Noise Estimation in CMB Time-Streams and Fast Iterative Map-Making

2006 ◽  
pp. 421-427 ◽  
Author(s):  
S. Prunet ◽  
P. A. R. Ade ◽  
J. J. Bock ◽  
J. R. Bond ◽  
J. Borrill ◽  
...  
Keyword(s):  
Noise Estimation

Energy Detection Based Estimation of Channel Occupancy Rate with Adaptive Noise Estimation

2012 ◽  
Vol E95-B (4) ◽  
pp. 1076-1084 ◽  
Author(s):  
Janne J. LEHTOMÄKI ◽  
Risto VUOHTONIEMI ◽  
Kenta UMEBAYASHI ◽  
Juha-Pekka MÄKELÄ
Keyword(s):  
Energy Detection ◽  
Noise Estimation ◽  
Occupancy Rate ◽  
Adaptive Noise ◽  
Channel Occupancy

Noise estimation and reduction for chaotic time series by wavelet variance decomposition

2013 ◽  
Vol 33 (3) ◽  
pp. 890-895
Author(s):  
Tengfei HUANG ◽  
Bangyi LI ◽  
Jixia XIONG
Keyword(s):  
Time Series ◽  
Variance Decomposition ◽  
Chaotic Time Series ◽  
Noise Estimation ◽  
Wavelet Variance

scholarly journals Speech Intelligibility Prediction Intended for State-of-the-Art Noise Estimation Algorithms

2014 ◽  
Vol 7 (2) ◽  
pp. 296-302
Author(s):  
Nasir Saleem ◽  
Sher Ali ◽  
Ehtasham Mustafa ◽  
Usman Khan
Keyword(s):  
Speech Intelligibility ◽  
State Of The Art ◽  
Noise Estimation ◽  
Estimation Algorithms

Digital Image Noise Estimation Using DWT Coefficients

2021 ◽  
Vol 30 ◽  
pp. 1962-1972
Author(s):  
Varad A. Pimpalkhute ◽  
Rutvik Page ◽  
Ashwin Kothari ◽  
Kishor M. Bhurchandi ◽  
Vipin Milind Kamble
Keyword(s):  
Digital Image ◽  
Image Noise ◽  
Noise Estimation

scholarly journals Binaural LCMV Beamforming With Partial Noise Estimation

2020 ◽  
Vol 28 ◽  
pp. 2942-2955
Author(s):  
Nico Gosling ◽  
Elior Hadad ◽  
Sharon Gannot ◽  
Simon Doclo
Keyword(s):  
Noise Estimation

Improved exponential weighted moving average based measurement noise estimation for strapdown inertial navigation system/doppler velocity log integrated system

2020 ◽  
pp. 1-21
Author(s):  
Lanhua Hou ◽  
Xiaosu Xu ◽  
Yiqing Yao ◽  
Di Wang ◽  
Jinwu Tong
Keyword(s):  
Kalman Filter ◽  
Inertial Navigation System ◽  
Moving Average ◽  
Integrated System ◽  
Measurement Noise ◽  
Noise Estimation ◽  
Doppler Velocity ◽  
Forgetting Factor ◽  
Exponential Weighted Moving Average ◽  
Weighted Moving Average

Abstract The strapdown inertial navigation system (SINS) with integrated Doppler velocity log (DVL) is widely utilised in underwater navigation. In the complex underwater environment, however, the DVL information may be corrupted, and as a result the accuracy of the Kalman filter in the SINS/DVL integrated system degrades. To solve this, an adaptive Kalman filter (AKF) with measurement noise estimator to provide noise statistical characteristics is generally applied. However, existing methods like moving windows (MW) and exponential weighted moving average (EWMA) cannot adapt to a dynamic environment, which results in unsatisfactory noise estimation performance. Moreover, the forgetting factor has to be determined empirically. Therefore, this paper proposes an improved EWMA (IEWMA) method with adaptive forgetting factor for measurement noise estimation. First, the model for a SINS/DVL integrated system is established, then the MW and EWMA based measurement noise estimators are illustrated. Subsequently, the proposed IEWMA method which is adaptive to the various environments without experience is introduced. Finally, simulation and vehicle tests are conducted to evaluate the effectiveness of the proposed method. Results show that the proposed method outperforms the MW and EWMA methods in terms of measurement noise estimation and navigation accuracy.

Pre-route noise estimation in deep submicron integrated circuits

2003 ◽  
Author(s):  
M.R. Becer ◽  
D. Blaauw ◽  
R. Panda ◽  
I.N. Hajj
Keyword(s):  
Integrated Circuits ◽  
Deep Submicron ◽  
Noise Estimation
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