148 results about "Blind signal separation" patented technology

A communications device for separating source signals provided by M signal sources includes an antenna array comprising N antenna elements for receiving at least N different summations of the M source signals. A respective in-phase and quadrature module is connected downstream to each antenna element for separating each one of the N different summations of the M source signals received thereby into an in-phase and quadrature component set. A blind signal separation processor forms a mixing matrix comprising at least 2N different summations of the M source signals, with each in-phase and quadrature component set providing 2 inputs into the mixing matrix. The mixing matrix has a rank equal up to 2N. The desired source signals are separated from the mixing matrix by the blind signal separation processor.

Cardiac monitoring and / or stimulation methods and systems provide monitoring, defibrillation and / or pacing therapies. A signal processor receives a plurality of composite signals associated with a plurality of sources, separates a signal using a source separation algorithm, and identifies a cardiac signal using a selected vector. The signal processor may iteratively separate signals from the plurality of composite signals until the cardiac signal is identified. The selected vector may be updated if desired or necessary. A method of signal separation involves detecting a plurality of composite signals at a plurality of locations, separating a signal using source separation, and selecting a vector that provides a cardiac signal. The separation may include a principal component analysis and / or an independent component analysis. Vectors may be selected and updated based on changes of position and / or orientation of implanted components and changes in patient parameters such as patient condition, cardiac signal-to-noise ratio, and disease progression.

An acoustic device is provided with first and second one or more acoustic elements to generate a first signal that includes mostly undesired audio and substantially void of desired audio, and a second signal that includes desired as well undesired audio respectively. The first one or more acoustic elements are designed and arranged to generate a Cardioid beam with a null at an originating direction of the desired audio. The second one or more acoustic elements are designed and arranged to generate a complementary beam that includes the desired audio. A system is provided with an appropriate signal processing logic to recover the desired audio using the first and second signals. The signal processing logic may practice echo cancellation like techniques or blind signal separation techniques.

A communications device for separating source signals provided by M signal sources includes an antenna array comprising N antenna elements for receiving at least N different summations of the M source signals. At least two of the N antenna elements are correlated and have different polarizations for receiving at least two of the N different summations of the M source signals, with N and M being greater than 1. A receiver is connected to the antenna array for receiving the at least N different summations of the M source signals. A blind signal separation processor is connected to the receiver for forming a mixing matrix comprising the at least N different summations of the M source signals, and for separating desired source signals from the mixing matrix. The mixing matrix has a rank equal to at least N.

The present invention provides a method for recovering target speech based on shapes of amplitude distributions of split spectra obtained by use of blind signal separation. This method includes: a first step of receiving target speech emitted from a sound source and a noise emitted from another sound source and forming mixed signals of the target speech and the noise at a first microphone and at a second microphone; a second step of performing the Fourier transform of the mixed signals from the time domain to the frequency domain, decomposing the mixed signals into two separated signals U1 and U2 by use of the Independent Component Analysis, and, based on transmission path characteristics of the four different paths from the two sound sources to the first and second microphones, generating the split spectra v11, v12, v21 and v22 from the separated signals U1 and U2; and a third step of extracting estimated spectra Z* corresponding to the target speech to generate a recovered spectrum group of the target speech, wherein the split spectra v11, v12, v21, and v22 are analyzed by applying criteria based on the shape of the amplitude distribution of each of the split spectra v11, v12, v21, and v22, and performing the inverse Fourier transform of the recovered spectrum group from the frequency domain to the time domain to recover the target speech.

An embodiment of a method for parameterizing an input signal includes non-linearly transforming the input signal, removing higher order terms by passing the input signal through a low pass filter to produce a linear combination of data symbols and DC components, solving for the DC components, separating a plurality of mixed baseband signals from the input signal, and coordinate transforming each of the separated signals from polar coordinates to Cartesian coordinates. An embodiment of a receiver includes a non-linear transform operator receiving a digitized input signal and adapted to produce a linear combination of data symbols, DC components, and carrier effects; a low-pass filter for removing higher order terms; a separator unit for separating the plurality of mixed baseband signals; and a coordinate transform for converting the separated signals from polar coordinates to Cartesian coordinates.

A communications device for separating source signals provided by M signal sources includes an antenna array comprising N antenna elements for receiving at least N different summations of the M source signals. A code despreader is connected to the N antenna elements for decoding the at least N different summations of the M source signals. Each one of the N different summations includes k codes for providing k different summations of the M source signals associated therewith. A blind signal separation processor forms a mixing matrix comprising at least kN different summations of the M source signals, and separates desired source signals from the mixing matrix. The mixing matrix has a rank equal up to kN.

A communications device includes an antenna array for receiving different summations of source signals from a plurality of signal sources, a receiver coupled to the antenna array for receiving the different summations of source signals, and a signal separation processor coupled to the receiver. Processing by the signal separation processor includes creating a matrix based upon the different summations of source signals, with the matrix being defined by linear independent equations with fewer equations than unknowns. The matrix is underdetermined, and parameters associated with the matrix are modified based upon different sets of parameter values, and respective matrix quality factors associated with the different sets of parameter values are determined. The matrix is then biased with a preferred set of parameter values so that the solution space may be narrowed for obtaining a solution.