A noise-filtering method using a local information measure

1997 ◽  
Vol 6 (6) ◽  
pp. 879-882 ◽  
Author(s):  
A. Beghdadi ◽  
A. Khellaf
Keyword(s):  
Local Information ◽  
Information Measure ◽  
Noise Filtering ◽  
Filtering Method

An FIR-Embedded Noise Filtering Method for $\Delta \Sigma$ Fractional-N PLL Clock Generators

2009 ◽  
Vol 44 (9) ◽  
pp. 2426-2436 ◽  
Author(s):  
Xueyi Yu ◽  
Yuanfeng Sun ◽  
Woogeun Rhee ◽  
Zhihua Wang
Keyword(s):  
Noise Filtering ◽  
Filtering Method ◽  
Delta Sigma ◽  
Clock Generators

In Coherent Scenes an Uncorrelated Noise Filtering Method for DOA Estimation at Low SNR

2012 ◽  
Vol 546-547 ◽  
pp. 862-867
Author(s):  
Chang He Yu ◽  
Jian Li Li
Keyword(s):  
Signal Processing ◽  
Signal To Noise Ratio ◽  
Doa Estimation ◽  
Noise Power ◽  
Noise Filtering ◽  
Signal Processing Algorithm ◽  
Uncorrelated Noise ◽  
Filtering Method ◽  
Low Snr ◽  
Actual Signal

As we all know, noise always exists in any actual signal processing systems; its strength largely determines the working performance of one signal processing algorithm. Once the noise power is higher, many classical algorithms will lose the ability of the solution. In this paper, we propose a novel robust uncorrelated noise filtering method for direction of arrival (doa) estimation at low signal-to-noise ratio (snr) in coherent environment. Under the assumption of uncorrelated noise the proposed method can remove the uncorrelated noise variances from an array covariance matrix effectively. The characteristics of signal coherency structures and the simulation results using the novel method are presented.

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