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这个程序代码用于提取眼底图像的血管，包括去噪、边缘检测(The program code for extracting a blood vessel image of the fundus, including denoising, edge detection)

cross section for erbium dopped fiber amplifier

3.1语音信号的同态处理和倒谱分析30 3.1.1同态处理的基本原理30 3.1.2复倒谱和倒谱31 3.2离散余弦变换34 3.3Mel频率倒谱系数的分析37 3.3.1Mel滤波器组37 3.3.2MFCC特征参数提取38 3.4小波和小波包变换43 3.4.1小波变换43 3.4.2小波包变换44 3.4.3小波包算法45 3.4.4MATLAB中一维小波和小波包变换函数46 3.4.5MATLAB语音信号小波和小波包变换的例子49 3.5EMD的基本理论和算法53 3.5.1EMD的基本概念53 3.5.2EMD 的基本原理55 3.5.3EMD法的完备性和正交性57 3.5.4基于EMD的Hilbert变换的基本原理和算法59 3.5.5EMD法的MATLAB函数60(3.1 homomorphic speech signal processing fundamentals and cepstrum analysis 30 3.1.1 30 3.1.2 homomorphic processing complex cepstrum and cepstrum 31 3.2 Discrete Cosine Transform 34 3.3Mel frequency analysis of 37 3.3.1Mel cepstral filtering control group of 37 3.3.2MFCC feature extraction 38 3.4 wavelet and wavelet packet transform wavelet transform 43 43 3.4.1 3.4.2 3.4.3 44 wavelet packet transform wavelet packet algorithm 45 3.4.4MATLAB one-dimensional wavelet and wavelet packet transform function 46 3.4.5MATLAB voice signal example of wavelet and wavelet packet transform 49 3.5EMD basic theory and algorithms 53 3.5.1EMD basic concepts of the basic principles of law 53 3.5.2EMD of 55 3.5.3EMD completeness and orthogonality 57 3.5.4 Based on the basic principle of MATLAB functions and algorithms EMD Hilbert transform 60 of 59 3.5.5EMD law)

说明：  QR分解的MATLAB程序，可用于MIMO智能天线等(QR decomposition)

以matlab编写的pi-sigma模糊神经网络程序(to Matlab prepared by the pi-sigma FNN procedures)

matlab去噪程序 应用于逆向中大量点云数据的处理(matlab denoising procedure applied to reverse a large number of point cloud data processing)

利用拉普拉斯先验的压缩感知稀疏重构的贝叶斯方法，具有较好的计算精度(Bayesian compressive sensing using laplace priors，with high accuracy )

一个基于matlab的gps电离层数据计算程序，可以在mtlab环境下进行电离层计算(a little program for mathematic of gps)

电力系统稳态潮流程序，极坐标和直角坐标程序(Power system steady trend procedures, polar and rectangular coordinates program)

有借鉴意义哦，BP神经网络的整个训练过程,空间目标识别，采用PM算法。( There are reference Oh, The entire training process BP neural network, Space target recognition algorithm using PM.)