Sri International

Neural Systems Corp.

Digital Recording Research Limited Partnership

Digideck, Inc.

Constance T Chittenden

Charles S Weaver

Allen B Conner, Jr

A binary tree and method of producing a binary tree are shown, together with artificial neural networks which include processing units of binary trees. The binary tree-producing method includes obtaining a set of binary training pattern vectors some of which are associated with a first pattern to be recognized, and the remainder of which are not associated with the first pattern. Those associated with the first pattern and the remainder are identified as category 1 and category 0 vectors, respectively. The set of vectors is used to generate a binary tree in computer memory, which tree includes a sequence of binary doublets each of which represents a tree node. One of four branch conditions is identified by each doublet including no branches, branch only left, branch only right or branch both left and right. The sequence of binary doublets is used to classify binary vectors. A hardware version of the tree may be implemented which includes a plurality of AND gates (1L, 1R, 2L, 2R, 3L and 5L) interconnected in an N-level binary tree (FIG. 3) to which N binary inputs (X.sub.1, X.sub.2 and X.sub.3) are connected to separate levels of the tree. Leaf nodes of the AND gate binary tree are connected to an OR gate (20), and a start signal (S) is supplied to the root node (1) of the tree.

Method for producing a binary tree, pattern recognition and binary

In a digital encoder, truncation is controlled by the fullness of the output rate-smoothing buffer. A signal compression system is shown for processing a stream of fixed length digital sample signals, such as audio signals, which system includes a linear digital compression filter for compression filtering the sample signal stream and generating a stream of compression-filtered signals. The compression-filtered stream is encoded by an encoder which implements a variable word length truncated code. The encoder output is supplied to a buffer for transmission to a communication channel. The encoder is controllably operable in a normal mode and in an out of range (OOR) mode. In the OOR operating mode an OOR code word together with the compression filtered signal is sent to the buffer. Buffer underflow is controlled by operation in the OOR mode when the buffer is empty or near empty. Buffer overflow is controlled by truncating sample signals supplied to the compression filter in response to a measure of buffer fullness when the fullness of the buffer exceeds a predetermined level. The level of truncation increases as buffer fullness increases. With a decrease in buffer fullness, a measure of the rate of change of buffer fullness may be used to accelerate the decrease in truncation for improved audio signal quality. Additionally, a measure of variance of the compression-filtered signal stream may be used in conjunction with control based upon a measure of buffer fullness in the control of truncation for improved audio signal quality.

Data compression system and method with buffer control

Method and apparatus for recurrently obtaining a measure of the systolic slope of the blood pressure wave in a subject's artery during a range of physical activity, or exercise, are disclosed. A plot, or record, of the slope measurements versus heart beat rate, point in an exercise protocol, or the like, is provided from which subjects having coronary artery disease (CAD) may be distinguished from subjects without CAD.

Method and apparatus for diagnosis of coronary artery disease

Method and apparatus for recurrently obtaining systolic and diastolic blood pressure measurements, and measurements of the systolic slope of the blood pressure wave in a subject's artery are disclosed. Artifact information in Korotkov sound signals employed in the apparatus are substantially eliminated to avoid errors which otherwise normally are present in such measurements.

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Los Altos, CA, United States of America

Constance T Chittenden