DFA

讲述了如何在octave中 使用matlab的M文件，非常好用的啊！(Described how to use*.M file type from matlab in octave,good to use!)

常见的基于人类视觉特性的图像增强算法由于是同时完成动态范围压缩和对比度增强,导致增强图像的整体对比度不高、边缘部分效果不佳.通过分析人类视觉系统的全局和局部自适应调节原理及人眼视网膜神经节细胞感受野的传输特性,提出一种仿生图像增强法.为适应人类视觉系统对光强的主观感觉特性,对图像作全局亮度对数变换 并利用人眼的主观亮度感觉与实际光强的对数呈局部线性关系的特性,采用视网膜神经元感受野三高斯 模型来调整亮度图像的局部对比度 最后利用线性变换恢复图像的彩色信息.实验结果表明,该算法的增强效果良好,特别是对于图像边界处,既能很好地增强边缘对比,又可有效地提升区域亮度对比和亮度梯度信息. (image enchancement)

讲数字通讯的星座图的,里面有matlab程序,讲的很好.可以下载.(Stresses digital communications constellation diagram, which has matlab procedure, speaking well. Can be downloaded.)

说明：  用matlab实现的曼彻斯特编码。50 占空比（可调）。绘制时域波形和频域功率谱密度。结果跟北邮的郭文斌的通信原理课件上的形状一模一样。(Manchester encoding with a matlab implementation. 50 duty cycle (adjustable). Draw time-domain waveform and frequency domain power spectral density. The results with the Beijing University of Posts and Telecommunications of the GUO of communication theory on the shape of the same courseware.)

用dtw方法做的语音识别程序，可以识别简单的单个数字(dtw methods using the voice recognition procedure, a simple recognition of individual figures)

本程序使用非负矩阵分解方法进行网络社区检测(detecting the community by using the NMF )

实现矩阵的LU最大主元分解，方便快捷有效，可以查看分解过程，适合初学者(Achieve maximum principal component matrix LU decomposition, convenient and effective, you can view the decomposition process, suitable for beginners)

在诸多ICA算法中，固定点算法 (也称FastlCA)以其收敛速度快、分离效果好被广泛应用于信号处理领域。该算法能很好地从观测信号中估计出相互统计独立的、被未知因素混合的原始信号。(In many ICA algorithms, fixed-point algorithm (also known as FastlCA) for its fast convergence and good separation effect is widely used signal processing. The algorithm can estimate from the observed signals statistically independent each other, unknown factors are a mixture of the original signal.)

PCA distance and classification example

说明：  基于PNN变压器故障诊断概率神经网络的分类预测MATLAB源码(MATLAB source code for classification prediction based on PNN transformer fault diagnosis probabilistic neural network)