131 results about "Filter factor" patented technology

Optimizers must work with numeric data from a variety of sources including column statistics, estimated filter factors, record counts estimated costs and the like. Embodiments provided herein define and represent any such numeric measurements as a Vector of N dimensions, where n is a number of aspects of measurements that a particular optimizer is configured to consider. A particular embodiment provides a 4-dimensional vector where the dimensions represent magnitude, confidence, variance interval, and penalty. Examples of measurements considered by the optimizer, and which may be represented as a vector, include cost, estimated selectivity of a predicate, estimated number of records returned from part or all of a query, estimated record fanout when joining one file to another, etc.

A wired / wireless communication receiver includes an equalizer through multipath delay estimation and a signal receiving method. The receiver includes a delay spread estimation unit, a factor updating unit, and an equalizer. The delay spread estimation unit estimates a delay spread value of a received signal and uses a symbol boundary information signal to determine a filtering tap length value and a filtering step size value from an estimated delay spread value. The factor updating unit updates filtering factors using the filtering tap length value and the filtering step size value. The equalizer compensates distortion of the received signal using the filtering factors.

A tone control apparatus is provided with a desired filter response input unit 11 for inputting a desired filter response into the tone control apparatus, a spectrum calculating unit 12 for calculating a Fourier spectrum for the set filter response which is inputted by the desired filter response input unit 11, a spectrum smoothing processing unit 13 for performing smoothing processing on the Fourier spectrum calculated by the spectrum calculating unit 12, a cepstrum calculating unit 14 for converting the Fourier spectrum smoothed by spectrum smoothing processing unit 13 into a cepstrum, and an LMA filter 15 to which the cepstrum calculated by the cepstrum calculating unit 14 is set as the filter factor of the LMA filter. The tone control apparatus also has an input terminal 16 for inputting a sound signal into the LMA filter 15, and an output terminal 17 for outputting a sound signal.

A In a noise suppression apparatus, an extractor extracts a noise component from an audio signal. A stationary noise estimator estimates stationary noise included in the noise component. A first noise suppressor removes a spectrum of the stationary noise from a spectrum of the audio signal to an extent determined by a subtraction factor. A non-stationary noise estimator estimates a spectrum of non-stationary noise by subtracting the spectrum of the stationary noise from the spectrum of the noise component. A factor setter generates a filtering factor for emphasizing a target sound component contained in the audio signal from the spectrum of the non-stationary noise. A second noise suppressor performs a filtering process using the filtering factor on the audio signal after processing of the first noise suppressor. An index calculator calculates a kurtosis change index representing an extent of change of kurtosis in a frequence distribution of magnitude of the audio signal between the kurtosis observed when processing of the first noise suppression part is performed and the kurtosis observed when processing of the second noise suppression part is performed. A factor adjuster variably controls the subtraction factor according to the kurtosis change index.

Apparatuses and methods for optimizing access path are provided. Execution of a query statement is sampled to obtain the information about a plurality of executing instances, the information about each executing instance comprises the literal value of the query statement in the instance and the filter factor corresponding to the literal value. The plurality of instances are grouped into a plurality of groups based on the filter factors corresponding to the literal values. The average filter factor of each group and the occurrence frequency of the group are obtained. The candidate access path created for the average filter factor of each group is accordingly obtained, and by taking the occurrence frequencies as weights, the weighted execution cost of each candidate access path is calculated for each group. The candidate access path with the minimum sum of the weighted execution costs for all groups is determined as the optimal access path.

The present invention discloses an improved nuclear signal trapezoidal pulse forming method and device. With the improved nuclear signal trapezoidal pulse forming method and device of the invention adopted, a signal accumulation problem in nuclear signal trapezoidal pulse shaping can be solved, and the accuracy and energy resolution of energy spectrum measurement can be improved. The device comprises a delay unit, a first discrete filter, a second discrete filter, a gain unit and a differentiator; the delay unit is used for performing time delay processing on detector output signals according to a time delay factor to obtain time delay signals; the discrete filters are used for performing discrete filtering processing on the time delay signals according to a discrete filtering factor to obtain discrete filtering signals; the gain unit is used for performing gain compensation on the discrete filtering signals according to a gain factor to obtain compensation signals; and the differentiator is used for performing differential processing on the compensation signals according to a differential factor to obtain trapezoidal pulse signals.

The invention provides a torque filtering method and system for an electric automobile and the electric automobile. The method includes acquiring a torque gradient filtering limit value correspondingto the current driving mode of the automobile; performing gradient limit filtering processing on the total demand torque of the automobile at the current time according to the torque gradient filtering limit value to obtain a first torque; and preforming the first order inertia filtering process on the first torque to obtain the filtered total demand torque. According to the method, correspondingfilter limits and filter factors can be obtained based on different driving modes to process the required torque of the automobile, so that the driving performance and the comfort of the whole automobile are improved.

The present invention relates to an interpolation method and a filtering method which utilize a correlation between pixel signals, and it is an object of the present invention to provide a sharp and high-quality image even if an error occurs in correlation degree judgment. To accomplish the above-mentioned object, an imaging device 10 is of a single-chip type, and includes a RGB Bayer pattern color filter 11, and an image is processed in a manner to be described below. Pixel signals outputted from the imaging device 10 are inputted through a signal processing part 20 to an image processing part 30. A correlation judgment part 31 judges a correlation between the pixel signals, and an interpolation processing part 32 performs a pixel interpolation process based on a correlation result. Thus, each pixel signal becomes a perfect signal having all R, G and B color components. Filter factors for a filter 34 are determined based on the correlation result, and a filtering process is performed on the pixel signals subjected to the pixel interpolation. The filter factors are determined so as to assist the pixel interpolation process best.

There is provided a multi-mode communication system which is operable according to different operating modes, such as GSM and WCDMA. The multi-mode communication system includes first and second switching units, a delta-sigma modulator, an analog-to-digital converter, sequential convolution units and a selection unit. The delta-sigma modulator samples an analog signal, which is inputted through the first switching unit in one mode, into 1-bit digital signal. In another mode, the analog-to-digital converter samples an analog signal, which is inputted through the first switching unit into an n-bit digital signal. The sequential convolution units multiply filter factors with the output of the delta-sigma modulator, which is inputted through the second switching unit at the first mode, and multiply PN codes by the output of the analog-to-digital converter, which is inputted through the second switching unit at the second mode, to generate WCDMA output waveforms. The selection unit delays the outputs of the sequential convolution units by a predetermined time at the GSM mode to restore GSM output waveforms. Accordingly, the multi-mode communication system is operable according to multimodes, such as GSM mode and WCDMA mode.

A method of gamut mapping maps an input image composed of pixels and having an input gamut (IG) defined by input RGB primaries (Ri, Gi, Bi) to a reproduction gamut (RG) defined by reproduction RGB primaries (Ro, Go, Bo). The reproduction gamut (RG) is narrower than the input gamut (IG). An input signal (RGBin) defined with respect to the input RGB primaries (Ri, Gi, Bi) is color transformed (1) into a transformed signal (RGBt) defined with respect to the reproduction RGB primaries (Ro, Go, Bo), whereby color information of the pixels (Pl, P2, P3) within the reproduction gamut (RG) is preserved. Scaling factors (SFi) indicating a distance between on the one hand pixels (Pl, P2, P3) of the transformed signal (RGBt) which are outside the reproduction gamut (RG), and on the other hand an edge of the reproduction gamut (RG) are determined (2). The scaling factors (SFi) of pixels (Pl, P2, P3) of the transformed signal (RGBt) are spatial low-pass filtered (3) to obtain filtered factors (FFi) for these pixels (Pl, P2, P3). Component signal values of the transformed signal (RGBt) of the pixels (Pl, P2, P3) are corrected (4) in response to the filtered factors (FFi) to obtain reproduction signal values (RGBo) which are input values (RGBi) moved towards inside the reproduction gamut (RG).

The invention provides a multiphase filter, a digital signal processing system and a filtering method. The digital signal processing system (100) of the invention comprises a multiphase interpolation filter (101) and an array memorizer (102), wherein the multiphase interpolation filter (101) comprises a filter factor self-adoption processing module (1001) and a filter factor matrix (1002). The multiphase filter, the digital signal processing system and the filtering method of the invention can decrease the filter power dissipation, simplify filter calculation complexity and decrease the system resource cost.

The present invention discloses HF compensating method for seismic signal with seismic microlog. The seismic waveform information is utilized in analyzing spectral characteristic of primary waveform in direct wave and finding out the attenuation features of seismic signal in different depths. Meanwhile, system input and output are used in analyzing absorbing attenuation response of near surface system and performing HF compensation of seismic data. The present invention applies seismic microlog technology in the research of attenuation law of near surface medium, and the waveform characteristic of serial seismic primary waves is used in searching the waveform spectrum variation in different depths, so that one reverse filter factor is found out for the HF compensation of superposed seismic data with artificial seism reflecting signal. The present invention has raised seismic signal distinguishing capacity.

The invention provides a method and a device for applying filtering factor assessment in optimization of an access path in a database. The method for applying the filtering factor assessment in the optimization of the access path in the database comprises extracting a relevance condition from statement sections used for database inquiry, wherein the relevance condition defines a relationship between a variable and a first table; obtaining first statistical information according to the relevance condition and statistical information of the first table; extracting a filtering condition from the statement sections, wherein the filtering condition defines a relationship between the variable and a second table; obtaining second statistical information according to the filtering condition and statistical information of the second table; and assessing a filtering factor of the filtering condition according to the first statistical information and the second statistical information. The device for applying the filtering factor assessment in the optimization of the access path in the database corresponds to the method for applying the filtering factor assessment in the optimization of the access path in the database. The method and the device for applying the filtering factor assessment in the optimization of the access path in the database are capable of accurately assessing the filtering factor of the filtering condition, and thus are beneficial for carrying out the further optimization of the access path.

The sub carrier wave selector (107) selects m sub carrier waves from n sub carrier waves of signal. The filter factor calculator (108) calculates the filter factor used to forecast the signal channel via the signals of m sub carrier waves; the filter factor average part (301) averages said m filter factors; and the signal channel forecast part (109) uses average filter factor to forecast the future signal channel frequency response of all sub carrier waves.

The invention discloses a system and method of sub strip impulse dip point noise reduction. It uses first access sampling signal and second access sampling signal which are outputted by two non-directing microphones separately minus second access sampling signal and first access sampling signal which have been time-delayed to obtain forward directing signal and rear directing signal; it then decomposes it into many fore-and-after sub strip signals; impulse filter does multiplication with the corresponding strip rear sub strip signal and impulse filter factor and outputs the adjust signal of rear sub strip; accumulator uses each strip's foreword sub strip signal minus rear sub strip adjust signal and outputs it; at last synthesis filter set accumulates the outputs of accumulator and outputs the signals. The dip spots of different strip can align several noise sources at the same time to assure controlling the noise of output signals.

A digital satellite broadcast receiver capable of an optimum signal reception even when an arbitrary outdoor unit is connected. Please noise characteristics of an outdoor unit connected to a digital satellite broadcast receiver when receiving a burst symbol is estimated based on a bit error rate of an 8PSK modulation signal determined by a trellis decoder (7) when a CNR measured by a CNR measurement circuit (5) is equal to a preset value, and, based on the estimated phase noise characteristics of the outdoor unit, a filter factor of a loop filter (9) inserted into a carrier regenerative loop is set.

A method for improving heterogeneous network switching performance includes that a UE (user equipment) measures RSRP (reference signal received power) and RSQR (reference signal received quality) in each symbol in a single subframe; the averaged RSRP subjected to linear additivity and the averaged RSQR subjected to linear additivity are filtered for the first time to acquire a first measured value; the first measured value is filtered for the second time to acquire a second measured value by combining a filter factor k; the UE initiatively reports auxiliary information including corresponding information of the second measured value, and a network side performs switching judgment according to the auxiliary information. By the method, the heterogeneous network switching performance can be improved, while compromise of switching failure and short stay rate can be achieved.

The present invention discloses a method for implementing optimum coupling and matching with earth surface by utilizing special coupling detector. Said method includes the following steps: in accordance with work area earth surface medium parameter designing a detector base which can be coupled with earth surface instead of detector tail cone, in the same receiving arrangement utilizing the seismic detector with concrete base and conventional detector with ferruginous tail cone which is positioned on adjacent channel to make observation under the identical condition so as to obtain the comparable seismic records, using the record of detector with concrete base which is obtained under the identical condition as desired output of record of conventional detector with ferruginous tail cone, utilizing principle of minimum square filter to solve optimum coupling matching filter factor, then making the seismic records obtained by all the conventional coupling detectors undergo the process of matching filtering treatment so as to obtain optimally-coupled and received signal.

The embodiments of the present invention disclose a seismic data processing method and apparatus. The method comprises the following steps that: static correction processing is performed on seismic trace gather data collected by a hydrophone; first offset imaging processing is performed on the seismic trace gather data which have been subjected to the static correction processing, and first superposition processing is performed on at least two seismic trace data in the seismic trace gather data which have been subjected to the first offset imaging processing, so that first synthetic seismic trace data can be obtained; a filtering factor is determined based on the first synthetic seismic trace data; time difference correction is performed on the seismic trace gather data which have been subjected to the static correction, second offset imaging processing is performed on the seismic trace gather data which have been subjected to the time difference correction, and second superposition processing is performed on at least two seismic trace data in the seismic trace gather data which have been subjected to the second offset imaging processing, so that second synthetic seismic trace data can be obtained; and convolution is performed on the filtering factor and the second synthetic seismic trace data, so that target synthetic seismic trace data can be obtained. With the seismic data processing method and apparatus provided by the technical schemes of the invention adopted, the effective removal of virtual reflection waves can be realized.

The present invention discloses a method for reducing a training set of machine learning. The method comprises the following steps: (1) defining a central formula of a class A, wherein the central formula is as shown in the specification, S is the number of samples in class A, and Xi is vectors of the samples in class A; (2) calculating a central point p of class A; (3) taking out a vector point x from class A, calculating a distance d between the vector point x and the central point p, and if d is less than a filter factor lambda, deleting x from class A; (4) repeating step (3) to check all vector points in class A, and if the number S of remaining vector points is less than a threshold alpha, performing step (6), and if the number S of remaining vector points is larger than the threshold alpha, performing step (5); (5) repeating steps (2), (3) and (4), and then performing step (6); and (6) outputting the remaining vector points in class A as a new training set. According to the method provided by the present invention, the speed of machine learning is improved, the memory overhead is reduced, and the accuracy of classification is improved.

In a base station apparatus, an upstream Doppler shift estimating part (104) estimates the Doppler shift amount of a received signal, an upstream filter factor deciding part (108) decides a filter factor from the Doppler shift amount, and a control signal producing part (109) produces and transmits a control signal indicative of the filter factor to a communication terminal apparatus. In the communication terminal apparatus, a control information extracting part (112) extracts the filter factor from the control signal, and an averaging part (113) averages, in a time period based on the filter factor, instantaneous power values determined by an instantaneous power measuring part (111) and calculates a noise power value. A radio quality informing part (114) transmits to the base station apparatus a signal indicative of a radio quality based on the averaged power value and noise power value. In the base station apparatus, a transmission method deciding part (105) decides, based on the radio quality, a modulation scheme and a coding rate. In this way, the reliability of the radio quality informed to the base station apparatus can be raised and the modulation scheme decided based on the radio quality can be optimized.

This invention relates to a method for applying an adaptive method to suppress image noises including utilizing the inter-field recursive method to find out edges of the image and present diameter and direction of the edges by computing the brightness correlation of being selected pixel points, utilizing the image blanking period information to estimate the noise grade of the local field image, selecting related filter factors to filter to get the noise reduction result. This invention can apply filter factors with different strength to different pollutant degrees of images to get a more natural image result.

A method of gamut mapping maps an input image composed of pixels and having an input gamut (IG) defined by input RGB primaries (Ri, Gi, Bi) to a reproduction gamut (RG) defined by reproduction RGB primaries (Ro, Go, Bo). The reproduction gamut (RG) is narrower than the input gamut (IG). An input signal (RGBin) defined with respect to the input RGB primaries (Ri, Gi, Bi) is color transformed (1) into a transformed signal (RGBt) defined with respect to the reproduction RGB primaries (Ro, Go, Bo), whereby color information of the pixels (P1, P2, P3) within the reproduction gamut (RG) is preserved. Scaling factors (SFi) indicating a distance between on the one hand pixels (P1, P2, P3) of the transformed signal (RGBt) which are outside the reproduction gamut (RG), and on the other hand an edge of the reproduction gamut (RG) are determined (2). The scaling factors (SFi) of pixels (P1, P2, P3) of the transformed signal (RGBt) are spatial low-pass filtered (3) to obtain filtered factors (FFi) for these pixels (P1, P2, P3). Component signal values of the transformed signal (RGBt) of the pixels (P1, P2, P3) are corrected (4) in response to the filtered factors (FFi) to obtain reproduction signal values (RGBo) which are input values (RGBi) moved towards inside the reproduction gamut (RG).

An image input module inputs image signals which have different sampling rates. Based on a predetermined processing flow, a filter processing module carries out a filter processing by a predetermined filter factor on the image signals which are inputted by the image input module. A plurality of filter factors which are used at the filter processing module are set at a filter factor setting module. A filter factor selecting module selects, from among a plurality of filter factors, an appropriate filter factor in accordance with the sampling rates of the image signals and the processing flow, and supplies them to the filter processing module.

The invention provides a compensation method for unbalanced broadband intermediate frequency signal amplitudes. Intermediate frequency signals are input into an FPGA, and amplitude values of all frequency points are generated through the FPGA. A PC reads amplitude values corresponding to N1 frequency points respectively from the FPGA, and an amplitude sequence A (i) is generated. The amplitude sequence A (i) with the length of N1 is expanded to be N2 long and is normalized to obtain an amplitude sequence B (i). The B (i) is multiplied by a standard amplitude-frequency response S (i) to obtain an amplitude sequence C (i). Windowing and IFFT are carried out on the amplitude sequence C (i) through the PC, the length is N2, and N3 data in the middle are selected as a filter factor sequence h (i). The filter factor sequence h (i) is loaded into a compensation filter in the FPGA through the PC. An output signal of the compensation filter in the FPGA is a sampling sequence after unbalance amplitude compensation.