97 results about "Matrix coefficient" patented technology

A control system simultaneously controls a multi-zone process with a self-adaptive model predictive controller (MPC), such as temperature control within a plastic injection molding system. The controller is initialized with basic system information. A pre-identification procedure determines a suggested system sampling rate, delays or “dead times” for each zone and initial system model matrix coefficients necessary for operation of the control predictions. The recursive least squares based system model update, control variable predictions and calculations of the control horizon values are preferably executed in real time by using matrix calculation basic functions implemented and optimized for being used in a S7 environment by a Siemens PLC. The number of predictions and the horizon of the control steps required to achieve the setpoint are significantly high to achieve smooth and robust control. Several matrix calculations, including an inverse matrix procedure performed at each sample pulse and for each individual zone determine the MPC gain matrices needed to bring the system with minimum control effort and variations to the final setpoint. Corrective signals, based on the predictive model and the minimization criteria explained above, are issued to adjust system heating / cooling outputs at the next sample time occurrence, so as to bring the system to the desired set point. The process is repeated continuously at each sample pulse.

Analog pixel signals, which are read out from an image sensor, are subjected to predetermined signal processes, and are converted to digital pixel signals by an A / D converter. The digital pixel signals are separated to RGB signals. The RGB signals are multiplied by a predetermined color matrix coefficient. After that, luminance signals are extracted from the RGB signals. A light adjusting control signal for adjusting the quantity of light is calculated based on the luminance signals. The color matrix coefficient is changed based on the light adjusting control signal.

A generalized framework is disclosed in which a wide variety of propagation models can be cast in a matrix-based format using arbitrary matrix coefficients. Casting propagation models in the matrix-based framework enables efficient computer implementation and calculation, ease of tuning, admissibility, and aggregating multiple propagation models into a single matrix-based model. Matrix-based propagation models based on transmitter-receiver azimuth orientation, transmitter antenna height, terrain elevation, and clutter are also disclosed. The propagation models can be used in conjunction with automated data acquisition from information sources such as topographic maps, clutter maps, etc.

A generalized framework is disclosed in which a wide variety of propagation models can be cast in a matrix-based format using arbitrary matrix coefficients (e.g., real numbers, integers, etc.). Casting propagation models in the matrix-based framework enables efficient computer implementation and calculation, ease of tuning, admissibility (i.e., the tuned parameters of a linear matrix model are guaranteed to be the global optimum), and aggregating multiple propagation models into a single matrix-based model. Matrix-based propagation models based on transmitter-receiver azimuth orientation, transmitter antenna height, terrain elevation, and clutter are also disclosed. The propagation models can be used in conjunction with automated data acquisition from information sources such as topographic maps, clutter maps, etc.

A method derives at least three audio signals, each associated with a direction, from two input audio signals. In response to the two input signals, a passive matrix generates a plurality of passive matrix audio signals, including two pairs of passive matrix audio signals, a first pair of passive amtrix audio signals represent directions lying on a first axis and a second pair of passive matrix audio signals represent direction lying on a second axis, the first and second aces being substantially at ninety degrees to ach other. The pairs of passive matrix audio signals are processed to derive a plurality of matrix coefficients therefrom, The processing includes deriving a pair of intermediate signals and urging each pair of intermediate signals toward equality in response to a respective error signal. At least three output signals are produced by matrix multiplying the two input signals by the matrix coefficients.

A display device configured to realize a high display quality by correcting irregularity, caused by a lighting unit, by signal processing. The target light quantity in a displayed image of the liquid crystal panel is set, the estimated light quantity at each pixel location in the plane of the backlight is calculated, matrix coefficients are calculated based on the estimated light quantity and the target light quantity, image signals are subjected to matrix operations using the matrix coefficients, and the liquid crystal panel is driven by image signals resulting from the matrix operations. Therefore, the light quantity distribution in the displayed image becomes identical to the target light quantity distribution.

It is a structure module amendment method using a cross-modal cross-model, by adjusting the stiffness matrix and the quality matrix of finite element model to make the modal frequencies and mode through calculation match with the actual structure. Therefore for each unit of the finite element model, the stiffness matrix and the quality matrix coefficients have two amendments. Through the comparison of the structural finite element numerical model and experimental actual model, get the correction coefficient of each module, and thus amend the stiffness matrix and quality matrix to achieve the model amendment purpose. The invention has both advantages of adjustment direct and indirect physical matrix without iteration, improving work efficiency. It also can maintain the physical contact between structural models. In addition, the measurement mode required in the method does not require a return of the quality. Combined with the modal parameter identification technologies based on the output response, it can amend the offshore structure model in environment incentives. So the method has more practical value.

In an image pick-up apparatus including an image pick-up unit comprised of color filters having different spectral characteristics, and serving to pick up image of object, there are provided an adjustment unit for adjusting color reproduction value and noise value representing noise feeling, a matrix coefficient determination unit for determining matrix coefficients on the basis of adjustment of the adjustment unit, and a matrix transform processing unit for performing matrix transform processing with respect to image which has been picked up at the image pick-up device unit on the basis of the matrix coefficients.

In an image pick-up apparatus including an image pick-up unit comprised of color filters having different spectral characteristics, and serving to pick up image of object, there are provided an adjustment unit for adjusting color reproduction value and noise value representing noise feeling, a matrix coefficient determination unit for determining matrix coefficients on the basis of adjustment of the adjustment unit, and a matrix transform processing unit for performing matrix transform processing with respect to image which has been picked up at the image pick-up device unit on the basis of the matrix coefficients.

The invention discloses a flux linkage error observation-based acquisition method of a full-order flux linkage observer of an asynchronous motor without a speed sensor and belongs to the field of a speed sensorless vector control full-order flux linkage observer. The problem that the existing speed sensorless vector control system causes low observation accuracy of the full-order flux linkage observer due to larger errors of motor parameters when a motor runs at low speed, and finally, the running stability of the system is poor is solved. A full-order flux linkage observer error feedback matrix coefficient is obtained according to the following rules, namely, the pole real part of the observer is smaller than the pole real part of an asynchronous motor, the real parts are both negative numbers, the zero pole real parts of an estimation rotation speed and a transfer function are both negative numbers, the error between an estimation flux linkage and a real flux linkage is utilized, when the motor runs at low speed, the equivalence of the system is a current model, and when the motor runs at high speed, the equivalence of the system is a voltage model. The rotor flux linkage phase position error coefficient ilambda is utilized and the rotor flux linkage amplitude error coefficient k is introduced, so that the estimation rotating speed precision is increased. The flux linkage error observation-based acquisition method of the full-order flux linkage observer of the asynchronous motor without the speed sensor is particularly used in the field of speed sensorless vector control.

This invention relates to an endoscope image sensing apparatus which can switch suitable color matrixes in accordance with the type of observation region, the type of light source used, or the like, and obtain good color reproduction corresponding to the type of observation region or the type of light source used. This apparatus uses a one-chip color CCD as an image sensing means. A CPU reads out corresponding color matrix coefficients from a ROM, and outputs the coefficients to a color separation circuit. The color separation circuit executes a matrix computation based on the color matrix to convert luminance and color difference signals into primary color signals.

A digital camera which performs digital processing on an image obtained by image capturing has a three-dimensional lattice point data table for image data conversion processing. The digital camera holds a matrix coefficient set for performing the conversion processing by matrix operation. In the respective lattice points of the three-dimensional lattice point data table, values corresponding to the conversion processing with the matrix coefficient set are set. Then a raw image file, including compressed image data obtained by lossy compression on the image data converted by the conversion processing and the held matrix coefficient set, as attendant information, is generated.

A deep learning-based MIMO system beamforming matrix design method comprises the following steps: firstly obtaining a training sample set required by the deep learning network by using a known algorithm; then constructing a deep learning neural network model, initializing the model related parameters, and training by using the training sample set; acquiring a channel by the pilot, sending the channel to the neural network to predict beamforming matrix coefficients, and finally combining the channel with the beamforming matrix coefficients to form a beamforming matrix. The method using the beamforming matrix obtained by the deep learning neural network can simultaneously balance the performance and algorithm complexity, and can reduce the delay under the premise of ensuring performance, sothat the MIMO system can provide real-time services.

A multidimensional equalizer and cross talk canceller for a communication network that simultaneously removes far end cross talk NEXT) and intersymbol interference (ISI) from a received signal. A multidimensional-pair channel is treated as a single multidimensional channel and a receiver in the communication network equalizes received signals through the use of the multidimensional equalizer. A decision feedback equalizer determines a multidimensional steepest descent gradient to adjust matrix coefficients.

An adjusting circuit comprises: a correction circuit for correcting the fluorescent intensities of the individual three primaries independently with changeable correction values to change a white color temperature; a matrix operation circuit for performing matrix operations on three color signals corresponding to the individual three primaries using the three color signals inputted and changeable matrix coefficients, thereby to output three new color signals; and a control circuit for making a control to change said matrix coefficients and said correction values in conjunction with the change in each other.

A V-LED, B-LED, G-LED and R-LED for an endoscope are all driven to apply normal light to an object of interest in a body. An image sensor images the illuminated object and outputs an RGB image signal. A measurement sensor measures a light amount of red light from the R-LED. A light source controller acquires a current value for the R-LED according to a light amount signal from the measurement sensor and a target light amount signal for the R-LED. A normal color converter and the R-LED receive a current of the current value. Each LUT_Mij in the normal color converter is referred to for outputting a matrix coefficient according to the current value of the R-LED. The RGB image signal is converted into a processed image signal by matrix operation according to the matrix coefficient.

The matrix coefficient determining process of the present invention can determine linear matrix and color-difference matrix coefficients appropriate for a given type of light source at the same time. The coefficients can be used to perform color correction of RAW data to ensure good color reproduction. Furthermore, by performing the matrix coefficient determining process for a number of types of light sources, optimum color reproduction coefficients and for each of the light sources can be obtained.

Methods are disclosed for supporting stereo 3D video in computing devices. A computing device can receive stereo 3D video data employing a YUV color space and chroma subsampling, and can generate anaglyph video data therefrom. The anaglyph video data can be generated by unpacking the stereo 3D video data to left and right views and combining the left and right views into a single view via matrix transformation. The combining uses transform matrices that correspond to a video pipeline configuration. The transform matrix coefficients can depend on characteristics of the video pipeline components. Modified transform matrix coefficients can be used in response to changes in the video pipeline configuration. Video encoded in stereo 3D video data can be selected to be displayed in stereo 3D, anaglyph or monoscopic form, depending on user input and / or characteristics of video pipeline components.

The matrix coefficient determining process of the present invention can determine linear matrix and color-difference matrix coefficients appropriate for a given type of light source at the same time. The coefficients can be used to perform color correction of RAW data to ensure good color reproduction. Furthermore, by performing the matrix coefficient determining process for a number of types of light sources, optimum color reproduction coefficients and for each of the light sources can be obtained.

The invention discloses an efficient circular polarization beam splitter. One specific implementation manner of the circular polarization beam splitter comprises steps of based on Jones matrix theory analysis, realizing matrix coefficients of efficient transmission and efficient reflection of circular polarization waves of different rotation directions simultaneously; designing a unit meeting the matrix coefficients, wherein the unit comprises three metal layers and two layers of medium, the first metal layer and the third metal layer are quarter-wave plates of an I structure and are mutually conjugate, and the second metal layer is a linear polarization converter; when a right-hand circular polarization wave enters the unit, and a reflected wave carries a Pancharatnam-Berry (PB) operator, rotating the unit to control a phase of the reflected wave; and designing, based on the unit, the circular polarization beam splitter so as to realize efficient transmission of a left-hand circular polarization wave and efficient singular reflection of the right-hand circular polarization wave. The circular polarization beam splitter has high working efficiency, over 90%, for both the left-hand circular polarization wave and the right-hand circular polarization wave.

A digital imaging device captures an image and generates a color signal from the image for application to an output device having specific color sensitivities, the imaging device further being one of many devices of the same type useful with the output device. The digital imaging device, for example a digital camera, includes a color sensor for capturing the image and generating a color signal from the captured image, the color sensor having predetermined spectral sensitivities, and an optical section that is interposed in the image light directed to the color sensor, the optical section also having predetermined spectral characteristics. The combination of the spectral sensitivities of the color sensor and the spectral characteristics of the optical section uniquely distinguish this particular imaging device from other imaging devices of the same type. By providing a set of matrix coefficients uniquely determined for this imaging device, the matrix coefficients optimally correct the spectral sensitivities of the color sensor and the spectral characteristics of the optical section for the color sensitivities of the output device.

A process is described which generates matrix coefficients using zero-lag auto and cross-correlations from signals commonly found in echo cancellers. Double-talk and path changes are then detected using matrix operations such as determinants, eigendecompositions, or singular value decompositions (SVDs). In a preferred embodiment, the determinant of the correlation-based matrix is compared against predetermined threshold values.

The invention discloses an array antenna single-point mutual decoupling correction method, which relates to a large array antenna mutual coupling correction technology and is particularly applied to a one-dimensional uniform linear array and a uniform round array. The method comprises the following steps of: arranging a correction signal source for transmitting signals at any direction in a far field, and measuring an incident angle of the correction signal source to a normal direction of an antenna array; transmitting the signal by using the correction signal source, and measuring the output response of each antenna array element; performing simplified transform on a mutual coupling matrix; constructing a cost function, calculating an extremum of the cost function, and obtaining a mutual coupling matrix coefficient; and inversing the mutual coupling matrix, and substituting an inverse matrix coefficient of the mutual coupling matrix into each channel, thereby realizing array antenna single-point mutual decoupling correction. The method has the advantages that: the method is simply implemented, convenient to operate, low in calculated amount and particularly applied to the large array antenna mutual coupling correction of the one-dimensional uniform linear array and the uniform round array; and only the single point response of the antenna array in any direction is required to be measured, and the measurement of the whole directional diagram of an array antenna is not required.

Systems and methods for providing HS-SCCH masking and unmasking operations using user equipment identification field in generating a user equipment specific masking sequence are disclosed. The 1 / 2 rate convolution coding and the rate matching operations required to form the UE specific masking sequence to mask and unmask high speed shared control channel (HS-SCCH) packets are performed in a single operation. Look up tables and matrix coefficients used to provide a simple computation method to generate the needed UE specific masking sequence are provided. Apparatus and methods to use the UE specific masking sequence to unmask the HS-SCCH packets in a packet based radio frequency signaling communication system are disclosed.

The invention discloses a human body composition prediction method based on AIC and improved entropy weight method. The method comprises the following steps: S1, selecting an impedance model, collecting data and constructing an original feature set F of a physiological information sample; S2, adding the original feature set F of the physiological information sample to construct a first feature parameter and a second feature parameter; S3, selecting an AIC stabilization model by use of an akaike information criterion; S4, computing the value of an AIC, and selecting a feature combination with the minimum AIC value to obtain a feature parameter matrix, analyzing the influence of each feature parameter to a fitting model, and modifying the feature parameter matrix; S5, introducing the information entropy to obtain a unified matrix, computing the entropy and the weight; and S6, solving a feature parameter matrix coefficient to obtain a human body composition fitting model. The established human body composition prediction model can improve the human body composition prediction precision and provides more effective detection means for the human body composition research and clinical application.

The present invention provides an image processing device which can reduce a storage capacity and perform color correction in accordance with the types of image. The image processing device of the present invention has an input correction section 6 including: input color correction section 24 for, using a matrix coefficient, correcting strength of signals for color components in image data of a supplied image; a matrix coefficient storage section 26 for storing a plurality of matrix coefficients in accordance with types of image; and control section 25 for reading a matrix coefficient corresponding to the type of a supplied image out of the matrix coefficients stored in the matrix coefficient storage section 26 and setting the matrix coefficient that has been read in the input color correction section 24.

The invention discloses a method for embedding a blockchain ledger in audio digital watermarking. The method comprises the following steps: I, selecting separators, block sizes, head structures of blocks and transaction details as ledger information and watermarking information and combining the information so as to achieve quantization and coding of watermarking containing a blockchain data; II,reducing dimensions of the blockchain ledger information and watermarking information obtained from quantization and coding, transforming a frequency domain of original audio and implementing quantization and coding once again, so that new matrix coefficient coding is formed, and implementing frequency domain inverse transformation so as to obtain final audio watermarking containing the blockchaininformation, so that blockchain watermarking embedding is completed; and III, updating watermarking information in the blockchain by updating a data value in the blockchain information, so as to facilitate tracking and to acquire a performance that can not be arbitrarily modified. According to the method provided by the invention, quantized information of the blockchain ledger, as one part of thewatermarking information, is embedded into a transformation domain of the audio signal, so that the integrity of the watermarking can be kept in a transfer process and a bit error rate in data extracting can be reduced.

The invention relates to a hydrodynamic analysis method for a porous structure, which comprises the following steps: S1, establishing a porous structure hydrodynamic analysis mathematical model basedon a potential flow theory and a porous medium theory; S2, establishing a linear equation set by matching the velocity potential on the boundary, and reconstructing a matrix coefficient by using a bounding channel integral technology; and S3, determining an undetermined coefficient in the speed potential by solving an equation set, and calculating a reflection coefficient, a transmission coefficient and an energy dissipation coefficient of the porous structure. According to the porous structure hydrodynamic analysis method provided by the invention, the matrix coefficient in the equation set is reconstructed through the enclosure integral technology, and the root of the complex dispersion equation is not needed in the calculation after reconstruction, so that the problem of solving the complex dispersion equation is completely avoided. Compared with a traditional analysis method based on separation variables, the method is simpler and more convenient to implement, a rapid and effectivemeans is provided for hydrodynamic characteristic analysis of the porous structure, and an analysis result can provide scientific guidance for actual engineering design.

An audio playback system generates output signals for multiple channels of acoustic transducers by applying a rendering matrix to data representing the aural content and spatial characteristics of audio objects, so that the resulting sound field creates accurate listener impressions of the spatial characteristics. Matrix coefficients are updated to render moving objects. Discontinuous updates of the rendering matrix coefficients are controlled according to psychoacoustic principles to reduce audible artifacts. The updates may also be managed to control the amount of data needed to perform the updates.