California Institute of Technology

University of Southern California

Bing J Sheu

Wai-Chi Fang

Theodore W Berger

Sa H Bang

The invention is embodied in an image data system including a lossy image compressor having an image compression ratio in excess of 10 for producing first compressed image data from an original image, the first compressed image data specifying a corresponding one of a set of predetermined images, apparatus for computing an difference between the original image and the predetermined image specified by the first compressed image data and a lossless image compressor for compressing at least the difference to produce second compressed image data.

Data compression neural network with winner-take-all function

An architecture and design of compact neural networks is presented for the maximum-likelihood sequence estimation (MLSE) of one-dimensional signals, such as sound, in digital communications. Optimization of a concave Lyapunov function associated with a compact neural network performs a combinatorial minimization of the detection cost, and truly paralleled operations in the analog domain are achievable via the collective computational behaviors. In addition, the MLSE performance can be improved by paralleled hardware annealing, a technique for obtaining optimal or near-optimal solutions in high-speed, real-time applications. For a sequence of length n, the network of complexity and throughput rate are O(L) and n/T.sub.c, respectively, where L is the number of symbols the inference spans and T.sub.c is the convergence time. The hardware architecture as well as network models, neuron models, and methods of feeding the input to the network are addressed in terms of the probability of error.

One-dimensional signal processor with optimized solution capability

A motion video data system includes a compression system, including an image compressor, an image decompressor correlative to the image compressor having an input connected to an output of the image compressor, a feedback summing node having one input connected to an output of the image decompressor, a picture memory having an input connected to an output of the feedback summing node, apparatus for comparing an image stored in the picture memory with a received input image and deducing therefrom pixels having differences between the stored image and the received image and for retrieving from the picture memory a partial image including the pixels only and applying the partial image to another input of the feedback summing node, whereby to produce at the output of the feedback summing node an updated decompressed image, a subtraction node having one input connected to received the received image and another input connected to receive the partial image so as to generate a difference image, the image compressor having an input connected to receive the difference image whereby to produce a compressed difference image at the output of the image compressor.

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Los Angeles, CA, United States of America

Bing J Sheu