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240 results about "Separation matrix" patented technology

Matrix Separation is predominantly engaged in General Industrial Machinery. Matrix Separation operates in Chattanooga Tennessee.

Signal separation method, signal processing apparatus, image processing apparatus, medical image processing apparatus and storage medium for restoring multidimensional signals from observed data in which multiple signals are mixed

Signals are separated by introducing a function having a monotonously increasing characteristic like an exponential type function as a cost function, and applying an adaptive algorithm that minimizes that cost function in terms of a signal separation matrix. That is, there is provided a signal processing apparatus that separates and outputs an original signal from the observed signal x(t), in which multiple multidimensional signals are mixed, wherein the nonlinear function 21 is operated on an input observed signal x(t) and an estimated separation matrix W(t-1) estimated at a previous cycle. Then, an error signal e(t) is calculated 22 based on y(t) formed by this nonlinear function 21, the estimated separation matrix W(t-1) estimated at the previous cycle, and the observed signal x(t) at that time. Then, based on the calculated error signal e(t), the update of the separation matrix W(t) at that time is performed 23 such that consideration weight is increased when estimation errors are large using the cost function having a monotonously increasing characteristic.
Owner:UNILOC 2017 LLC

Position information estimation device, method thereof, and program

Observed signals x1(t) to xj(t) from a plurality of sensors disposed in two dimensions are subject to a short-time Fourier transform, from which signals X11) to X1N), . . . XJ1) to XJN) are derived. Using the independent component analysis process, separation matrices W(ω1) to W(ωN) are produced. Their inverse matrices H(ω1) to H(ωN) are calculated, and for each ωn (n=1, . . . , N), using a pair of elements from each column of H(ωn), Hjin) and Hj′in), an angle {circumflex over (θ)}i,jj′n)=cos−1(arg(|Hjin)/Hj′in))/(ωnc−1∥dj−dj′∥)) is calculated where arg(α) represents an argument of α, c the propagation velocity of a signal, and ∥dj−dj′∥ represents a spacing between sensors i and j′. Columns are permuted so that {circumflex over (θ)}i,jj′n) obtained from each column of H(ω1) to H(ωN) assume an ascending order. For columns which cannot be permuted, the equation ∥qi−dj′∥/∥qi−dj∥=|Hjin)/Hj′in)|=DRi,jj′n) is solved for qi to calculate Ri,jj′n)=∥DRi,jj′n)·(dj−dj′)/(DR2i,jj′n)−1)|. Columns of H(ωn) is permuted so that Ri,jj′n) assume an ascending order. H(ωn) is used to solve the permutation problem of W(ω).
Owner:NIPPON TELEGRAPH & TELEPHONE CORP

Apparatus and method for separating audio signals

The present invention provides an apparatus for separating audio signals that can dissolve the problem of permutation when separating the plurality of mixed signals by independent component analysis. There is provided an audio signal separation apparatus for separating observation signals in a time domain of a mixture of a plurality of signals including audio signals into individual signals by means of independent component analysis to produce isolated signals, the apparatus including a first conversion section that converts the observation signals in the time domain into observation signals in a time-frequency domain, a separation section that produces isolated signals in a time-frequency domain from the observation signals in the time-frequency domain, and a second conversion section that converts the isolated signals in the time-frequency domain into isolated signals in a time domain, the separation section being adapted to produce isolated signals in a time-frequency domain from the observation signals in the time-frequency domain and a separation matrix substituted by initial values, compute the modified value of the separation matrix by using a score function using the isolated signals in the time-frequency domain and a multidimensional probability density function and the separation matrix, modify the separation matrix until the separation matrix substantially converges by using the modified value and produce isolated signals in the time-frequency domain by using the substantially converging separation matrix.
Owner:SONY CORP

Method for separating vibration signal blind sources under strong noise environment

The invention discloses an algorithm for separating vibration signal blind sources under a strong noise environment. The method comprises the following steps: 1, de-noising a group of given mixed signals containing noise through a time delay autocorrelation method to acquire de-noised mixed signals; 2, performing mean value removal and steady whitening pretreatment on the mixed signals acquired in the first step to further reduce the influence of the noise signals on the separation result; and 3, calculating second-order and fourth-order cumulated amount of the initial separate signals, using the sum of diagonal elements of second-order and fourth-order cumulated amount matrixes as a cost function, and maximizing the cost function to similarly diagonalize the joints of the cumulated amount matrixes so as to realize the separation of the signals of the independent sources and acquire orthogonal separation matrixes. The method combines the conventional de-noising method and the blind separation algorithm to realize the separation of the mixed signals under the strong noise environment, and has the advantages of good separation effect, high convergence rate and de-noising effect free from the limitation of the set threshold value compared with the conventional algorithm.
Owner:NANJING UNIV OF AERONAUTICS & ASTRONAUTICS

Method for estimating weak signal separation on basis of positioning for external radiation sources

InactiveCN103235294AHelp delayDoppler shiftWave based measurement systemsMain channelSample sequence
The invention provides a method for estimating weak signal separation on the basis of positioning for external radiation sources. The method includes steps of performing direct-wave and multi-path cancellation for a sample sequence x (t) of a main channel by means of NLMS (normalized least mean square) to obtain output signals y<NLMS>(t); estimating the number of source signals of the output signals y<NLMS>(t) by an AIC (Akaike information criterion) or an MDL (minimum description length) criterion, preliminarily whitening the output signals y<NLMS>(t) to obtain whitened signals z(t), and updating a separation matrix W by an ICA (independent component analysis) algorithm to obtain M channels of estimated signals y(t); respectively performing time-frequency two-dimensional correlation for the M channels of estimated signals y<1>(t), ..., y<M>(t) and reference signals s<ref>(t); and searching a peak point in absolute correlation values phi(tau, f) corresponding to the M channels of estimated signals, and determining time delay and Doppler frequency shift which correspond to the peak point as time delay and Doppler frequency shift of a target when a signal-to-noise ratio of a certain channel of signals is larger than or equal to a threshold value.
Owner:UNIV OF ELECTRONICS SCI & TECH OF CHINA

Adaptive voice separating method based on sound source positioning

The invention provides an adaptive voice separating method based on sound source positioning, and relates to the technical field of information processing. The method includes steps: acquiring an audio signal of an observed environment, and confirming the number of sound sources and the direction of arrival of each sound source; generating a dimension reduction matrix P; generating a voice transfer matrix and a delay superposed wave beam coefficient; determining an active sound source of a frequency point and separating voice components; obtaining the obtained voice components and setting non-activated sound source components as zero; and obtaining time domain voice signals of the sound sources. According to the method, the number and the orientation of the sound sources in a current environment can be obtained through a sound source positioning technology, dimension reduction of each frequency band of the voice signal is performed with the cooperation of a PCA whitening technology toobtain an initial separation matrix, frequency components of each sound source channel are separated through the number of the activated sound sources at the frequency point by adaptive usage of the beam forming technology and the FDICA technology to restore the voice components, the obtained signal-to-noise ratio improvement characteristic is higher, better noise suppression performance is achieved, and the method is applicable to any sound source situations in the real voice environment.
Owner:NORTHEASTERN UNIV
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