4329 results about "Weighting coefficient" patented technology

A method of performing digital beam forming on the radiation pattern of an array antenna using a plurality of antenna elements, each antenna element being coupled to a signal processing chain. A weighting phase is used in which at least a complex weight coefficient is applied to a digital signal in a corresponding signal processing chain. The digital signal is an intermediate frequency digital signal, and the weighting phase has the following steps: a) duplicating the digital signal into a first and a second digital signal; b) processing the first and second digital signals by multiplying the first and second digital signals respectively by a real and an imaginary part of the complex weight coefficient; applying a Hilbert transform to that signal which is multiplied by the imaginary part of the complex weight coefficient; and c) combining the processed first and second digital signals into a weighted digital intermediate frequency signal by subtracting the second signal from the first signal.

A method and system for analog beamforming in a wireless system is provided. Analog beamforming involves performing an iterative beam acquisition process based on beam search training, determining transmit and receive beamforming vectors including phase weighting coefficients, based on the iterative beam acquisition process. Each iteration includes estimating the receive and transmit beamforming coefficients alternatively, until the receive and transmit beamforming coefficients converge.

A device and method that serve to generate an accurate evaluation-value table and to detect a correct motion vector are provided. A weight coefficient W is calculated on the basis of correlation information of a representative-point pixel and flag-correlation information based on flag data corresponding to pixel-value difference data between a subject pixel and a pixel in a neighboring region of the subject pixel. A confidence index is generated on the basis of the weight coefficient W calculated and an activity A as an index of complexity of image data, or a confidence index is generated on the basis of similarity of motion between the representative point and a pixel neighboring the representative point, and an evaluation value corresponding to the confidence index is accumulated to generate an evaluation-value table. Furthermore, correlation is checked on the basis of positions or pixel values of feature pixels neighboring the subject pixel to determine a motion vector.

The invention relates to a Rake receiver of a CDMA system using IRC. The Rake receiver comprises at least two antenna branches, at least one Rake finger, and a delay estimator. The delay estimator comprises a despreader and an allocator for selecting at least one delay, and allocating a Rake finger for processing the signal component found by informing the Rake finger of the delay found. The delay estimator further comprises: a channel estimator, an interference estimator for generating an interference signal, a weighting coefficient part for providing each antenna branch with weighting coefficients maximizing the Signal-to-Interference-and-Noise Ratio, a multiplier for multiplying the pilot part by a weighting coefficient, and an antenna branch summer for combining the despread pilot parts, received via the separate antenna branches and multiplied by the weighting coefficient, to one combined pilot signal, on which combined pilot signal the selection is based in the allocator.

The invention relates to a cable multimode safe operation evaluation method based on a fuzzy analytic hierarchy process (FAHP). The evaluation method comprises the following steps of: establishing a power cable safety evaluation index system, establishing a power cable safety evaluation index comment set, and establishing a judgment matrix; judging matrix consistency check, and if the matrix does not meet consistency, returning the previous step; if the matrix meets the consistency, entering the next step; calculating a weight coefficient; and carrying out fuzzy comprehensive judgment, and determining an operating mode of the cable by maximum degree of membership. Multimode parameters are utilized to do safety evaluation on the operating mode of a power cable, and can relatively comprehensive evaluate system operation, and the evaluation method is simple and safe and reliable; and a cable multimode safe operation evaluation model is established based on the fuzzy analytic hierarchy process (FAHP) and can correctly do safety evaluation on a cable system, thereby being beneficial to finding out potential safety hazard existing in the power cable for staff in time, thus having a certain practical significance and a good development prospect.

A method and system for analog beamforming in a wireless system is provided. Analog beamforming involves performing an iterative beam acquisition process based on beam search training, determining transmit and receive beamforming vectors including phase weighting coefficients, based on the iterative beam acquisition process. Each iteration includes estimating the receive and transmit beamforming coefficients alternatively, until the receive and transmit beamforming coefficients converge.

The invention provides in one aspect methods and apparatus for use with C-arm and other CT systems, e.g., with non-rigid geometries. In such systems, by way of example, calibration can be performed to determine the exact position of the x-ray source and the exact orientation of the detector where each projection measurement is made. Next, a weighting coefficient can be determined for the voxels in each plane of a reconstruction volume at every possible projection. Finally, the order in which to process the voxels during image reconstruction can be determined. Following an actual CT scan procedure in which scans are obtained of a volume to be constructed, a system according to these and related aspects of the invention can use an optimal, pre-calculated processing method, while utilizing offsets and weighting coefficients determined during calibration, for performing backprojection image reconstruction.

An optical transmission network includes an optical transmitter photonic integrated circuit (TxPIC) chip, utilized in an optical transmitter and has a plurality of monolithic modulated sources integrated for multiple signal channels on the same semiconductor chip is provided with channel equalization at the optical receiver side of the network that permits one or more such integrated modulated sources in the TxPIC chip to be out of specification thereby increasing the chip yield and reducing manufacturing costs in the deployment of such TxPIC chips. FEC error counts at the FEC decoder on the optical receiver side of the network includes counters that accumulate a plurality of bit pattern-dependent error counts based on different N-bit patterns in the received data bit stream. The accumulated counts of different N-bit patterns are utilized to provide for corrections to threshold and phase relative to the bit eye pattern as well as provided for weight coefficients for the optical receiver equalization system. The deployment of this type of equalization in a digital OEO REGEN network substantially reduces, if not eliminates, the need for dispersion compensating fiber (DCF) or EDFAs in an optical link of the network and enhances the optical receiver tolerance to chromatic dispersion (CD) so that an increase in chip yield is realized for TxPIC chips not operating with acceptable operational parameters, particularly with a desired frequency chirp parameter relative to at least one of the TxPIC modulated sources.

Servers are allocated for use in one of a plurality of compute-resources or for stand-by storage in a free-pool. Server load metrics are selected (e.g., ping-reply time or CP utilization) for measuring load in the servers. Metrics are measured for the servers allocated to the compute-resources. Several metrics can be measured simultaneously. The metrics for each compute-resource are normalized and averaged. Then, the metrics for each compute-resource are combined using weighting coefficients, producing a global load value, G, for each compute-resource. The G value is recalculated at timed intervals. Upper and lower thresholds are set for each compute-resource, and the G values are compared to the thresholds. If the G value exceeds the upper threshold, then a server in the free-pool is reallocated to the compute-resource; if the G value is less than the lower threshold, then a server is moved from the compute-resource to the free-pool.