piso_beha_tb

内容包括离散时间信号简介、随机变量和随机过程的基本知识、维纳滤波器的基本知识、误差性能曲面的性质、牛顿法、最陡下降法、LMS算法及各种改进算法、最小二乘算法等的介绍。(Include discrete-time signal profiles, random variables and a basic knowledge of stochastic processes, Wiener filter basic knowledge of the nature of the error performance surface, Newton method, steepest descent method, LMS algorithm and a variety of improved algorithms, least-squares algorithm such as introduction.)

this is file transport neutron

均匀白噪声、高斯白噪声信号波形，及其自相关函数和频谱密度函数图形(The wave of Even White noise and Gaussian noise,and their Autocorrelation Function and Spectrum Density. )

Artifical neural network forecasting. The code helps so much in training and testing data. It also developed in order to predict another new data base on the observed data

AAM fitting algorithm

关于谱分析的函数 时间序列分析 谐波分析 并有中科院气象研究院的教程(Function on spectral analysis of time series analysis and harmonic analysis of Chinese Academy of Sciences Institute of Meteorology Tutorial)

matlab s easy lessons

说明：  用matlab实现音频信号在频率上的处理( Programs with matlab realizes the tonic train signaling equalization treatment )

图像空域锐化增强，用matlab分别实现Roberts、Sobel、Priwitt算子的锐化处理，以及实现拉普拉斯图像和原始图像叠加的增强处理(Image airspace sharpening, respectively, to achieve with matlab Roberts, Sobel, Priwitt operator sharpening, and achieve enhancement Laplace image and the original image overlay)

本文档包括，BA_net.m、WS_net.m和randomgraph.m是可以直接运行的文件，分别生成三种不同网络的网络模型和特性曲线等，以及一个说明文档。(This document includes: BA_net.m, WS_net.m and randomgraph.m file can be run directly, namely generation network model and characteristics of three different networks and so on. )