Optimized Stochastic Resonance Method for Signal Detection and Image Processing
First Claim
Patent Images
1. A method of increasing the probability of detecting at least one signal embedded in non-Gaussian noise, said method comprising the steps of:
- (a) recording an observed data process;
(b) calculating stochastic resonance noise; and
(c) adding said stochastic resonance noise to said data, thereby improving the detection of said at least one signal in said non-Gaussian noise.
1 Assignment
0 Petitions
Accused Products
Abstract
Apparatus and method for improving the detection of signals obscured by noise using stochastic resonance noise. The method determines the stochastic resonance noise probability density function in non-linear processing applications that is added to the observed data for optimal detection with no increase in probability of false alarm. The present invention has radar, sonar, signal processing (audio, image and video), communications, geophysical, environmental, and biomedical applications.
-
Citations
12 Claims
-
1. A method of increasing the probability of detecting at least one signal embedded in non-Gaussian noise, said method comprising the steps of:
-
(a) recording an observed data process;
(b) calculating stochastic resonance noise; and
(c) adding said stochastic resonance noise to said data, thereby improving the detection of said at least one signal in said non-Gaussian noise. - View Dependent Claims (2, 3, 4, 5, 6, 7)
-
-
8. A method in reducing the probability of error in non-Gaussian noise, comprising the steps of:
-
recording an observed data process;
determining stochastic resonance noise; and
adding stochastic resonance noise to the data of the recorded data process. - View Dependent Claims (9, 10, 11)
-
-
12. A method of evaluating functions
-
( f 0 ) , ⅆ J ⅆ f 0 , comprising the steps of;
solving the equation x=F0−
1(ƒ
0) for any ƒ
0;
obtaining the value of ƒ
1 by ƒ
1=F1(x);
solving and solving
-
Specification