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.

Abstract: Methods and systems for obtaining data from a number of distributed sources.

Abstract: An image, whether compressed or uncompressed, can be transmitted via a fading communication channel to provide at the receiver an image of good perceptual quality despite the impaired channel. Diversity improves wireless transmission by using highly uncorrelated signal paths to combat channel noise. The apparatus and method of the present invention operates in the wavelet domain by using the properties of the original image or its wavelet transform. For an uncompressed image, one computes the two-dimensional wavelet transform of the source image and scalar quantizes the resulting wavelet coefficients. These coefficients are transmitted as a wireless bit stream with diversity to obtain multiple copies of the decomposed image data. At the receiver, the coefficients of the individual decomposed images are combined to form a composite wavelet transform. The final received image is reconstructed from the composite transform.

Abstract: An image, whether compressed or uncompressed, can be transmitted via a fading communication channel to provide at the receiver an image of good perceptual quality despite the impaired channel. Diversity improves wireless transmission by using highly uncorrelated signal paths to combat channel noise. The apparatus and method of the present invention operates in the wavelet domain by using the properties of the original image or its wavelet transform. For an uncompressed image, one computes the two-dimensional wavelet transform of the source image and scalar quantizes the resulting wavelet coefficients. These coefficients are transmitted as a wireless bit stream with diversity to obtain multiple copies of the decomposed image data. At the receiver, the coefficients of the individual decomposed images are combined to form a composite wavelet transform. The final received image is reconstructed from the composite transform.