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. Platform: |
Size: 102400 |
Author:rifer |
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Description: function Colored(flag, corr)
Kalman filter simulation with colored (time correlated) measurement noise.
INPUTS:
flag = 0 means ignore the time correlation of the measurement noise
1 means augment the system state
2 means use the Bryson/Henrikson approach
corr = magnitude of measurement noise correlation <= 1-function Colored(flag, corr)
Kalman filter simulation with colored (time correlated) measurement noise.
INPUTS:
flag = 0 means ignore the time correlation of the measurement noise
1 means augment the system state
2 means use the Bryson/Henrikson approach
corr = magnitude of measurement noise correlation <= 1 Platform: |
Size: 39936 |
Author:ck |
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Description: 采用卡尔曼滤波器滤除语音信号中的有色噪声，采用Matlab实现，并给出了实例-Kalman filter to filter the speech signal colored noise, using Matlab to achieve, and gives an example Platform: |
Size: 119808 |
Author:hezhiyong |
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Description: Colored-Noise Kalman Filter for Vibration Mitigation of Position Attitude Estimation Systems Platform: |
Size: 2338816 |
Author:sh |
Hits:
Search - kalman filter colored noise