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Description: Routine marburg: To estimate the AR parameters by Burg algorithm.
Input Parameters:
n : Number of data samples
ip : Order of autoregressive process
x : Array of complex data samples x(0) through x(n-1)
Output Parameters:
ep : Real variable representing driving noise variance
a : Array of complex AR parameters a(0) to a(ip)
ierror=0 : No error
=1 : ep<=0 .
ef : complex work array. ef[0] to ef[n-1]
eb : complex work array. eb[0] to eb[n-1]
in chapter 12-Routine marburg: To estimate the AR parameters by Burg algorithm. Input Parameters: n: Number of data samples ip: Order of autoregressive process x: Array of complex data samples x (0) through x (n-1) Output Parameters: ep: Real variable representing driving noise variance a: Array of complex AR parameters a (0) to a (ip) ierror = 0: No error = 1: ep <= 0. ef: complex work array. ef [0] to ef [n-1] eb: complex work array. eb [0] to eb [n-1] in chapter 12
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Author: king_key |
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Description: 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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Size: 366592 |
Author: riverian |
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Description: Program to simulate Rayleigh fading using a p-th order autoregressive model AR(p) according to
％ Baddour s work: "Autoregressive modeling for fading channel simulation"-Program to simulate using Rayleigh fading a p-th order autoregressive model AR (p) accord % ing to Baddour's work : "autoregressive modeling for fading channel's imulation "
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Author: cqj |
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Description: This paper deals with the problem of speech enhancement when a
corrupted speech signal with an additive colored noise is the only
information available for processing. Kalman filtering is known as
an effective speech enhancement technique, in which speech signal
is usually modeled as autoregressive (AR) process and represented
in the state-space domain.-This paper deals with the problem of speech enhancement when a corrupted speech signal wit h an additive colored noise is the only informat ion available for processing. Kalman filterin g is known as an effective speech enhancement te chnique. in which speech signal is usually modeled as aut oregressive (AR) process and represented in th e state-space domain.
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Author: rifer |
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Description: 卡尔曼滤波是一种高效率的递归滤波器(自回归滤波器), 它能够从一系列的不完全包含噪声的测量(英文:measurement)中，估计动态系统的状态。 -Kalman Filter is a highly efficient recursive filter (autoregressive filter), It can complete a series of noise measurements included (in English : measurement). Dynamic System estimated the state.
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Size: 1024 |
Author: 秦露妮 |
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Description: Rayleigh 信道仿真模型 参考"Autoregressive modeling for fading channel simulation", IEEE Transaction on Wireless Communications, July 2005. -Rayleigh channel simulation model reference Autoregressive modeling for fading channel simulation , IEEE Transaction on Wireless Communications, July 2005.
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Author: 余江 |
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Description: ARMA模型时间序列分析法简称为时序分析法，是一种利用参数模型对有序随机振动响应数据进行处理，从而进行模态参数识别的方法。参数模型包括AR自回归模型、MA滑动平均模型和ARMA自回归滑动平均模型。这里给出了一个求出ARMA模型参数的MATLAB程序。-ARMA model for time series analysis method referred to as time series analysis is a parametric model for the orderly use of random vibration data in response to treatment, thereby to carry out modal parameter identification method. Parameter model including the autoregressive AR model, MA model and ARMA moving average Autoregressive Moving Average Model. Here gives an ARMA model parameters are obtained MATLAB procedures.
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Size: 35840 |
Author: 宋知用 |
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Description: 用二阶自回归（AR2）模型估计信号的瞬时频率-Using second-order autoregressive (AR2) model estimates the instantaneous frequency signal
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Size: 1024 |
Author: 刘清艳 |
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Description: Program to simulate Rayleigh fading using a p-th order autoregressive model AR(p) according to Baddour s work: "Autoregressive modeling for fading channel simulation", IEEE Transaction on Wireless Communications, July 2005.-Program to simulate Rayleigh fading using a p-th order autoregressive model AR (p) according to Baddour s work: Autoregressive modeling for fading channel simulation , IEEE Transaction on Wireless Communications, July 2005.
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Size: 1024 |
Author: Feng |
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Description: 数据挖掘中的重要算法：自回归滑动平均时间序列算法，用于时序数据挖掘-An important data mining algorithms: autoregressive moving average time series algorithm for time series data mining
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Size: 4096 |
Author: wanghuaqiu |
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Description: 二阶自回归信号模型AR（2） 希望能对大家有用 献给大家了-Signal model of second-order autoregressive AR (2) useful for all of us hope that we all have had a dedicated
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Size: 97280 |
Author: fangxiao |
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Description: 采用自回归滑动模型进行风速时程的模拟，本程序主要是针对的Davenport谱-Using autoregressive moving model of the simulated wind speed time history, the program is mainly directed against the Davenport spectrum
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Size: 3072 |
Author: 李利孝 |
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Description: 运用自回归滑动平均模型进行预测的matlab
程序-The use of autoregressive moving average model to predict the matlab program
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Author: 史剑 |
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Description: 卡尔曼滤波器是一个“optimal recursive data processing algorithm（最优化自回归数据处理算法）”。对于解决很大部分的问题，他是最优，效率最高甚至是最有用的。他的广泛应用已经超过30年，包括机器人导航，控制，传感器数据融合甚至在军事方面的雷达系统以及导弹追踪等等。近年来更被应用于计算机图像处理，例如头脸识别，图像分割，图像边缘检测等等。-Kalman filter is an " optimal recursive data processing algorithm (optimal autoregressive data-processing algorithm)." To address the very most of the questions, he is the best, most efficient, if not the most useful. He has been widely used for more than 30 years, including robot navigation, control, sensor data fusion and even in military radar systems and missile tracking and so on. Recent years been applied to computer image processing, such as头脸recognition, image segmentation, image edge detection and so on.
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Author: 曲晓川 |
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Description: Autoregressive Markov Switching Model函数用于评估、仿真及预测自回归的马尔可夫转换模型。可以选择用于模型估计的分布函数。用于研究时间序列结构性变化，分析金融、股市乃至通货膨胀的研究-Autoregressive Markov Switching Model function for the assessment, simulation and forecasting autoregressive Markov switching model. Estimates for the model can choose the distribution function. Used to study structural changes in time series analysis of financial, stock exchange and inflation Research
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Author: lili |
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Description: matlab自回归马尔可夫转换模型仿真估计与预测-matlab autoregressive Markov switching model simulation estimates and projections
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Author: lisha |
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Description: this file has codes that describes how to ccmpute the signal spectrum , the power spectrum, how to calculate the autocorrelation sequence of a signal, how to calculate the autoregressive coeffecients of a signal,and how to reduce the noisy elements in a speech sample.
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Size: 4096 |
Author: pulkit sharma |
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Description: 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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Size: 8192 |
Author: Peter |
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Description: This toolbox is Automatic spectral analysis for Irregular sampling/Missing data, analysis of spectral subbands, Vector Autoregressive modeling and Detection. It requires ARMASA toolbox. This toolbox can be downloaded from the Matlab Central file exchange at www.mathworks.com.
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Size: 88064 |
Author: Morteza Babaee |
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Description: BAYESIAN ANALYSIS OF THRESHOLD AUTOREGRESSIVE
MOVING AVERAGE MODELS
By THELMA S´ AFADI
Federal University of Lavras, Brazil
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Author: yuliya |
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