搜索资源列表
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An AutoRegressive Moving Average Spectral Analysis toolbox for use with Matlab.-An AutoRegressive Moving Average Spectra l Analysis toolbox for use with Matlab.
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Simple VaR Calculator provides:
- Evaluation of return distribution of single asset or portfolio of assets
- Volatility forecasts using moving average and exponential algorithm
- Value at Risk of single asset or portfolio measurement
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matlab的运动目标分割 车辆检测 平均建模背景差分-Moving object segmentation matlab Vehicle Detection average difference modeling background
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NDNANFILTER N维零相位数字滤波器,忽略NaN的。
短语法:
[年,钨] = ndnanfilter(十,HWIN,女)
短输入:
X - 有/无NaN的多维数据。
HWIN - 窗口的名称(默认情况下移动平均的Nd: rectwin )。
的F - 向量指定为每个维窗口半宽度。
短暂输出:
Ÿ - 过滤/平滑X数据与零相移(如X!一样大小)。
W - N维是通过一种特殊的子函数生成的中心对称的窗口称为
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振动信号预处理方法---五点滑动平均法平滑处理,matlab程序-Vibration signal preprocessing method--- five-point moving average smoothing, matlab program
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Moving average filter in matlab
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股票时间序列拟合算法,包括简单移动平均,加权移动平均等利用matlab实现-Stock time series fitting algorithms, including simple moving average, weighted moving average and so the use of matlab to achieve
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基于消除趋势项法的振动信号预处理研究.在MATLAB环境中对基于消除趋势项法的振动信号预处理的实例仿真分析。有 最小二乘法去趋势;正弦信号去趋势和滑动平均法等-In the MATLAB environment to eliminate the instance of the trend of the vibration signal preprocessing based on simulation analysis based on the signal preprocessing to e
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需求预测算法,时间序列中移动平均算法.matlab编写,代码全. 待整理-Demand forecasting algorithm, time series moving average algorithm Matlab to write code for the whole to be processed
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一个基于Matlab/Simulink建模的算法:Trigger. Trigger使用移动平均和匹配滤波器对原始信号进行噪声处理和信号峰值提取,并验证原始信号的正确性。Trigger使用M-code实现,并且使用S-function封装到Simulink中。-An algorithm based on Matlab/Simulink modeling: Trigger. Trigger moving average and the matched filter noise processing
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卡夫曼自适应移动平均线MATLAB代码
SMA:Simple MA 简单平均线
EMA:Exp MA指数平均线
AMA:Adaptive MA 卡夫曼自适应移动平均
算法过程
卡夫曼自适应移动平均算法过程整理
对比测试代码(测试数据使用HS300指数,数据直接从Yahoo上下载):-Kaufman adaptive moving average MATLAB code
SMA: Simple MA Simple Average
EMA: Ex
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Moving Average Matlab Code
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本代码是在用MATLAB做预测时用到的,分别为预测模型为移动平均值模型、指数平滑预测法、季节指数预测法-This code is used when using MATLAB to do prediction, forecasting model respectively for the moving average model and exponential smoothing prediction method
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计算移动平均hurt指数,用MATLAB的程序代码,适合初学者(Moving average hurt index)
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自己开发的一套适用于期货的回测系统,包含布林带和均线策略,回测数据来源于wind(A set of futures regression testing systems developed by China including Bollinger Bands and moving average strategies, and the data back from wind)
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matlab程序实现滑动平均滤波(MAF)(Moving average filtering (MAF) implemented by MATLAB program)
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sinusoidal signal witha a moving average value theroem
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sinusoidal signal witha a moving average value theroem different
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ARIMA模型全称为自回归积分滑动平均模型(Autoregressive Integrated Moving Average Model,简记ARIMA),是由博克思(Box)和詹金斯(Jenkins)于70年代初提出一著名时间序列预测方法[1] ,所以又称为box-jenkins模型、博克思-詹金斯法。其中ARIMA(p,d,q)称为差分自回归移动平均模型,AR是自回归, p为自回归项; MA为移动平均,q为移动平均项数,d为时间序列成为平稳时所做的差分次数。所谓ARIMA模型,是指将非平稳
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自回归移动平均模型(Autoregressive Integrated Moving Average Model)的Matlab实现,时间序列分析代码((Autoregressive moving average model (Autoregressive Integrated Moving Average Model) to achieve the Matlab))
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