MATLAB

本程序是在不同小波包基的情况鲁昂下研究峰均功率的程序(This procedure is different from the case of wavelet packet basis of Rouen peak to average power under the procedures)

小小的最近邻算法，希望能够对大家有所帮助(Tiny nearest neighbor algorithm , hoping to be helpful to everyone)

collision avoidance channel

matlab离散信号时域分析，和频域分析实例，适合基础者使用。（来源课堂个人实验）(Matlab discrete time-domain signal analysis and frequency domain analysis of the examples, the use of suitable infrastructure. (Source individual classroom experiment))

研究脑电的经典文章，国外大牛写的，值得推荐，研究脑电信号处理的方法(EEG studies classic article, written by Daniel abroad, it is recommended to study the EEG signal processing methods)

光子筛孔分布的例程，环数不同，用于光子筛成像时使用(Photon sieve distribution routines different rings, used for imaging photon sieve)

Matlab2012最新教程 (Word 文件，内含代码可直接复制调试)(Matlab Tutorial 2012 Edition Code is free to copy in this word file)

用MATLAB中remez函数设计一带通FIR滤波器。打印出单位脉冲响应 ，并画出幅频响应。(Design using MATLAB function in the vicinity of remez pass FIR filter. Print out the unit impulse response and frequency response plot.)

请大家帮忙看看问题出在哪里,a0、a1、a2还可以，A3以后就不对了(Matlab computing applications lamb wave dispersion curves, group velocity and phase velocity calculation.)

设计一个简单的GUI界面，对导入的音频文件进行时域特性分析。计算其时域波形、平均幅度、短时能量、短时过零率。对该音频文件进行加噪处理，分析其时域波形变化。设定一个固定时长，对该音频添加回声并保存为“*.wav”格式文件。 对音频文件的时域分析是对音频文件进行传输、降噪及其他再编辑的基础。其中短时能量可用作清浊音区分的标准和语音起始点的判断。短时过零率可用作判断有声段与无声段和从背景噪声中提取语音信号。 (Design a simple GUI interface that time domain characteristics analysis on import audio files.Calculate the average time domain waveform, amplitude, short-time energy and short-time zero crossing ratio.Add to deal with the noise of the audio files, analyze the changes in the time domain waveform.To set a fixed time, to add the audio echo and saved as a *. Wav format file. The time domain analysis of the audio file was transmitted to audio files, noise reduction and other editor again.The short-time energy voiced distinguish between standard and can be used as a clear voice starting point judgement.Short-time zero crossing ratio can be used as a judgment audio segment and silent segment and extract speech signal background noise.)