George A Batten, Age 741715 Avenue N 1/2, Galveston, TX 77550

5768478, Jun 16, 1998

May 27, 1997

8/864022

George W. Batten - Houston TX

G06F 1518
G06F 1540

395 24

An artificial neuron for use in a neural processing network comprises a plurality of input signal lines, an arrangement for computing a nonlinear function of the sum of the inputs multiplied by associated weights, and a saturating delta-sigma modulator which oversamples the computed value and produces an encoded neuron output signal. Conversion of signals for use by these neurons preferably is performed by delta-sigma modulators at the inputs to the neurons, which may be incorporated directly into sensors. Processing of the output signals from the neuron includes low-pass filtering and decimation. The present invention may be used in many diverse areas. For example, arrays of sensors with delta signal modulators may be coupled with a network of the neurons to form an intelligent vision system. Linear signal processing, both conventional and adaptive, can be done by a simple neuronal system that operates linearly.

5771281, Jun 23, 1998

Aug 26, 1997

8/918926

George Washington Batten - Houston TX

H04M 1100

379 9323

A computer interface device for answering calls on a telephone line and transmitting a ring signal and caller identification information to the computer. The interface device is powered by the computer's serial port. The interface device operates in one of two modes of operation. In the call receive mode, the device answers calls and transmits caller identification and ring information to the computer. In the dial mode, the computer places calls on the telephone line. The computer controls activation of the interface device's operational modes.

5542054, Jul 30, 1996

Dec 22, 1993

8/173566

George W. Batten - Houston TX

G06F 752
G06F 1540

395 24

An artificial neuron for use in a neural processing network comprises a plurality of input signal lines, an arrangement for computing a nonlinear function of the sum of the inputs multiplied by associated weights, and a saturating delta-sigma modulator which oversamples the computed value and produces an encoded neuron output signal. Conversion of signals for use by these neurons preferably is performed by delta-sigma modulators at the inputs to the neurons, which may be incorporated directly into sensors. Processing of the output signals from the neuron includes low-pass filtering and decimation. The present invention may be used in many diverse areas. For example, arrays of sensors with delta signal modulators may be coupled with a network of the neurons to form an intelligent vision system. Linear signal processing, both conventional and adaptive, can be done by a simple neuronal system that operates linearly.