EX0905

由OUADDEMO、ZERODEMO和FPLOTDEMO等函数调用的一个函数 humps(x)是一个在x=0.3和x=0.9附近有尖锐极大值的函数 [X,Y]=HUMPS(x)在无输入时，HUMPS将使用x=0:0.5:1返回X(By the OUADDEMO, ZERODEMO and FPLOTDEMO other function calls a function humps (x) is an x ​ ​ = 0.3 and x = 0.9 the maximum value near the sharp function [X, Y] = HUMPS (x) in the absence of input , HUMPS uses X return x = 0:0.5:1)

matlab下对huffman编码进行模拟.可以进一步帮助理解编码过程(right under Matlab simulation Huffman coding. Can help further understanding of the encoding process)

传统的music算法仿真 通信信号处理 功率普估计 波达方向估计 (Traditional music algorithm simulation communications signal processing power Pu estimated DOA Estimation)

用巴特沃斯方法和切比雪夫方法做的数字带通滤波器(Bandpass filter using the method of Butterworth and cut the number of Chebyshev method )

将地震勘探工程中的标准格式segy文件中的数据读入到matlab的变量中，方便自己编程序处理数据。(The seismic data in a standard format segy project file is read into matlab variables, and to facilitate their programmed to process the data.)

一个很有用的程序，音频信号通过LM386放大，小波包分析提取振动信号中的特征频率。( A very useful program, LM386 audio signal amplification, Wavelet packet analysis to extract vibration signal characteristic frequency.)

mfcc, it helps you recognize the speech

这个MATLAB软件包实现了小波在一维Gabior样转换的文件中所述： [1] K.N.乔杜里，M.，王凤琴，“建设希尔伯特变换的双 波基和Gabor变换，“对信号的IEEE交易 加工，第一卷。 57，没有。 9，3411-3425，2009年9月。 作者：K.N.乔杜里。 模块如下： --------------------------- 1。 demo.m 一个简单的例子演示软件的使用。 2。 autcorr.m 计算自相关函数的频率响应。 3。 filters.m 计算尺度和小波滤波器。 4。 projectionFilters.m 到近似计算的投影最小二乘过滤器 空间。 5。 analysis.m 计算复杂的小波子在不同的分辨率。 6。 synthesis.m 从低通逼近和重构原始信号 小波系数。 7。 displayResults.m 显示输入信号，真实，小波虚componenets 子带，在每一项决议和其modlus和相位，也是 重建信号和错误的。 8。 exception.m(This MATLAB package implements the Gabior-like wavelet transform in 1-dimension as described in the paper: [1] K.N. Chaudhury, M. Unser, "Construction of Hilbert Transform Pairs of Wavelet Bases and Gabor-Like Transforms," IEEE Transactions on Signal Processing, vol. 57, no. 9, pp. 3411-3425, September 2009. Author: K.N. Chaudhury. The modules are as follows: --------------------------- 1. demo.m Demonstrates the usage of the software with a simple example. 2. autcorr.m Computes the frequency response of the autocorrelation function. 3. filters.m Computes the scaling and wavelet filters. 4. projectionFilters.m Computes the filters for the least-squares projection onto the approximation spaces. 5. analysis.m Computes the complex wavelet subbands at different resolutions. 6. synthesis.m Reconstructs the original signal from the lowpass approximation and the wavelet coefficients. 7. displayResults.m Disp)

neural network programming with its coding

State Space and Kalman Filter