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Description: 函数ARMA(data, p, q)， 纯java代码。
里面有main函数，可以直接测试。
根据教科书的c++代码改的java代码。
只有一个文件，使用非常方便。
（注：这个代码应该不好找，因为matlab的armax转换成jar包是无法使用的，JSML又不是开源的）
对于想用java实现arma的程序员无疑还是很有用的。
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Size: 6424 |
Author: disheng222 |
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Description: 随机信号处理AR自回归模型，谱分析的一种重要方法-Random signal processing AR auto-regressive model, spectral analysis of an important method
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Size: 1024 |
Author: sst |
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Description: 本文介绍的是自回归模型的实际中的运用，对于理解该模型很有用-This article describes the auto-regressive model of the actual use of the model for understanding the very useful
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Size: 19456 |
Author: 彪哥 |
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Description: 在matlab的环境下实现了自回归移动平均模型（arima）-Matlab environment in the realization of the auto-regressive moving average model (arima)
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Size: 1024 |
Author: xiongtao |
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Description: 基于受控自回归积分滑动平均 (CARIMA)模型控对象的预测控制程序-Points based on the controlled auto-regressive moving average (CARIMA) Model Predictive Control control procedures
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Author: swift |
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Description: Convert a vector auto-regressive model of order k to state-space form
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Size: 1024 |
Author: 李松寒 |
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Description: Embeddded C Code for Tiger SHARC Processor. performs LMS Auto Regressive Power Sprectral Density Estimation
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Size: 83968 |
Author: Sahida |
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Description: MATLAB Code for Parametric Method of Spectrum estimatin. using Auto Regressive Method, Both levinson Durbin recursion and yule waker method,
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Size: 2048 |
Author: Sahida |
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Description: Auto regressive image interpolation
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Size: 9216 |
Author: athira t p |
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Description: Bayesian Analysis of smooth transition auto-regressive models
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Size: 41984 |
Author: es |
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Description: 本文针对摄像机运动情况下的多目标跟踪问题，提出了基于粒子滤波的跟踪算法。在粒子滤波算法基础上，将二阶自回归过程作为系统状态转移模型，HSV 颜色直方图作为观测模型，对视频中多个目标的位置、大小进行跟踪。实验结果表明，该算法能实时正确地跟踪多个目标，并对局部遮挡有较好的鲁棒性，也能在目标短暂消失导致跟踪失败后，在目标重新出现后及时捕获并继续进行跟踪。-A tracking algorithm based on particle filter is proposed to deal with multi-target tracking in a camera motion situation. In the
proposed algorithm, the position and scale of targets in the video are tracked by using a second-order auto-regressive process as the transition
model and an HSV histogram as the observation model. Experimental results show that the proposed algorithm can track multitarget
correctly in real-time and is robust to the partial occlusion. In addition, it can recover from tracking failure due to the target out of camera for a while.
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Size: 405504 |
Author: wenping |
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Description: ARMA model is auto-regressive Moving Average model in statistical signal processing.
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Size: 1024 |
Author: Rumi |
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Description: auto regressive model in freqquency domain
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Size: 192512 |
Author: smail |
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Description: Auto Regressive Model
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Size: 3072 |
Author: shareef |
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Description: Nonstationary signal analysis one of the main topics in the field of machinery fault diagnosis.Time-frequency analysis can identify the signal frequency components,
reveals their time variant features,and is an effective tool to extract machinery health information contained innonstationary signals.Various time-frequency analysis methods have been proposed and applied to machinery fault diagnosis.These include linear and bilineartime–frequency representations(e.g.,wavelet transform,Cohen and affine class distributions),adaptive parametric time-frequency an alysis(basedonatomic decomposition and time-frequency auto regressive moving average models),adaptive
non-parametric time–frequencyanalysis-Nonstationary signal analysis is one of the main topics in the field of machinery fault diagnosis.Time-frequency analysis can identify the signal frequency components,
reveals their time variant features,and is an effective tool to extract machinery health information contained innonstationary signals.Various time-frequency analysis methods have been proposed and applied to machinery fault diagnosis.These include linear and bilineartime–frequency representations(e.g.,wavelet transform,Cohen and affine class distributions),adaptive parametric time-frequency an alysis(basedonatomic decomposition and time-frequency auto regressive moving average models),adaptive
non-parametric time–frequencyanalysis
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Size: 5284864 |
Author: 唐建 |
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Description: 对于自回归滑动平均模型进行参数辨识，并对白噪声进行方差估计。运算结果具有良好的收敛性，可推广为模型辨识的通式-For auto-regressive moving average model parameter identification, and white noise variance estimation. Operation result has a good convergence, can be extended to model identification formula
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Size: 1024 |
Author: jy |
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Description: Auto-regressive (AR) Process is utilized to generate AR signal
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Size: 1024 |
Author: latif |
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Description: 使用四种方法实现对轴承振动数据的自回归谱（AR）分析，并带有数据-Using four methods to realize auto regressive (AR) analysis of the bearing vibration data, and have the data
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Size: 1152000 |
Author: 黄刘军 |
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Description: KARDIA was developed in Matlab programming language and runs on
recent Matlab releases (2007 or later) on all supported operating systems
(Mac OS X, Unix and Windows). KARDIA allows interactive importing
and visualization of both IBI data and event-related information. Available
functions permit the analysis of phasic heart rate changes in response to
specific visual or auditory stimuli, using either weighted averages or
different interpolation methods (constant, linear, spline) at any user-defined analysis window or sampling rate. KARDIA also provides the user
with functions to calculate all commonly used time-domain statistics of
heart rate variability and to perform spectral decomposition by using either
Fast Fourier Transform or auto-regressive models. Scaling properties of
the IBI series can also be assessed by means of Detrended Fluctuation
Analysis. Quantitative results can be easily exported in Excel and Matlab
format for further statistical analysis.
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Size: 20480 |
Author: salar2 |
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Description: 基于先进信号预处理和自回归建模的滚动轴承故障诊断方法-A fault diagnosis methodology for rolling element bearings based on advanced signal pretreatment and auto regressive modelling
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Size: 2052096 |
Author: su |
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