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Published byJaylan Phippen
Modified over 3 years ago
Adaptive Noise Cancellation: A Panacea M.Evans, R. Adhikari
The Concept 5000 Channels 1 GW Channel Signal = DARM - noise
Wiener Filter Input Signal (PEM) Covariance Matrix Norbert Wiener, MIT Block Toeplitz Cross Correlation Matrix
Wiener Filter Sim H1 & L1 DARM (S5) All Guralp & STS2 Vault not used Requires ~9 GB RAM Levinson-Durbin H1 L1 x10 x7
Adaptive Filtering / Neural Network Keenan Pepper Elena Gasparri LMS Algorithm (1st chapter of textbooks)
Filtered-X LMS Edwards, Thesis (declassified) Naval Research Postgraduate School
Applications Seismic Noise (0 - 40 Hz) Upconversion Lock Acquisition Bilinear (Crab shoulder) Acoustic Noise (50-900 Hz) Magnetic (power lines) H1/H2 correlation MICH/PRC/SRC
From LMS to Filtered-X LMS FIR Adapt Noise Witness Noisy Signal Cleaner Signal
From LMS to Filtered-X Injecting into a high gain servo loop FIR Adapt Noise Witness Total Control Signal Servo Control Signal G
From LMS to Filtered-X Separated Actuators Special case of “Filtered X- LMS” FIR Adapt Noise Witness Total Control Signal Servo Control Signal A1 G A2 C
At the 40m Test on input mode- cleaner FIR Adapt Seismic Sensors MC Length MC_L MC2 G MC1 C
At the 40m
And more !
Acoustic Echo Cancellation for Low Cost Applications
8/13/2004 Stefan Ballmer, MIT / LIGO Hanford 1 Length and angular control loops in LIGO Stefan Ballmer Massachusetts Institute of Technology LIGO Hanford.
E2 Correlations Nelson Christensen Carleton College LSC Detector Characterization LIGO-G Z.
LIGO - G R 1 HAM SAS Test Plan at LASTI David Ottaway November 2005 LIGO-G Z.
Global longitudinal quad damping vs. local damping Brett Shapiro Stanford University 1/32G v13 LIGO.
Adaptive Filters S.B.Rabet In the Name of GOD Class Presentation For The Course : Custom Implementation of DSP Systems University of Tehran 2010 Pages.
A Practical Guide to Troubleshooting LMS Filter Adaptation Prepared by Charles H. Sobey, Chief Scientist ChannelScience.com June 30, 2000.
ECE 8443 – Pattern Recognition ECE 8423 – Adaptive Signal Processing Objectives: The FIR Adaptive Filter The LMS Adaptive Filter Stability and Convergence.
Locking improvements after the end of VSR1 Gabriele Vajente for the Locking Group 14 th ILIAS WG1 meeting Cascina – March 6 th 2008.
1 S4 Environmental Disturbances Robert Schofield, U of O John Worden, Richard McCarthy, Doug Cook, Hugh Radkins, LHO Josh Dalrymple, SU I.Pre-S4 “fixes”
LIGO Student Investigations
S4 Environmental Disturbances Robert Schofield, U of O I.Pre-S4 “fixes” II.Some S4 veto issues III. Early coupling results from S4 PEM injections.
LIGO-G W Where Did the LSC Signals Come From? Fred Raab 27 June 02.
40m TAC, 10/13/05 1 Lock acquisition procedure towards detuned RSE Start with no DOFs controlled, all optics aligned. Re-align each 1.5 hours. ITMy ITMx.
LIGO- G060XXX-00-R E2E meeting, September How to design feedback filters? E2E meeting September 27, 2006 Osamu Miyakawa, Caltech.
AGC DSP AGC DSP Professor A G Constantinides© Acoustic Echo Canceller.
EE513 Audio Signals and Systems Wiener Inverse Filter Kevin D. Donohue Electrical and Computer Engineering University of Kentucky.
Adaptive Signal Processing
Adaptive Signal Processing Class Project Adaptive Interacting Multiple Model Technique for Tracking Maneuvering Targets Viji Paul, Sahay Shishir Brijendra,
Equalization in a wideband TDMA system
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