Methods and apparatuses for detecting anomalies in the compressed sensing domain

摘要

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.

主权项

1. A method for processing a source signal to detect anomalies, the method comprising:
receiving, using at least one processor, a measurement vector of compressive measurements, the measurement vector being derived by applying a sensing matrix to the source signal; generating, using the at least one processor, at least one first feature vector from the measurement vector, the first feature vector being an estimate of a second feature vector, the second feature vector corresponding to a translation of the source signal, the generating including generating more than one first feature vectors, each of the first feature vectors having a corresponding translation parameter; comparing, using the at least one processor, a group of elements of a set of the first feature vectors with other elements of the set of first feature vectors; determining, using the at least one processor, which elements in the group of the set of the first feature vectors are similar to the other elements of the set of first feature vectors; and detecting, using the at least one processor, an anomaly in the source signal based on the first feature vector.