METHODS AND APPARATUSES FOR DETECTING ANOMALIES IN THE COMPRESSED SENSING DOMAIN

Patent №

US 9,600,899

Granted

2017-03-21

Filed 2013

Owner

ALCATEL-LUCENT USA INC.

Lab

AI components

3

ml · nlp · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14136335

A measurement vector of compressive measurements is received. The measurement vector may be derived by applying a sensing matrix to a source signal. At least one first feature vector is generated from the measurement vector. The first feature vector is an estimate of a second feature vector. The second feature vector is a feature vector that corresponds to a translation of the source signal. An anomaly is detected to in the source signal based on the first feature vector.

Machine learningNatural languageAI hardwareG06T 7/262G06T 7/246G06V 10/44G06V 10/50G06V 10/7715G06V 20/46G06V 20/52H03M 7/3062+3 more

AI classification

Natural language1.00
AI hardware1.00
Machine learning0.99
Vision0.43
Speech0.04
Planning0.01
Knowledge representation0.01
Evolutionary computation0.00

Ownership

ALCATEL-LUCENT USA INC.

assignment · 318320888

Assignors

HAIMI-COHEN, RAZIEL, JIANG, HONG

On an employer assignment, the assignors are typically the inventors.

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