653 results about "Source separation" patented technology

Cardiac monitoring and / or stimulation methods and systems that provide one or more of monitoring, diagnosing, defibrillation, and pacing. Cardiac signal separation is employed for automatic capture verification using cardiac activation sequence information. Devices and methods sense composite cardiac signals using implantable electrodes. A source separation is performed using the composite signals. One or more signal vectors are produced that are associated with all or a portion of one or more cardiac activation sequences based on the source separation. A cardiac response to the pacing pulses is classified using characteristics associated with cardiac signal vectors and the signals associated with the vectors. Further embodiments may involve classifying the cardiac response as capture or non-capture, fusion or intrinsic cardiac activity. The characteristics may include an angle or an angle change of the cardiac signal vectors, such as a predetermined range of angles of the one or more cardiac signal vectors.

A method of investigating a sample using Scanning Electron Microscopy (SEM), comprising the following steps:Irradiating a surface (S) of the sample using a probing electron beam in a plurality (N) of measurement sessions, each measurement session having an associated beam parameter (P) value that is chosen from a range of such values and that differs between measurement sessions;Detecting stimulated radiation emitted by the sample during each measurement session, associating a measurand (M) therewith and noting the value of this measurand for each measurement session, thus allowing compilation of a data set (D) of data pairs (Pi, Mi), where 1≦i≦N,wherein:A statistical Blind Source Separation (BSS) technique is employed to automatically process the data set (D) and spatially resolve it into a result set (R) of imaging pairs (Qk, Lk), in which an imaging quantity (Q) having value Qk is associated with a discrete depth level Lk referenced to the surface S.

The present invention relates to a method and an acoustic measurement system for determining individual noise sound contributions of a plurality of physical noise sources of a motorized vehicle at a target or reference location. The method comprises steps of placing a plurality of reference microphones at respective reference positions adjacent to respective ones of the physical noise sources, placing a measurement microphone at the target location, recording a plurality of noise sound signals and recording a target noise signal. The plurality of noise sound signals are adaptively separated using blind source separation to produce a plurality of mutually independent noise sound signals representing respective estimated noise sound signals of the plurality of physical noise sources. Each of the mutually independent noise sound signals is correlated with the recorded target noise signal to determine time domain or frequency domain characteristics of a plurality of linear transfer path filters representing respective transfer functions between the plurality of independent noise sound signals and the measurement microphone at the target location. At least one of the independent noise sound signals, representing one of the physical noise sources, may be applied to the corresponding linear transfer path filter to generate at least one target noise signal component representing the individual noise sound contribution of the physical noise source at the target location.

Methods and apparatus for signal processing are disclosed. A discrete time domain input signal xm(t) may be produced from an array of microphones M0 . . . MM. A listening direction may be determined for the microphone array. The listening direction is used in a semi-blind source separation to select the finite impulse response filter coefficients b0, b1 . . . , bN to separate out different sound sources from input signal xm(t). One or more fractional delays may optionally be applied to selected input signals xm(t) other than an input signal x0(t) from a reference microphone M0. Each fractional delay may be selected to optimize a signal to noise ratio of a discrete time domain output signal y(t) from the microphone array. The fractional delays may be selected to such that a signal from the reference microphone M0 is first in time relative to signals from the other microphone(s) of the array. A fractional time delay Δ may optionally be introduced into an output signal y(t) so that: y(t+Δ)=x(t+Δ)*b0+x(t−1+Δ)*b1+x(t−2+Δ)*b2+ . . . +x(t−N+Δ)bN, where Δ is between zero and ±1.