5574 results about "Correlation coefficient" patented technology

An apparatus and a method for Envelope Tracking (ET) power amplification in a wireless communication system are provided. The apparatus includes a baseband signal controller for outputting an envelope signal in an envelope signal path and outputting a constant signal in a baseband signal path when measuring a time delay of the envelope signal path, and for outputting a constant signal in the envelope signal path and outputting a baseband signal in the baseband signal path when measuring a time delay of the baseband signal path, a time delay difference measurer for measuring a time delay of each path by calculating a correlation coefficient between the envelope signal path and the baseband signal path and a signal time controller for setting a time delay in a corresponding path using the time delay difference of each path and aligning times.

A process for distributing digital still images according to a nominal format, where each image is broken into blocks and macroblocks that depend upon each other by correlation coefficients including analyzing contents of the still images to generate two parts: a) a primary contents in nominal format corresponding to the image as modified by substitution of certain correlation coefficients with coefficients that are of the same type, but which are random, and b) additional digital nature of any format, which includes substituted correlation coefficients and digital data that are likely to allow reconstruction of the modified image; transmitting separately the modified primary contents in real or deferred time and additional digital information in real time at a moment of viewing from a server towards recipient equipment; and calculating a synthesis of contents of the recipient equipment that is in nominal format as a function of the modified primary contents and the additional data.

The present disclosure relates generally to a data enrichment service that automatically profiles data sets and provides visualizations of the profiles using a visual-interactive model within a client application (such as a web browser or mobile app). The visual profiling can be refined through end user interaction with the visualization objects and guide exploratory data visualization and discovery. Additionally, data sampling of heterogeneous data streams can be performed during ingestion to extract statistical attributes from multi-columnar data (e.g., standard deviation, median, mode, correlation coefficient, histogram, etc.). Data sampling can continue in real-time as data sources are updated.

Pulse wave signal data expressing the pulse wave of a subject and body movement signal data expressing body movements of the subject are obtained so that a correlation coefficient expressing the degree of correlation between the pulse wave signal data and the body movement signal data is calculated. One or more pieces of the pulse wave signal data in which the correlation coefficient is equal to or larger than a predetermined threshold value are eliminated.

An apparatus and method to detect a blood flow signal free from a motion artifact, and a stress test apparatus using the same, enhance data reliability of the blood flow signal by removing the motion artifact from the blood flow signal detected by photo-plethysmography. The apparatus to detect the blood flow signal includes a base pattern correlation coefficient calculating unit to determine peak points in the blood flow signal sensed from a body of an examinee using a blood flow sensing unit, and to calculate correlation coefficients of each peak point using a predetermined base pattern, and a motion artifact processing unit to determine the motion artifact using the calculated correlation coefficients and to remove the motion artifact from the blood flow signal. Thus, reliability of the blood flow signal is enhanced by effectively removing the motion artifact from the blood flow signal detected by the photo-plethysmography.

A sleep apnea syndrome diagnosing device disclosed herein comprises: a snoring sound collector which collects snoring sound; a snoring sound holder which holds the collected snoring sound; a correlation coefficient calculator which divides a time axis of the snoring sound held in the snoring sound holder into plural cycles and which sequentially calculates a correlation coefficient between the snoring sound of one cycle and the snoring sound of a cycle next to the one cycle; and an output section which outputs the correlation coefficient calculated by the correlation coefficient calculator.

The present invention is directed generally toward the field of spectral analysis and, more particularly, toward an improved method of identifying unknown components of a mixture from a set of spectra collected from the mixture using a spectral library including potential candidates. For example, the present method is directed to identifying components of a mixture by the steps which comprise obtaining a set of spectral data for the mixture that defines a mixture data space; ranking a plurality of library spectra of known elements according to their angle of projection into the mixture data space; calculating a corrected correlation coefficient for each combination of the top y ranked library spectra; and selecting the combination having the highest corrected correlation coefficient, wherein the known elements of the selected combination are identified as the components of the mixture.

A subject judgment program is capable of reducing the calculation load on a computer functioning as a device for judging the subject in a subject image. In a controller of a digital still camera, when a CPU running the subject judgment program (stored in a flash memory) obtains image data from an A/D converter via a first interface circuit, the CPU generates two-dimensional distribution data of product-moment correlation coefficients for each of model image data stored in the flash memory by successively calculating the product-moment correlation coefficient between the model image data and each part of the obtained image data, identifies a piece of model image data corresponding to two-dimensional distribution data having the highest maximum value, and thereby identifies subject information which has been associated with the identified model image data.

Methods and systems for performing comprehensive predictive analysis and modeling in a wager gaming environment are provided. Statistical calculations for deriving predictive values for a patron behavior in a casino or gaming environment may include various criteria, including but not limited to wager gaming activities, resort/hotel usage, dining/meals, non-gaming point of sale transactions, entertainment expenditures, coupon/prize redemption, “comps” provided, etc. In some implementations, a plurality of predictive models may be used. One or more criteria may be used to evaluate and/or rank the predictive models. For example, such an evaluation and/or ranking may be based, at least in part, on a correlation coefficient or a function thereof. In some such implementations, an evaluation and/or ranking may be based, at least in part, on a comparison of the coefficient of determination, R², corresponding to each predictive model.

The present invention generally relates to the field of wireless communication systems. It particularly refers to a spatial diversity transmitter (110) and a spatial diversity receiver (120) in a wireless multiple-input multiple-output (MIMO) spatial multiplexing system as well as a corresponding method for wirelessly transmitting and receiving modulated RF signals via multiple wireless signal propagation paths (P_l) of a multipath fading channel in a way that correlation between the MEMO channel components are reduced and/or the signal to interference plus noise ratio (SINR) is increased which hence result in an improved bit error rate (BER) or packet error rate (PER) performance of said wireless MIMO spatial multiplexing system. On the receiver side, for example, this is achieved by controlling at least one antenna switching and/or combining means (121a′+b′) to select a specific combination of different fixed beam antennas (121a+b) from each receiver-resident antenna array. According to the invention, said selection is based on estimated values of the channel impulse responses (h_l(τ_l, t)) for said signal propagation paths (P_l). An antenna beam selection control means (129) is configured for selecting a specific antenna beam combination so as to maximize the average signal-to-interference-plus-noise ratios ( γ_l) of RF signals (r_l(τ_l, t, φ_l)) received via said multiple wireless signal propagation paths (P_l) and/or to minimize the correlation coefficients (ρ_{r<sub2>l1</sub2>r<sub2>l2</sub2>}(t)) indicating the correlations of different pairs of these RF signals (r_l1(τ_l1, t, φ_l1) and r_l2(τ_l2, t, φ_l2)).

Thereby, each fixed beam antenna (121a+b) of the receiver-resident antenna arrays has a distinct radiation pattern with a different beam center and/or beam width in the azimuth and/or elevation plane, wherein a superposition of all these radiation patterns may cover all possible azimuthal (φ) and/or elevational angles of arrival (θ) of an RF signal (s(t)).

For compensating detected multipath fades in the channel amplitude response (|H_l(f, t)|) of at least one signal propagation path (P_l) between the spatial diversity transmitter (110) and the spatial diversity receiver (120), a receiver-resident channel estimation and/or equalization circuitry (124, 128) is applied.

An integrated rainfall calculation method using X-band dual-polarimetric radar measurement data includes a precipitation classification step of classifying hydrometeors into four types of snow, rain/snow, rain and non-meteorological target through a fuzzy logic technique using a correlation coefficient (cross correlation coefficient, ρ_hv), features of a measured differential propagation phase (Ψ_dp(r)) or differential propagation phase (φ_dp) and a signal-to-noise ratio (SNR) as input variables (input feature vector); a specific differential phase calculation step of separately calculating a specific differential phase by applying a specific differential phase using a total difference of differential phase and signal-attenuation corrected reflectivity for the rain among the classified hydrometeors and applying a specific differential phase calculated using a filtering method for the other hydrometeors; and a rainfall calculation step of calculating rainfall by using a relation between the specific differential phase and the rainfall and using the separately calculated specific differential phase.

Codes to be detected can be identified at high speed. The supply of the data shift clock (DCLK1) to be given to the matched filter (82) is stopped at desired timing to hold the received signal (S10) and replica code generated at the correlation coefficient generator (83) is switched to the first, second or third replica code at desired timing to detect the correlation value of that time. Thereby, the second code, the third code and the first code are detected in order to detect the timing and the code type of the first code. Therefore, each correlation detection can be conducted at the same timing since the matched filter conducts the correlation detection at high speed holding the received signal and thus, the first code included in the received signal can be identified at higher speed than before.

Data are acquired using multi-array logging tool in a borehole having an angle of inclination to a normal to the bedding plane of earth formations. The multi-array measurements are filtered using angle dependent filters to give a filtered curve corresponding to a target one of the multi-array measurements using angle dependent filters. Correlation coefficients are determined for a set of possible dip angles and a relative dip angle is estimated from the correlation coefficients. This dip angle estimate together with bed boundaries obtained from the multi-array measurements are used for inverting multi-component measurements alone or jointly with multi-array measurements to refine the relative dip angle interpretation and give horizontal and vertical formation resistivity.

An auto-learned hierarchy algorithm that learns the hierarchical layout of a power monitoring system. Historical power data from each meter is received and placed into a data table. The main is assumed to be at the top of the hierarchy and is designated as the reference. A check matrix is developed indicating whether a possible connection exists between each meter pair combination. A correlation coefficient matrix (CCM) is calculated based on the data table, and entries in which no connection is possible are zeroed. The column for the reference meter from the CCM is copied to a correlation reference array (CRA), and the meter having the highest correlation with the reference meter in the CRA is marked as connected to the reference meter in a connection table. That meter's power is subtracted from the data table and the procedure is repeated until all meters have been analyzed.

A statistic DB creation processing section creates a statistic traffic DB, based on past actual traffic data (probe DB or VICS DB), and stores it in a statistic DB storage section. A reference-link-candidate extraction processing section extracts a complement target link (temporal missing link) from the statistic traffic DB, and further extracts complementary-reference-link-candidates for the complement target link, according to plural extraction rules to extract complementary-reference-link-candidates. A complement-evaluation application processing section calculates correlation coefficients of the statistic traffic data of the complementary-reference-link-candidates to the statistic traffic data of the complement target link for the respective extraction rules, assigns a priority order to the extraction rules in the order of higher correlation coefficient, and complements the missing data of the statistic traffic data of the complement target link by the use of the statistic traffic data of the complementary reference link extracted by the extraction rule of the highest priority.

The invention belongs to the detection field, and relates to an ultrasonic wave flow rate detecting system and a detecting method, in particular to a high-precision fluid flow rate ultrasonic wave detecting system and a detecting method. The ultrasonic wave flow rate detecting system includes a system control part, a circuit part and an auxiliary device. The ultrasonic wave flow rate detecting method is characterized in that an improved time difference method is adopted for calculating the speed of a fluid; the delay window reception technique is adopted, and the influence of noise on the detection precision during detection is reduced through pulse width detection; and as the resolution of measuring time for the system is further improved through the adoption of the interpolation correlation method and the correlation coefficient judgment method, and reaches 1.25ns, the accuracy and the precision of the ultrasonic flow-meter are remarkably improved. The detecting system provided by the invention has the characteristics of small size, low power consumption, stable and reliable measurement and the like; the precision reaches 0.5; the sensitivity attains 0.3mm/s; and the system is suitable for measuring the flow rates and the flow velocities of various liquids in plastic or metal pipes with diameters being 25mm-8m.

The invention discloses a method for evaluating the reliability of a stepping stress quickened degradation experiment based on a time sequence. The method utilizes a correlation coefficient stationary sequence analytical method to describe non-equidistant stochastic information in stepping stress quickened degradation experiment data, establishes a regressive-non-equidistant autoregression degradation model on the basis of obtaining the respective advantages of a deterministic regression model and a stochastic correlation coefficient stationary sequence autoregression model, combines a grey theory to predict a product degradation trend and forms a function and a curve for predicting the life and evaluating the reliability of the stepping stress quickened degradation experiment based on the time sequence. The method obviously decreases the sample quantity of a product and shortens the time of the degradation experiment, thereby saving a large amount of expenses and resources, enhancing the fitting accuracy of the degradation model and enhancing the reliability of a reliability evaluating result.

A method to determine the location of a robot using an omni-directional image, the method including acquiring an omni-directional image from a robot, extracting a predetermined current line from the acquired omni-directional image, calculating a correlation coefficient between the extracted current line of the robot and each landmark line of pre-stored nodes using a Fast Fourier Transform (FFT), and performing a stochastic approach method of a particle filtering process on a basis of the calculated correlation coefficient to recognize a location of the robot.

The invention relates to an optimal power flow optimization method of distributed power supplies. The optimal power flow optimization method of the distributed power supplies includes the following steps: A, variable in a distribution network is initialized; B, load flow calculation is carried out on the distribution network; C, lines are judged to be overloaded or not, and active output force and reactive output force of an engine and the distributed power supplies are judged to overstep the boundary or not; D, if constraint equations are all met, a step E is continued, otherwise a step F is continued; E, an objective function is judged to be the minimum or not, if the objective function is the minimum, a step J is continued, otherwise a step F is continued; F, net loss correlation coefficients are corrected; G, a Jacobean matrix and a Hessian matrix are calculated; H, a problem of sequential quadratic programming is formed and the search direction and a step size are solved; I, output force at the position of a balancing node bus and output force of each distributed power supply are corrected, and the step B is jumped to; and J, an optimal power flow result is output. The optimal power flow optimization method of the distributed power supplies provides basis of access capacity calculation for determining the distributed power supplies to be connected in a power distribution network, is simple in calculation and low in complexity, and can rapidly calculate the output force of the distributed power supplies.

The invention relates to an image characteristic matching method. The image characteristic matching method includes the steps of pre-processing an obtained CCD (charge coupled device) image; extracting characteristic points of the pre-processed CCD image by a SURF operator and conducting matching image by the quasi epipolar line limit condition and minimum Euclidean distance condition to obtain the identical point information; establishing affine deformation relation between the CCD images according to the obtained identical point information; extracting the characteristic points of a reference image by Harris corner extracting operator, projecting the characteristics points to a searching image by the affine transformation to obtain points to be matched; in neighbourhood around the points to be matched, counting the correlation coefficient between the characteristic points and the points in the neighbourhood and taking extreme points as the identical points; and using the comprehensive results of twice matching as the final identical point information. According to the method of the invention, can match surface images of deep-space stars obtained in a deep-space environment is utilized for imaging matching to obtain high-precision identical point information of CCD images, so that the characteristic matching is realized.

The invention provides a method for simultaneously determining one hundred pesticide residuals in a traditional Chinese medicine through ultrahigh performance liquid chromatography-tandem quadrupole mass spectrum. The method comprises the following steps: immersing traditional Chinese medicine powder with ultrapure water, extracting with acetonitrile containing 0.1% acetic acid through a homogenate method, carrying out solid phase dispersing purification with N-propylethylenediamine and graphitized carbon, detecting in a timesharing multi-reaction monitoring mode through the ultrahigh performance liquid chromatography-tandem quadrupole mass spectrum, and quantifying with an external standard curve method. 88% of pesticides have good linear relations in a range of 5-500ng/mL, correlation coefficients are above 0.99, and the correlation coefficients of above 98% of the pesticides are above 0.97; the average recovery rate of the pesticides with the low concentration of 10mug/kg, the middle concentration of 50mug/kg and the high concentration of 100mug/kg is 70-130%, and the relative standard deviation is less than 0.15; and the detection limit is equal to or less than 0.01mg/kg, so routine detection requirements can be completely satisfied. The method has the advantages of strong versatility, good selectivity, high sensitivity, and rapidness and simplicity.