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Description: This paper deals with the problem of speech enhancement when
only a corrupted speech signal is available for processing. Kalman
filtering is known as an effective speech enhancement technique,
in which speech signal is usually modeled as autoregressive (AR)
model and represented in the state-space domain.-This paper deals with the problem of speech enhancement when only a corrupted speech signa l is 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) model and represented in the s tate-space domain.
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Size: 245868 |
Author: rifer |
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Description: 这是用matlab编写的一个kalman滤波器，数字信号实验维纳滤波，估计AR模型参数-using Matlab is prepared by a Kalman filter, digital signal experimental Wiener filtering, AR model parameters estimated
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Size: 1488 |
Author: 胡迪 |
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Description: 本程序是AR(2)模型进行数据建模，再进行kalman滤波，进行数据去躁处理，尤其用在光纤陀螺上-AR (2) model for data modeling, further Kalman filtering, data processing to impatient, especially with the fiber gyro
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Size: 173056 |
Author: tongliuran |
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Description: This paper deals with the problem of speech enhancement when
only a corrupted speech signal is available for processing. Kalman
filtering is known as an effective speech enhancement technique,
in which speech signal is usually modeled as autoregressive (AR)
model and represented in the state-space domain.-This paper deals with the problem of speech enhancement when only a corrupted speech signa l is 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) model and represented in the s tate-space domain.
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Size: 245760 |
Author: rifer |
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Description: 这是用matlab编写的一个kalman滤波器，数字信号实验维纳滤波，估计AR模型参数-using Matlab is prepared by a Kalman filter, digital signal experimental Wiener filtering, AR model parameters estimated
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Size: 1024 |
Author: 胡迪 |
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Description: ua University, in 2002 publi
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Mailto US | Studio | Copyright Complaints
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Size: 712704 |
Author: wibisono |
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Description: 实现了数据从文件的输入，ar模型预测，arma模型预测，卡尔曼滤波器模型预测，利用图形用户界面编写-Realized the data from the file input, ar model predictions, arma model prediction, Kalman filter model predictions, using a graphical user interface for the preparation of
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Size: 12288 |
Author: 张迎 |
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Description: 基于Kalman滤波算法的自适应AR模型-Adaptive Kalman filtering algorithm based on AR model
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Size: 1024 |
Author: 王磊 |
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Description: 基于Kalman滤波算法的自适应AR模型，优点：算法收敛速度快；-Adaptive Kalman filtering algorithm based on AR model advantages: algorithm convergence speed
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Size: 1024 |
Author: 王磊 |
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Description: 自己编写的卡尔曼滤波算法算例，实现四阶AR模型的最优权值估计。-Kalman filter algorithm, for optimal weight estimating of fourth-order AR model.
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Size: 1024 |
Author: Qiyu He |
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Description: Exercise on kalman filter with model AR, ARMA, ecc.
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Size: 49152 |
Author: chiara |
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Description: AR模型参数估计，Kalman和Wiener滤波器设计-AR model parameter estimation, Kalman and Wiener filter design
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Size: 1024 |
Author: wangyin |
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Description: 基于卡尔曼算法的AR模型系数预测，利用卡尔曼滤波算法对AR模型的系数进行实时更新，可以观察到预测准确度有明显提高-Kalman algorithm based on AR model coefficients predicted using the Kalman filter AR model coefficients for real-time updates can be observed significantly improve prediction accuracy
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Size: 1024 |
Author: 月光下的路 |
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Description: 产生一个随机信号和两个不同频率但频率间隔很小的正弦信号，要求对两信号之和进行如下分析：
（1） 求该随机信号的自相关性系数、自相关函数，画出对应的图形；
（2） 利用不同的参数建模方法求出两个随机信号的功率谱；
（3） 利用极大似然估计、递推最小二乘法等常用的参数估计方法估计所建模型，包括AR模型、MA模型和ARMA模型的的参数，阶次自定；并与Matlab工具箱里的一些建模函数的运算结果进行比较；
（4） 利用陷波滤波和MUSIC滤波方法对该信号的频谱进行估计；
（5） 利用Wiener滤波、LMS滤波对该含噪声的正弦信号进行去噪声处理；
（6） 假设该信号是一个飞行器的某个方向的线位移信号，可否利用Kalman滤波对该信号进行滤波？
（7） 利用高阶谱理论对该信号进行谱估计和相应的AR模型、MA模型和ARMA模型估计；
（8） 利用小波变换（变换函数可以直接用Matlab里的函数）对该信号进行去噪声处理，并和前面的去噪声方法进行比较。
-Produce a random signal and two different frequency but frequency interval small sine signals, required to make the following analysis of two signals:
(1) for the random signal from the correlation coefficients, the autocorrelation function and draw the corresponding graphics
(2) make use of different parameters modeling method for out two random signal power spectrum
(3) using maximum likelihood estimation, recursive least square method and common parameters estimation method estimates that the model, including AR model, MA model and the parameters of the ARMA model we, order time decided oneself With Matlab toolbox and some of the modeling function is used compared the
(4) use trapped wave filter and MUSIC of the signal filter method of spectrum to estimate
(5) use Wiener filtering, LMS filtering on the sinusoidal signal with noise to noise treatment
(6) assumes the signal is a vehicle of a certain direction of displacement signal line, can you use Kalman filtering on the
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Size: 6144 |
Author: 李思青 |
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Description: arma 实现了数据从文件的输入，ar模型预测，arma模型预测，卡尔曼滤波器模型预测，利用图形用户界面编写-Realized the data from the file input, ar model predictions, arma model prediction, Kalman filter model predictions, using a graphical user interface for the preparation of-arma matlab实现了数据从文件的输入，ar模型预测，arma模型预测，卡尔曼滤波器模型预测，利用图形用户界面编写-Realized the data from the file input, ar model predictions, arma model prediction, Kalman filter model predictions, using a graphical user interface for the preparation of
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Size: 1024 |
Author: recoba |
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Description: AR自适应滤波器，用Kalman滤波器跟踪AR模型的吸收变化-adaptive AR model，use kalman filter to trace the variance of ar coeffience
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Size: 3072 |
Author: 彭小东 |
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Description: 卡尔曼滤波下的的ARMA、MA、AR模型，比较全面，特别适合初学者入门-Kalman filtering under the ARMA, MA, AR model, a more comprehensive, especially for beginners
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Size: 2048 |
Author: 林枫 |
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Description: matlab程序可以实现了数据从IjHwTMH文件的输入，ar模型预测，arma模型预测，卡尔曼滤波器模型预测，利用图形用户界面编写 ，可以调节NoqYtbl环境，测试通过。-Matlab program can realize the data input a IjHwTMH file. AR model prediction, ARMA model prediction and forecasting model Kalman filter using a graphical user interface written IjHwTMHl environment can be adjusted, the test.
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Size: 13312 |
Author: vquazh |
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Description: matlab程序可以实现了数据从VzTeFyv文件的输入，ar模型预测，arma模型预测，卡尔曼滤波器模型预测，利用图形用户界面编写 ，可以调节cmlbDSE环境，测试通过。-Matlab program can realize the data input a VzTeFyv file. AR model prediction, ARMA model prediction and forecasting model Kalman filter using a graphical user interface written VzTeFyvl environment can be adjusted, the test.
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Size: 4096 |
Author: ivbtdi |
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Description: matlab程序可以实现了数据从XzaMBSL文件的输入，ar模型预测，arma模型预测，卡尔曼滤波器模型预测，利用图形用户界面编写 ，可以调节BDZhNvs环境，测试通过。-Matlab program can realize the data input a XzaMBSL file. AR model prediction, ARMA model prediction and forecasting model Kalman filter using a graphical user interface written XzaMBSLl environment can be adjusted, the test.
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Size: 10240 |
Author: yjfsmw |
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