Coded data generation or conversion – Digital code to digital code converters – Tree structure
Patent
1994-01-03
1995-08-08
Downs, Robert W.
Coded data generation or conversion
Digital code to digital code converters
Tree structure
341 51, 395 23, H03M 700, G06F 1518
Patent
active
054406706
ABSTRACT:
Code word generation by recursive reverse flows in a neural network, and transmission systems encoding using such code words. The neural network (30) may be an array of operational amplifiers (34) as neurons with inverted amplifier output feedback through resistors (32) as the interconnection strengths to the amplifier inputs. The inversion of the amplifier output implies the dynamical flow of the neuron states is away from stored vectors; this contrasts with Hopfield networks which have a dynamical flow to stored states and thus an associative memory function. The method of generating code words recursively uses this reverse dynamical flow with previously generated code words as the stored vectors. That is, the already generated code words define the stored vectors in a neural network, then the reverse dynamical flow finds a new vector away from the stored vectors, and lastly this new vector defines the next code word and the cycle repeats with the augmented set of stored vectors.
REFERENCES:
patent: 5134396 (1992-07-01), Sirat et al.
patent: 5148385 (1992-09-01), Frazier
patent: 5177746 (1993-01-01), Chung
patent: 5253328 (1993-10-01), Hartman
Lee, et al., "Adaptive Vector Quantization with a Structural Level Adaptive Neural Network," IEEE Pacific Rim Conf. on Communications, Computers and Signal Processing, Jun. 1989, 517-520.
Donaldson Richard L.
Downs Robert W.
Hoel Carlton H.
Texas Instruments Incorporated
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