An AutoRegressive Moving Average Spectral Analysis toolbox for use with Matlab.
标签： AutoRegressive Analysis Spectral Average
上传时间： 2014-01-17
上传用户：yepeng139
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"
标签： AutoRegressive according simulate Rayleigh
上传时间： 2013-12-02
上传用户：tb_6877751
Generates Rayleigh fading processes based on AutoRegressive models.
标签： AutoRegressive Generates processes Rayleigh
上传时间： 2015-12-06
上传用户：无聊来刷下
Rayleigh 信道仿真模型 参考"AutoRegressive modeling for fading channel simulation", IEEE Transaction on Wireless Communications, July 2005.
标签： AutoRegressive Transaction simulation Rayleigh
上传时间： 2016-03-15
上传用户：zwei41
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
标签： AutoRegressive Switching Markov Model
上传时间： 2013-12-26
上传用户：huql11633
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.
标签： speech with enhancement corrupted
上传时间： 2015-09-07
上传用户：zhangyi99104144
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.
标签： speech enhancement corrupted problem
上传时间： 2013-12-20
上传用户：569342831
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.
标签： spectrum describes how the
上传时间： 2017-07-23
上传用户：金宜
