522 results about "Decorrelation" patented technology

An apparatus for synthesizing a rendered output signal having a first audio channel and a second audio channel includes a decorrelator stage for generating a decorrelator signal based on a downmix signal, and a combiner for performing a weighted combination of the downmix signal and a decorrelated signal based on parametric audio object information, downmix information and target rendering information. The combiner solves the problem of optimally combining matrixing with decorrelation for a high quality stereo scene reproduction of a number of individual audio objects using a multichannel downmix.

The invention relates to a method for detecting lane lines of complex road conditions, which includes: firstly converting colored road images into gray level images and performing median filtering, then performing area of interest division on the filtered images, performing binaryzation processing on road images in the area of interest by using a symmetrical local threshold dividing method so as to extract lane line feature information, and finally performing parallel recognition respectively on a left lane line and a right lane line by adopting a decorrelation random sample consensus algorithm (RANSAC) method based on extracted lane line feature point distribution law. Compared with a traditional RANSAC method, the method for detecting lane lines of complex road conditions greatly improves instantaneity, remarkably strengths robustness and can fast and effectively detect lane lines in terms of complex road conditions caused by illumination changing, shadow shielding, lane line damaging, splotch covering and the like.

A two microphone noise reduction system is described. In an embodiment, input signals from each of the microphones are divided into subbands and each subband is then filtered independently to separate noise and desired signals and to suppress non-stationary and stationary noise. Filtering methods used include adaptive decorrelation filtering. A post-processing module using adaptive noise cancellation like filtering algorithms may be used to further suppress stationary and non-stationary noise in the output signals from the adaptive decorrelation filtering and a single microphone noise reduction algorithm may be used to further provide optimal stationary noise reduction performance of the system.

A method for remote scenes classification comprising the steps of (a) preparing a reference template for classification of the remote scenes via (i) classifying a set of reference scenes via a conventional classification technique for obtaining a set of preclassified reference scenes; (ii) using a first spectral imager for measuring a spectral cube of the preclassified reference scenes; (iii) employing a principal component analysis for extracting the spectral cube for decorrelated spectral data characterizing the reference scenes; and (vi) using at least a part of the decorrelated spectral data for the preparation of the reference template for remote scenes classification; (b) using a second spectral imager for measuring a spectral cube of analyzed remote scenes, such that a spectrum of each pixel in the remote scenes is obtained; (c) employing a decorrelation statistical method for extracting decorrelated spectral data characterizing the pixels; and (d) comparing at least a part of the decorrelated spectral data extracted from the pixels of the remote scenes with the reference template.

Methods systems and computer readable media are provided for extracting information pertaining to at least one moving target. A set of signal data are inputted to a principal components processor, wherein the set of signal data comprise signal data corresponding to at least one waveform acquired from the at least one moving target. A complex representation of the set of signal data is formed and, using a principal components processor, at least one complex principal component of the complex representation is calculated. At least one of the calculated complex principal components is automatically selected and each of the at least one automatically selected complex principal component is applied to extract information about the at least one moving target. Methods systems and computer readable media are provided extracting information pertaining to at least one moving target. A set of signal data comprising signal data corresponding to at least one waveform acquired from the at least one moving target are inputted to a principal components processor. A complex representation of the set of signal data is formed, and at least one complex principal component of the complex representation is calculated. An estimated value of a physical characteristic of the at least one moving, target is then calculated, using a phase of at least one of the at least one complex principal components.

A multi-channel acoustic cancellation system 40 with, for example, stereo speakers and a pair of microphones in the transmitting and receiving rooms (11 and 21) has time varying all-pass filters (45, 47) in the signal path between the microphones (13, 15) in the transmitting room (11) and the speakers (27, 29) in the receiving room (21) to provide decorrelation.

A method and apparatus is disclosed for performing blind source separation using convolutive signal decorrelation. For a first embodiment, the method accumulates a length of input signal (mixed signal) that includes a plurality of independent signals from independent signal sources. The invention then divides the length of input signal into a plurality of T-length periods (windows) and performs a discrete Fourier transform (DFT) on the, signal within each T-length period. Thereafter, estimated cross-correlation values are computed using a plurality of the averaged DFT values. A total number of K cross-correlation values are computed, where each of the K values is averaged over N of the T-length periods. Using the cross-correlation values, a gradient descent process computes the coefficients of a finite impulse response (FIR) filter that will effectively separate the source signals within the input signal. A second embodiment of the invention is directed to on-line processing of the input signal—i.e., processing the signal as soon as it arrives with no storage of the signal data. In particular, an on-line gradient algorithm is provided for application to non-stationary signals and having an adaptive step size in the frequency domain based on second derivatives of the cost function. The on-line separation methodology of this embodiment is characterized as multiple adaptive decorrelation.

Ambience signal components are obtained from source audio signals, matrix-decoded signal components are obtained from the source audio signals, and the ambience signal components are controllably combined with the matrix-decoded signal components. Obtaining ambience signal components may include applying at least one decorrelation filter sequence. The same decorrelation filter sequence may be applied to each of the input audio signals or, alternatively, a different decorrelation filter sequence may be applied to each of the input audio signals.

An encoder (501) generates data representing an audio scene by a first downmix and data characterizing audio objects. In addition, a direction dependent diffuseness parameter indicative of a degree of diffuseness of a residual downmix is provided where the residual downmix corresponds to a downmix of audio components of the audio scene with the audio objects being extracted. A rendering apparatus (503) comprises a receiver (701) receiving the data from the encoder (501). A circuit (703) generates signals for a spatial speaker configuration from the audio objects. A transformer (709) generates non-diffuse sound signals for the spatial speaker configuration by applying a first transformation to the residual downmix and another transformer (707) generates signals for the spatial speaker configuration by applying a second transformation to the residual downmix by applying a decorrelation to the residual downmix. The transformations are dependent on the direction dependent diffuseness parameter. The signals are combined to generate an output signal.

A system and method provide for the collection of interferometric synthetic aperture radar (IFSAR) data. In the system, a first space vehicle configured for emitting electro-magnetic energy and collecting the reflection from a region of interest (ROI), may be directed along a first orbital track. The collected image data may be stored and later provided to a ground station for image and interferometric processing. A second space vehicle may also be configured for emission and collection of electro-magnetic energy reflected from the plurality of ROI's. The second space vehicle is positioned in an aligned orbit with respect to the first space vehicle where the separation between the vehicles is known. In order to minimize decorrelation of the ROI during image processing, the lead and trail satellite are configured to substantially simultaneously emit electromagnetic pulses image data collection. In order to avoid interference in the collection of this image data, each system is configured to control the emission of pulses such that the receipt of direct and bistatic pulses by the other vehicles does not interfere with data collection.

The related echo eliminator comprises: a linear predicted decoder to decode data into remote speech signal and extract the short activating signal and linear prediction coding parameter, a decorrelation filter to receive the predicted coding parameter and error signal for decorrelation and generate decorrelated error signal, an adaptive filter to receive all of the remote speech and short activating signal and decorrelated error signal and generate the estimated echo, and a subtracter to generate the error signal. This invention combines with LPC device, reduces algorithm complexity, and prompts algorithm convergence.

The invention relates to an echo canceller, an echo cancellation method and the double-end talking detection system thereof, wherein, the echo canceller decodes a data stream from the network end into a far-end voice signal and extracts a short-time excitation signal as well as a linear prediction coding coefficient by utilizing a linear prediction decoder. Based on the linear prediction coding coefficient, the echo canceller carries out a decorrelation process to a residual signal by a decorrelation filter, and executes a normalized cross correlation process to the short-time excitation signal and the decorrelation residual signal by utilizing the double-end talking detector to generate the normalized cross correlation detection variable, hence, the echo canceller detects the existence of the double-end talking and then further controls the renewal of the self-adaptive filter. The invention is capable of detecting the existence of the double-end talking by the decorrelation process as well as the normalized cross correlation process to the far-end voice signal and the residual signal, thus obviously decreasing the calculation complexity of the double-end talking detection and the storage space consumption.

Antenna systems for handheld wireless communication devices (100) that comprise a first unbalanced feed antenna (112, 718, 802, 1204, 1812) and a second balanced feed antenna dipole antenna (202, 716, 804, 1202, 1802) that are located next to a ground structure (116, 810, 1210, 1824) for the handheld wireless communication devices are provided. The balanced feed dipole antenna and the unbalanced feed antenna exhibit disparate spatial-polarization patterns which are suitable for use with a MIMO transceiver, and the decorrelation of signals received by the two antennas is preserved due to a low level of coupling through the ground structure, which is due, in part, to differences in the symmetry properties of current patterns in the ground structure that are associated with the operation of the two antennas. The two antennas can also be used in a transceiver (629) that uses separate antennas to receive and transmit.

A synthesizer for generating a decorrelation signal using an input signal is operative on a plurality of subband signals, wherein a subband signal includes a sequence of at least two subband samples, the sequence of the subband samples representing a bandwidth of the subband signal, which is smaller than a bandwidth of the input signal. The synthesizer includes a filter stage for filtering each subband signal using a reverberation filter to obtain a plurality of reverberated subband signals, wherein a plurality of reverberated subband signals together represent the decorrelation signal. This decorrelation signal is used for reconstructing a signal based on a parametrically encoded stereo signal consisting of a mono signal and a coherence measure.

A method and system for measuring electric current in a plurality (n) of conductors. According to the invention, the method comprises the following steps: an electric current transducer is place substantially opposite to each conductor (I, i=1, . . . , n); a decorrelation matrix ([G]), which is a function of the position of the transducers in relation to the conductors, is constructed; the current (I_mesi) in each conductor (i) is measured with the aid of electric current transducers and real currents (I_reeli) are deduced with the aid of the decorrelation matrix ([G]) and the measured currents (I_mesi).

A rolling bearing fault on-line detection and state assessment method is disclosed. The method comprises the following steps: twelve dimensional dimensionless parameters are extracted; the twelve dimensional dimensionless parameters comprise six dimensional time domain statistical parameters, three dimensional frequency domain statistical parameters and three dimensional dimensionless parameters in a small wave envelope spectrum; standardized reconstruction characteristic vectors can be obtained; whether a rolling bearing malfunctions is determined, and a state of the rolling bearing is assessed. Via the rolling bearing fault on-line detection and state assessment method, the twelve dimensional dimensionless parameters which can be used for effectively representing the state of the rolling bearing can be automatically extracted, the twelve dimensional dimensionless parameters are subjected to decorrelation and standardization operation, standardized reconstruction characteristic vectors that are distributed to form a hypersphere with an original point being a sphere center, and fault detection and state assessment of the rolling bearing can be realized via 2-norms of the standardized reconstruction characteristic vectors; difficult problems of long on line training time, low efficiency, and hard-to-obtain fault samples and the like of a rolling bearing state assessing model can be solved.

Line-of-sight and non-line-of-sight channel conditions are efficiently and optimally handled in a MIMO wireless network by coupling two or more dual polarization antennas together through a controller that selects a prescribed combination of antenna outputs in response to determination of the existence of a particular channel condition. In this manner, the controlled antenna array develops a suitable level of signal discrimination (decorrelation), whether or not the channel condition provides it. In one embodiment, two dual polarized antennas are separated from each other and have their dual polarization output signals coupled to the same switching element so that the orthogonal outputs from an antenna are available at the same switching element. A controller selects a particularly polarized output signal from each antenna based on a predetermined criterion.

The invention discloses a method for monitoring and resolving three-dimensional ground surface deformation of an industrial and mining area by means of a multi-source SAR image. The method is based on SAR image data of different rails before and after deformation. Deformation information in different radar satellite visual line directions are obtained through combining D-InSAR technology and Offset-tracking technology. Deformation information in different radar satellite azimuth directions is acquired through combining MAI technology and Offset-tracking technology. Based on this fact, different deformation information monitoring precisions in the viewing line direction and the azimuth direction are considered. Weights are determined in a Helmert variance component estimation manner. A three-dimensional land surface deformation conversion model is established and resolved, thereby obtaining a three-dimensional deformation field of the industrial and mining area. The method can settle a problem of easy restriction by factors such as decorrelation and small monitorable deformation gradient. Furthermore, the true ground surface deformation condition is more comprehensively monitored through the multi-source SAR image.