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Adaptive Mean-AutoRegressive-Moving-Average model estimation
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Calculates adaptive autoregressive (AAR) and adaptive autoregressive moving average estimates (AARMA)of real-valued data series using Kalman filter algorithm.
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Estimating Adaptive AutoRegressive-Moving-Average-and-mean model
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这是我自己编写的估计AR模型参数的M代码，利用的是LD算法，里面有注释，便于理解，值得推荐！-Calculates adaptive autoregressive
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Calculates adaptive autoregressive (AAR) and adaptive autoregressive moving average estimates (AARMA) of real-valued data series using Kalman filter algorithm.
REFERENCE:
A. Schloegl (2000), The electroencephalogram and the adaptive autoregre
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ARMA model
Calculates adaptive autoregressive (AAR) and adaptive autoregressive moving average estimates (AARMA)
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Calculates adaptive autoregressive Moving(AARMA) and adaptive autoregressive moving average estimates -Calculates adaptive autoregressive Moving(AARMA) and adaptive autoregressive moving average estimates
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针对户外视频监控存在光照变化这一问题, 提出一个用于准确完成目标检测的实时背景建模框架. 考虑到目标检测
的准确性要求, 建立基于帧间像素亮度差统计直方图的像素亮度扰动阈值. 在此基础上, 针对背景建模的实时性要求, 提出一种基于自回归背景模型的参数快速更新方法. 鉴于不同光照变化的适应性要求, 定义对光照变化不敏感的背景纹理模型. 上述模型统称为自回归{ 纹理(Auto regression and texture, ART) 模型, 该模型适应于户外光照变化. 基于该模型构建像素亮度和纹
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This code is about adaptive autoregressive. you can find AR coefficient.
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This code is about moving average and adaptive autoregressive. you can find AR Coefficient.
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Color-Guided Depth Recovery From RGB-D Data Using an Adaptive Autoregressive Model 这篇论文的源代码(source code of Color-Guided Depth Recovery From RGB-D Data Using an Adaptive Autoregressive Model)
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