4 results about "Blind signal separation" patented technology

A sound receiving processing method and a sound signal processing apparatus are provided. In the method, multiple input sound signals are received through a microphone array. The input sound signals are combined into a main sound signal based on beamforming. Multiple primary extraction signals belonging to the main sound signal are respectively extracted from the input sound signals. Multiple estimated sound source signals corresponding to the sound sources are separated from the primary extraction signals through blind signal separation. Multiple re-extraction signals belonging to the estimated sound source signals are respectively extracted from the primary extraction signals. A distance of the first source relative to the microphone array is determined according to a power ratio. One of the estimated sound source signals corresponding to the first source is determined according to a distance limit. Therefore, the sound signal from the desired sound source could be obtained.

The application discloses a kind of power grid fault diagnosis method and system based on electric power data analysis, it is related to electric power system fault diagnosis related field, including: the multiple electric power data sources of constructing electric power network, extract multiple electric power data;Multiple electric power data are carried out semi-supervised separation according to fault type using blind signal separation algorithm, obtain multiple separation signals;The fault feature similarity between the pairs of multiple electric power data sources is calculated;According to the cross-source end clustering of fault feature similarity calculation result, the multiple separation signal clusters output are respectively input power grid fault diagnosis model analysis, obtain multiple fault types, send power grid fault diagnosis result after joint identification.Solve the technical problem that existing power grid fault diagnosis exists in mixed fault scene and is easy to produce misjudgment due to signal coupling, leading to insufficient diagnostic accuracy and reliability, achieve the technical effect of accurate separation and identification through complex mixed fault, improve fault diagnosis accuracy and reliability.

The present application relates to the technical field of communication signal anti-interference, in particular to a satellite navigation anti-interference method based on blind signal separation, comprising the following steps: step one, mixed signal collection: using several single antennas to simultaneously receive mixed signals of satellite navigation signals and interference signals, digitizing and sampling the mixed signals to obtain mixed signal data; step two, anti-interference model construction: establishing a satellite navigation signal anti-interference processing mathematical model according to the number of single antennas and the mixed signals; step three, demixing matrix solution: intercepting mixed signal data samples with a length of from the mixed signal data, and processing the mixed signal data samples by using a blind signal separation method. The present application receives mixed signals of satellite navigation signals and interference signals by using several single antennas, realizes the separation of satellite navigation signals and interference signals by using a blind signal separation method, and extracts navigation information by solving the separated signal data.

The invention discloses a power grid fault diagnosis method and system based on power data analysis, and relates to the related field of power system fault diagnosis, and the method comprises the steps: constructing a plurality of power data source ends of a power network, and extracting a plurality of power data; performing semi-supervised separation on the plurality of power data according to the fault type by adopting a blind signal separation algorithm to obtain a plurality of separation signals; calculating the fault feature similarity of the separated signal pairs among the plurality of power data source ends; and cross-source-end clustering is carried out according to a fault feature similarity calculation result, a plurality of output separation signal clusters are respectively input into a power grid fault diagnosis model for analysis, a plurality of fault types are obtained, and a power grid fault diagnosis result is sent after joint identification. The technical problem that in existing power grid fault diagnosis, misjudgment is likely to be generated due to signal coupling in a mixed fault scene, and consequently diagnosis accuracy and reliability are insufficient is solved, and the technical effect of improving fault diagnosis accuracy and reliability through precise separation and recognition of complex mixed faults is achieved.