidence theory the spectrum of perception, regardless of the basis. For beginners learning research, and make improvements.)

Computes driving functions..hope you like it

说明：  《遥感数字图象分析与编程》一书的课程ppt，附有详细IDL开发及MALTAB开发方法和例子。(&quot Remote sensing digital image analysis and programming,&quot a book of course ppt, with detailed IDL development and MALTAB development methods and examples.)