IP Library Granted Patent US 9,131,915
Granted Patent B2
US 9,131,915 · App. 13/543,658 · Granted Sep 15, 2015

Method and apparatus for noise cancellation

Inventors: Mohsen Amiri Farahani (Fredericton, CA); Eduardo Castillo Guerra (Fredericton, CA); Bruce G. Colpitts (Fredericton, CA); Anthony W. Brown (Fredericton, CA)
Assignee: University of New Brunswick
A61B6/5258G01D5/35364A61B5/0402A61B5/725G01D3/032
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Quick Facts
Patent No.
US 9,131,915
App. No.
13/543,658
Granted
Sep 15, 2015
Kind
B2
Abstract

Method and apparatus of denoising recurrent signals comprising: providing first and second noisy signals each comprising a deterministic signal and (different realizations of) white noise; selecting one of the noisy signals as an input signal and the other noisy signal as a desired signal; providing an estimate of the deterministic signal in the input signal; determining the error between the estimated deterministic signal and the desired signal; adjusting the estimate of the deterministic signal using the error and producing an adjusted estimate of the deterministic signal.

Claims (15)

1. A method of denoising recurrent signals comprising:

providing first and second noisy signals each comprising a deterministic signal and a white noise;

selecting one of the noisy signals as an input signal and the other noisy signal as a desired signal;

providing an estimate of the deterministic signal in the input signal;

determining the error between the estimated deterministic signal and the desired signal;

adjusting the estimate of the deterministic signal using the error; and

producing an adjusted estimate of the deterministic signal.

2. The method of claim 1 wherein the white noise is a different realization of white noise.

3. The method of claim 1 wherein the white noise in the first signal is different from the white noise in the second signal.

4. The method of claim 1 wherein the step of adjusting of the deterministic signal is carried out by minimizing the error using a given criterion.

5. The method of claim 4 wherein the step of minimizing the error is carried out using an error minimization method selected from the group consisting of least mean squares, normalized least mean squares, recursive least squares, affine projection, fast affine projection, fast Newton transversal and Kalman.

6. The method of claim 1 wherein the noisy signals are recurrent signals.

7. The method of claim 6 wherein the recurrent signal is from an optical sensor.

8. The method of claim 7 wherein the optical sensor is an SBS sensor.

9. The method of claim 7 wherein the optical sensor is a BOTDA sensor.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 12, 2012
From: AMIRI FARAHANI, MOHSEN; GUERRA, EDUARDO CASTILLO; COLPITTS, BRUCE G.; BROWN, ANTHONY W.
To: UNIVERSITY OF NEW BRUNSWICK
Reel/Frame 028946/0283 →
Continuity (2)
Provisional Application 61504879 · Jul 6, 2011
Related Publication 20130011144A1 · Jan 10, 2013