work

matlab几个常用程序，用来学习神经网络编程练习(matlab several commonly used procedures used to study neural network programming exercises)

说明：  本实验的目的是考虑不同维数下的高斯概率密度模型，用最大似然估计方法对其参数进行估计，了解最大似然估计方法。(The purpose of this study is to consider different dimensions of the Gaussian probability density model, using the maximum likelihood method to estimate its parameters to find maximum likelihood estimation.)

MATLAB初级学习和应用以及进一步提高的PPT和源代码(MATLAB primary learning and applications, and to further improve the PPT and source code)

数值分析上机题的matlab程序，含有丰富的注释，并且在已经通过验证(Numerical analysis on the problem of machine matlab program, rich in notes, and has been validated)

吴恩达教授有关深度学习浅显易懂的算法介绍，包括基础算法和示例。(Deep learning algorithms introduction by Andrew Ng.)

说明：  此为台湾大学林智仁教授及所带领的团队编写的关于svm的程序包，简单实用。(This is the National Taiwan University Professor Lin Zhiren and the team led the preparation of the package on the svm, simple and practical.)

Matlab code，文件不大，实用、方便(Matlab code)

Entropy Detection in Cognitive Radio

anny边缘检测算子是John F. Canny于 1986 年开发出来的一个多级边缘检测算法。 Canny边缘检测算法： step1:用高斯滤波器平滑图象； step2:用一阶偏导的有限差分来计算梯度的幅值和方向； step3:对梯度幅值进行非极大值抑制； step4:用双阈值算法检测和连接边缘。(anny edge detection operator is John F. Canny developed in 1986 out of a multi-level edge detection algorithm. Canny edge detection algorithm: step1: Gaussian smoothing filter image step2: first-order finite difference to calculate partial derivatives of the magnitude and direction of the gradient step3: the gradient magnitude non-maxima suppression step4: use dual-threshold algorithm for detecting and connecting edges.)

说明：  第一章:MATLAB6 简介 第二章:离散信号及其MATLAB实现 第三章:离散系统及其MATLAB实现 第四章:信号变换及其MATLAB实现 第五章:离散系统的结构及其MATLAB实现 第六.七.八章:基于MATLAB的IIR DF.FIR DF 设计 功率谱估计(Chapter I: MATLAB6 Introduction Chapter II: MATLAB realization of discrete signal and its Chapter III: discrete-time systems and its achievement of Chapter IV of MATLAB: MATLAB realization of the signal transform and its chapter V: the structure of discrete-time systems and its achievement of sixth MATLAB. 7 . VIII: MATLAB-Based Design of IIR DF.FIR DF power spectrum estimation)