An Autoregressive Moving Average Spectral Analysis toolbox for use with Matlab.
標簽： Autoregressive Analysis Spectral Average
上傳時間： 2014-01-17
上傳用戶：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"
標簽： Autoregressive according simulate Rayleigh
上傳時間： 2013-12-02
上傳用戶：tb_6877751
Generates Rayleigh fading processes based on Autoregressive models.
標簽： Autoregressive Generates processes Rayleigh
上傳時間： 2015-12-06
上傳用戶：無聊來刷下
Rayleigh 信道仿真模型 參考"Autoregressive modeling for fading channel simulation", IEEE Transaction on Wireless Communications, July 2005.
標簽： Autoregressive Transaction simulation Rayleigh
上傳時間： 2016-03-15
上傳用戶：zwei41
Autoregressive Markov Switching Model函數用于評估、仿真及預測自回歸的馬爾可夫轉換模型?？梢赃x擇用于模型估計的分布函數。用于研究時間序列結構性變化，分析金融、股市乃至通貨膨脹的研究
標簽： Autoregressive Switching Markov Model
上傳時間： 2013-12-26
上傳用戶：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.
標簽： speech with enhancement corrupted
上傳時間： 2015-09-07
上傳用戶：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.
標簽： speech enhancement corrupted problem
上傳時間： 2013-12-20
上傳用戶：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.
標簽： spectrum describes how the
上傳時間： 2017-07-23
上傳用戶：金宜
