Stell-detection

说明：  voicebox语音处理matlab工具箱【1】(VoiceBox voice processing toolbox matlab [1])

实现数字灰度图像分割实现数字灰度图像分割实现数字灰度图像分割(Digital gray images digital gray images digital gray images)

ask调制模块，matlab，m文件，用m文件写的ask调制的模块(ask modulation module, matlab, m file, m file to write the module ask modulation)

这是一个matlab周期图法与BT算法的仿真代码(This is the periodogram and BT algorithms in a Matlab simulation code)

back facing step solver

video analisys aplication note

root_MUSIC、BT等算法的Matlab实现，简单易懂，对于了解该算法很有帮助(The C code of root_music in Matlab.It is a good way to learn them)

HIV 传染病模型 matlab homework

wav文件读取。包括产生幅度，相位，过零率。内附程序和报告书。(wav file to read. Including the generation of amplitude, phase, zero crossing rate. Enclosing the process and report.)

JLAB is a set of Matlab functions I have written or co-written over the past fifteen years for the purpose of analyzing data. It consists of four hundred m-files spanning thirty thousand lines of code. JLAB includes functions ranging in complexity from one-line aliases to high-level algorithms for certain specialized tasks. These have been collected together and made publicly available for you to use, modify, and --- subject to certain very reasonable constraints --- to redistribute. Some of the highlights are: a suite of functions for the rapid manipulation of multi-component, potentially multi-dimensional datasets a systematic way of dealing with datasets having components of non-uniform length tools for fine-tuning figures using compact, straightforward statements and specialized functions for spectral and time / frequency analysis, including advanced wavelet algorithms developed by myself and collaborators. (JLAB is a set of Matlab functions I have written or co-written over the past fifteen years for the purpose of analyzing data. It consists of four hundred m-files spanning thirty thousand lines of code. JLAB includes functions ranging in complexity from one-line aliases to high-level algorithms for certain specialized tasks. These have been collected together and made publicly available for you to use, modify, and--- subject to certain very reasonable constraints--- to redistribute. Some of the highlights are: a suite of functions for the rapid manipulation of multi-component, potentially multi-dimensional datasets a systematic way of dealing with datasets having components of non-uniform length tools for fine-tuning figures using compact, straightforward statements and specialized functions for spectral and time/frequency analysis, including advanced wavelet algorithms developed by myself and collaborators. )