733 results about "Linear correlation" patented technology

A method for recognizing an audio sample locates an audio file that most closely matches the audio sample from a database indexing a large set of original recordings. Each indexed audio file is represented in the database index by a set of landmark timepoints and associated fingerprints. Landmarks occur at reproducible locations within the file, while fingerprints represent features of the signal at or near the landmark timepoints. To perform recognition, landmarks and fingerprints are computed for the unknown sample and used to retrieve matching fingerprints from the database. For each file containing matching fingerprints, the landmarks are compared with landmarks of the sample at which the same fingerprints were computed. If a large number of corresponding landmarks are linearly related, i.e., if equivalent fingerprints of the sample and retrieved file have the same time evolution, then the file is identified with the sample. The method can be used for any type of sound or music, and is particularly effective for audio signals subject to linear and nonlinear distortion such as background noise, compression artifacts, or transmission dropouts. The sample can be identified in a time proportional to the logarithm of the number of entries in the database; given sufficient computational power, recognition can be performed in nearly real time as the sound is being sampled.

The present invention provides means to improve the chemical stability of aqueous, parenteral pharmaceutical compositions comprising a polypeptide and glycerin. Reactive aldehydes are identified in commercial glycerins, and means for reducing such are provided. Convenient means are provided to assay for reactive aldehydes in glycerin, and a strong linear correlation between the level of reactive aldehydes in glycerin and chemical stability of compositions comprising a polypeptide and glycerin is demonstrated. The invention includes aqueous compositions comprising a polypeptide and glycerin having improved chemical stability compared to compositions previously known.

The invention discloses a vibration and audio signal-based high-speed train track damage detecting method, belongs to the field of signal detection and processing as well as safety monitoring, and solves the problems of low detection speed and single detection method in the conventional train track damage detection. The method comprises the following steps: 1, acquiring vibration signals and audio signals of a train track through sensors arranged at train track detection points; 2, respectively extracting information characteristics included in the vibration signals and the audio signals; 3, respectively obtaining a nonlinear correlation curve of the vibration signals and a nonlinear correlation curve of the audio signals by using a nonlinear correlation analysis method; 4, respectively analyzing the information of the two nonlinear correlation curves obtained in the step 3 so as to respectively obtain minimum values of the two nonlinear correlation curves; and 5, carrying out data fusion on the two minimum values and corresponding information thereof so as to obtain a damage coefficient, and looking up a table to obtain the damage degree according to the coefficient. The method is suitable for detecting the damage on railway train tracks and monitoring the safety operation of trains.

The invention discloses a method for automatically detecting a three-dimensional television (3DTV) video program format, which comprises the following steps of: 1, acquiring a frame image and judging whether the entropy of the frame image is greater than a first preset threshold value in the preset interval, if so, continuously executing, otherwise, returning; 2, equally dividing the frame image into n blocks; 3, respectively calculating linear correlation coefficients among the n blocks; 4, respectively judging whether a correlation coefficient of any two adjacent images in the n blocks is greater than a second preset threshold value, if so, adding one to a first counter, otherwise, adding one to a second counter; and 5, repeating 1 to (4m-1) times, if the first counter is m, the left and right three-dimensional format is obtained, if the second counter is m, the upper and lower three-dimensional format is obtained, otherwise, a two-dimensional format is obtained. In the method, whether the color is rich is judged according to the entropy of the image and the similarity between the images is judged according to the correlation coefficients between the image blocks, so the method is accurate and rapid.

State estimation of a system having multidimensional parameters, which are unknown, arbitrarily time-varying, but bounded, in addition to state variables, is performed by initializing the state estimate and matrices representing its covariance and bias coefficients which linearly relate initial state estimation errors to the parameter errors. System matrices Φ, Γ, F, G and the mean value λ of unknown, time-varying, but bounded parameters λ are determined. A matrix Λ is generated, representing their physical bounds. The state estimate {circumflex over (x)}(k|k) and matrices M(k|k) and D(k|k), characterizing the effects of measurement errors and parameter uncertainty, are extrapolated to generate {circumflex over (x)}(k+1|k), M(k+1|k), and D(k+1|k). The measurement noise covariance N is determined. The filter gain matrix K is calculated. The state estimate is updated with the filter gain matrix K weighting the measurement z(k+1) and the extrapolated state estimate {circumflex over (x)}(k+1|k) to generate the current system estimate {circumflex over (x)}(k+1|k+1), by minimizing its total mean square error due to measurement errors and parameter uncertainty. The matrices M(k+1|k) and D(k+1|k) are updated with the filter gain matrix K to generate M(k+1|k+1) and D(k+1|k+1).

A monitoring device may include logic to receive arterial blood pressure data associated with a patient and receive tissue hemoglobin data associated with the patient. The logic may also calculate a linear correlation between the arterial blood pressure data and the tissue hemoglobin data. The correlation may be used to assess vascular reactivity.

An LDPC unit decoder included in a signal decoding device is provided with a parity checking unit that is a multiplier for performing multiplication of a check matrix (parity check matrix) and temporary estimated values of an encoded signal, computed by a temporary estimated value computation unit. A check matrix (parity check matrix) holding unit holds the check matrix (parity check matrix). If s and t are natural numbers, s≧t≧2, among s columns extracted from this check matrix (parity check matrix), t columns or less have a linearly independent relationship. These s columns are multiplied at locations where error occurrence frequency is relatively high, with regard to the temporary estimated values. According to this mode, the matrix is composed to include t columns that are linearly independent, that is, t columns that are not linearly dependent. In this way, in a decoded signal series, when errors occur at t locations, since it is possible to avoid multiplying all the linear dependent columns at locations where errors occur, errors with a relatively high frequency of occurrence can be preferably detected.

The method sets up sensing optical fiber on surface of prefabricated foundation pile to be measured. Both dependent variable and temperature sensed of the fiber are based on Brillouin backscattering. At incidence end of pulsed light, the method measures received light power of Brillouin backscattering so as to accomplish function of measuring and positioning Brillouin frequency shift on each points of optical fiber. In procedure of sinking pile, strain distribution is as basic parameter to reflect impaired character and degree of foundation pile. Based on linear correlation between Brillouin frequency shift and strain, temperature, the method carries out temperature compensation based on measured strain distribution and temperature distribution so as to obtain actual strain distribution on surface of foundation pile to be measured.

A method and apparatus for compacting test responses containing unknown (X) values in a scan-based integrated circuit using an X-canceling multiple-input signature register (MISR) to produce a known (non-X) signature. The known (non-X) signature is obtained by selectively exclusive-ORing (XORing) together combinations of MISR bits which are linearly dependent in terms of the unknown (X) values using a selective XOR network.

The invention discloses a distributed optical fiber testing method for porous medium structure seepage. The method comprises the steps of: (1) constructing a porous medium structure model groove; (2) forming a uniform and steady seepage field; (3) conducting temperature monitoring on the target optical fiber embedded in the model groove; (4) carrying out ohmic heating operation on the target optical fiber; (5) measuring the temperature rise curves of different heating power under the steady seepage condition; (6) constructing a heat transfer equation of a total heat transfer coefficient of the optical cable; (7) representing the heat transfer between optical fiber and a seepage containing saturated porous medium by the total heat transfer coefficient; (8) measuring the temperature rise curves of different heating power under the condition of different seepage rates; and (9) monitoring the seepage rate. The method provided in the invention establishes an empirical relationship mathematical model of the seepage rate total heat transfer coefficient, accurately pinpoints the linear correlation between the seepage rate and an average total heat transfer coefficient, and reliably guarantees the monitoring precision.

The invention provides a multi-image encryption and authentication method based on sparse constraint and a system. The method comprises steps that multiple colorful images are respectively expressed as multiple quaternion matrixes; quaternion Gyrator transformation is employed to carry out double random phase encryption of the multiple quaternion matrixes to acquire multiple cryptograph data; according to the sparse matrixes, sparse expression of the multiple cryptograph data is carried out respectively to acquire multiple sparse cryptograph data; and components comprise real and imaginary components; the multiple sparse cryptograph data are superposed to acquire a final cryptograph; the final cryptograph is decrypted; and according to the decryption result and the to-be-detected images, non-linear correlation distribution is calculated to carry out authentication. The multi-image encryption and authentication method based on sparse constraint is advantaged in that relatively high security is realized, the cryptograph space and the operation time can effectively saved, and the method is suitable for being applied to image secret communication and authentication fields.

The invention relates to the technical field of data systems, in particular to a distributed data device, method and system based on the spatial correlation. The storage method includes the steps of dividing data with spatial characteristics into a plurality of grids, wherein the grids are provided with data of space where the grids are located; storing the data in the grids into a plurality of storage nodes according to the correlation relationship of the positions of the space of the grids. The distributed data device, method and system have the advantages that as for huge spatial data in various types, high-parallelism-degree data writing and reading can be achieved, and it is guaranteed that the data divided according to spatial attributes can be safely stored into the nodes in a balanced and spatial-correlation kept mode; meanwhile, the distributed data system has the high expanding capacity, the system expansion and the performance are linearly correlated, a large number of idler nodes or I/O bottle neck nodes can not appear in the system, and the original design intention of the distributed data system is achieved.

The invention discloses a method for forecasting public building air conditioner short-time base wire load with consideration of real-time weather factors. The method comprises the following steps: S1, calculating correlation between temperature, humidity, air speed, rainfall amount and the air conditioner load by using a Pearson correlation coefficient formula, and selecting strong linear correlation parameters as the real-time weather factors considered during forecasting of the public building air conditioner short-time load base wire; S2, respectively calculating the daily temperature-humidity index THI and a weighed temperature-humidity index THI of the forecasting date and two months before the forecasting date and selecting a typically-similar date of the forecasting date; and S3, calculating the air conditioner load value of 24 hours of the forecasting date by using a BP neural network method. The method can be used for forecasting the public building air conditioner short-time base wire load on a national scale and can also be used for providing theoretical support and data support for applying the typical public building air conditioner load to the regulation of power grid load.

The invention discloses a sea-sky-line detection method based on high gradient key points, and the method is suitable for ocean ship object identification and positioning devices. The method is characterized in that: based on a high efficiency attention mechanism of visual information, obtaining a statistical set of high gradient key points of an image column through employing a recursion optimization algorithm and a variable resolution sampling technique, subjecting the statistical set to least squares straight line fitting, rejecting outliers which do no satisfy a distance threshold condition in the statistical set and obtaining a selected set of the high gradient key points, subjecting the selected set to least squares straight line fitting, determining a selected set of the high gradient key points which satisfies an adaptive quantity threshold and a linear correlation threshold simultaneously as sea-sky-line. A problem of effective, accurate and real-time detection of sea-sky-line in a complex sea surface environment is solved by the sea-sky-line detection method based on high gradient key points, and the method has the characteristics of strong anti-interference capability and high calculating efficiency.