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该文档包含了深度学习中主成分分析（PCA）的程序代码(this document contain PCA of deep learning)

演示MA序列的特征值、自协方差函数和谱密度。程序是开放的，可以修改参数(MA eigenvalues ​ ​ demo sequence, since covariance function and spectral density. The program is open, you can modify the parameters)

经典MUSIC算法，只针对非相干空间信号源，原理课参考张贤达版的现代信号处理。(failed to translate)

principal component analysis applied to an image

最新的gstreamer内部原理和开发指南，讲的非常详细，收藏好多年啦(The new GStreamer internal principle and development guide, a very detailed, for several years)

说明：  利用LMS、NLMS和LLMS算法，在MATLAB中使用麦克风阵列估计声源位置(The location of sound source is estimated using an array of microphones in MATLAB using LMS, NLMS and LLMS algorithms)

本文针对SLAM数据关联中使用最为广泛的最近邻方法作了改进，利用特征估计位置与载体预测位置之间的欧氏距离计算代替了全部特征与每个量测之间的马氏距离计算，避免了大量的矩阵乘法计算。该算法简单易行，降低了算法的计算复杂度，有利于SLAM算法的实时执行，且关联效果与全局最近邻法相同(In this paper, SLAM data association in the most widely used methods of improving the nearest neighbor, using the characteristics of the estimated location and the location of vector prediction Euclidean distance between the calculation instead of all the characteristics of each measurement between the Mahalanobis distance calculation, to avoid a large number of matrix multiplication calculation. The algorithm is simple, the algorithm to reduce computational complexity and is conducive to the implementation of real-time SLAM algorithm, and the effects associated with the same overall nearest neighbor method)

用于实现粒子群算法的matlab工具包，带有一些测试函数(particle swarm optimization toolbox for matlab)

各种图像处理的工具库，来自random walk的开发者。包括normalize cut, random walk等多种图像分割函数等。(Various image processing tool library, from the random walk of the developer. Include normalize cut, random walk and other functions such as image segmentation.)

ALTERNATOR MATLAB MODEL