jsjq-flod-onlyone

matlab 用于介绍求解方程包含非线性方程和线性方程的方法(matlab about how to solute the noliner equation etc)

应用遗传算法对多目标问题的优化，matlab实现(Gne. algorithm)

CV模型，利用概率数据关联算法和最近邻算法对其进行跟踪滤波，保证正确(CV model, the probabilistic data association algorithm and the nearest neighbor filter algorithm to track and ensure the correct)

OFDM原理国外解释详细文档。及matlab实现。有时域、频域、相位、功率谱等图参照。(OFDM Principles of documents abroad, a more detailed explanation. And matlab implementation. Sometimes domain, frequency domain, phase, power spectra map reference.)

Reads TDMS files into Matlab. See TDMS_exampleFunctionCalls.m to get started. Advantages: - supports reading v2 files - doesn t require the NI DLL, thus it doesn t require 32bit windows - supports interleaved data - allows only reading names & properties to get a quick feel for what is in the file - Since streaming files can get large (many GB), allows only retrieving subsets of data via keep or ignore flags Doesn t yet support: - big endian files Doesn t support: - files with DAQmx data - files with unsupported Matlab data types (extended float, etc) I haven t written very many wrappers to change the output data into more traditional formats. I d appreciate any submissions of wrappers that people make (like my TDMS_dataToGroupChanStruct_v1 & v2). Thanks! If the function doesn t work for you please let me know.

对心电信号的经典处理，多种滤波器的设置，包含比较全面的源码和解释，并在matlab中仿真(Classic ECG processing, various filter settings, including source code and more comprehensive explanation and simulation in matlab)

太阳能扰动观察法MPPT-simulink仿真，包含太阳能电池仿真及MPPT控制( U592A u803.0 u803 u803 u03C0 uBc2 u5BDF u6CD5MPPT-simulink u4EFF u771F uFF0C u5305 u542B u592A u9633 u80FD u7535 u6C60 u4EFF u771F u53CAMPPT u63A7 u5236)

现行调频生成函数，直接运行即可，运行后可以生成LFM信号，并给出幅度频率图(FM existing generating function, can be directly run, run after the LFM signal can be generated, and gives the frequency range of Figure)

在Matlab平台开发的基于声音信号传输的无线计算器,需要2台电脑进行测试,测试时部分参数需要修改.(Developed in Matlab platform is based on the wireless audio signal transmission calculator, you need two computers to test, test some parameters need to be modified.)

This code uses MATLAB s Internal Functions and Memory Preallocations to apply a Fast Implementation of kmeans algorithm. This is a efficient code for clustering a gray or Color image or it can be used for clustering a Multidimensional Array. Comparison. 1. Faster than MATLAB s internal kmeans function. 2. Consistant Output than internal kmeans. 3. 100 convergence.