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simulation-PV--PHOTON
A. Mermoud, ISE, University of Geneva Note about PHOTON PV software survey
Note on the sensor s calibration at three sites in Northern Germany used for PHOTON
magazin s comparison of photovoltaic simulation softwares.
Pierre Ineichen, ISE, University of Geneva, May 2011
- 2014-12-10 22:29:56下载
- 积分：1
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chanEst
Matlab code for Channel Estimation
- 2009-10-09 07:44:08下载
- 积分：1
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watermarketing
基于dwL的数宇水印程序，，一维离散小波变换(dwL based on the number of buildings watermarking procedure, a peacekeeping DWT)
- 2007-04-24 16:36:10下载
- 积分：1
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cmopso
典型的多目标粒子群算法（CMOPSO)，附测试函数,注解详细，适合学习参考(A typical multi-objective particle swarm optimization (CMOPSO), attached to the test function, annotation detailed reference for learning)
- 2013-11-30 10:40:24下载
- 积分：1
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NSGA_II
通过遗传算法实现卫星网络中继卫星资源调度的相关代码(Satellite network by genetic algorithm to achieve satellite resource scheduling related code)
- 2020-12-14 08:29:15下载
- 积分：1
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Time-Series-and-white-noise
时间序列应用实例:时间序列分解，一次直线回归于预测检验(Application examples of the time series: time series decomposition, a linear regression prediction test)
- 2013-03-22 13:14:01下载
- 积分：1
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airxsfra
music高阶谱分析算法，用MATLAB实现的压缩传感，包括AHP，因子分析，回归分析，聚类分析，包含了阵列信号处理的常见算法，模拟数据分析处理的过程，含噪脉冲信号进行相关检测,IDW距离反比加权方法。( music higher order spectral analysis algorithm, Using MATLAB compressed sensing, Including AHP, factor analysis, regression analysis, cluster analysis, Contains a common array signal processing algorithm, Analog data analysis processing, Noisy pulse correlation detection signal, IDW inverse distance weighting method.)
- 2016-04-02 22:01:01下载
- 积分：1
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趋势EA
说明： 趋势EA，不加仓，不网格，每单都带止损止盈，加载周期30分(Trend EA, no warehousing, no grid, stop-loss and stop-profit for each single, loading cycle 30)
- 2020-06-25 10:00:01下载
- 积分：1
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FIRFilter
通过对语音信号的采集和AD50数模转换实现语音信号的处理，并通过C54试验台可以很好的实现语音再现。FIR数据滤波数据需要通过MATLAB来实现。(Through the acquisition and AD50 voice signal digital-analog conversion of voice signal processing, and through the C54 test bed can be a very good voice reproduction. FIR data filtering data to achieve through MATLAB.)
- 2010-05-27 16:22:54下载
- 积分：1
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PCA_tutorial
This tutorial is designed to give the reader an understanding of Principal Components
Analysis (PCA). PCA is a useful statistical technique that has found application in
fields such as face recognition and image compression, and is a common technique for
finding patterns in data of high dimension.
Before getting to a description of PCA, this tutorial first introduces mathematical
concepts that will be used in PCA. It covers standard deviation, covariance, eigenvectors
and eigenvalues. This background knowledge is meant to make the PCA section
very straightforward, but can be skipped if the concepts are already familiar.
- 2014-10-09 05:08:06下载
- 积分：1
