wierlesscommunicationfpgadesignmatlabverilogcode

Economic load dispatch using genetic algorithm source code

qrs波算法，一个用maltab写的简单的算法。确定q,r,s的位置。(ECG SIMULATION USING MATLAB)

Least Square Parameter Estmiation System Identification - Calculate expection value & variance of parameter estimators(teta_hat) ... for different random noise variance & different input signals - FUM university

matlab函数查询，非常齐全，集合了多本书，全中文(the matlab function and very complete collection of multi-book, the whole Chinese)

自己编写的一个随动系统的kalman滤波模型(I have written a servo system of the kalman filter model)

说明：  利用害明滤波器对白噪声信号进行加权,提高信噪比(Filter with the use of harm-ming weighted noise signal to improve signal to noise ratio)

prony算法的定阶程序，很有用的，适合搞prony拟合相关算法的研究人员参考(a precess of order deceside of prony)

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. )

the update data figure of nn net in signal processing, and it is the matlab code

matlab code for SVM Demo