102 results about "Eigenvalue analysis" patented technology

The invention discloses a fat gas mud shale stratum well log standardizing method which comprises the following steps: (a), selecting and constructing a standard layer; (b) carrying out eigenvalue analysis; (c) carrying out curve correction; (d) carrying out standardization effect verification. By utilizing the method disclosed by the invention, when mud shales and neighborhood layers are short of two stable standard layers, curve standardization can be realized, the comparability of well logs of multiple wells is increased, effective popularization of heterogeneous modeling is ensured, and further the precision of heterogeneous logging evaluation is improved.

Aspects of a method and system for an optional closed loop mechanism with adaptive modulations for a multiple input multiple output (MIMO) WLAN system are provided. One aspect of the system may utilize properties of Eigenvalue analysis of MIMO systems to reduce the number of bits of binary information required to select a modulation type among a plurality of modulation types for each spatial stream among a plurality of spatial streams. This provides a reduction in the required number of bits when compared to other approaches and accordingly, enable greater flexibility in systems that utilize closed loop feedback mechanisms.

The invention discloses a target detection method for a polarimetric interferometry synthetic aperture radar on the basis of eigenvalue analysis, relating to a target detection method for a polarimetric interferometry synthetic aperture radar so as to solve the problem that a ground object can not be detected and identified through the traditional complete polarization and the single polarization synthetic aperture radars under the background of the stronger natural ground object clutter. The target detection method comprises the following steps of: reading in the data of a polarimetric interferometry synthetic aperture radar image according to an image data format; preprocessing the polarimetric interferometry synthetic aperture radar image; obtaining a simplified polarimetric interferometry matrix by two groups of polarized scattering vectors, and solving the characteristic value of a matrix; simplifying the matrix by similar diagonalization and a Jordan standard form to obtain an optimized scattering vector-based correlation coefficient; analyzing an eigenvalue and the statics characteristic of the correlation coefficient by selecting different samples; and constructing a target detector by the obtained statics characteristic to detect an interested target to obtain a result. The target detection method is used for the target detection for the polarimetric interferometry synthetic aperture radar.

A Reasoning Graph is defined as a directed graph characterized by nodes that can be, but are not limited to, concepts, situations, conditions, events, and persons with edges between nodes if one node is a cause of another node (its effect). The Reasoning Graph is automatically generated by analyzing a large corpus text from a repository such as the Wide World Web and other sources. The analysis leads to creation of edges within the graph based on, for example, lexical and semantic analysis of the text. Nodes of the Reasoning Graph can be ranked according to eigenvalue analysis of the connectivity matrix associated with the Reasoning Graph, including through application of both random as well as reasoning surfer models.

The invention provides a node admittance matrix eigenvalue analysis method applied to a grid-connected-inverter-included parallel resonance situation, which belongs to the field of inverter-included grid-connected resonance analysis and detection and solves a problem that the resonance generation and the resonance generation frequency can be obtained when the existing resonance detection method analyzes resonance waves, but an optimal observation position and an optimal excitation position in a resonance generation process cannot be determined. When a parallel resonance situation is analyzed in a grid-connected-inverter-included system, the system is subjected to equivalence, a branch of a three-bus system for analyzing the resonance situation of a traditional electric power system is changed into an inverter to perform analysis, thereby obtaining a node admittance matrix of the system, wherein a matrix eigenvalue and left and right eigenvectors are calculated; by analyzing the eigenvalue under every frequency, the eigenvalue under a certain frequency occurs a maximum value, so that the resonance occurs under the frequency; by analyzing left and right eigenmatrixes, the optimal observation position and an optimal excitation position are obtained. The node admittance matrix eigenvalue analysis method provided by the invention is applied to a grid-connected-inverter-included power distribution system.

The invention discloses a vehicle classification method for double-row vertical radar waves. A microwave vehicle detector is installed on the side of the road. The microwave vehicle detector adopts an array type double microwave radar. The microwave vehicle detector is composed of a vector decomposition module and a frequency analysis module. and a microprocessor. The method of the present invention is a comprehensive identification and analysis of the echo characteristics, analyzing the characteristic value of the echo to obtain a group of typing results, analyzing the frequency of the echo, and then obtaining a group of typing results; finally, the The two classification results are weighted to obtain the final vehicle classification result. Because this product adopts the two-level small network classification method in the neural network, it can greatly improve the classification speed, solve the real-time problem of vehicle classification, and improve the accuracy and stability of classification.

The invention provides a wind power random fluctuation based generalized load modeling method which comprises the steps of: (1) determining a generalized load model structure, wherein the generalized load model structure comprises a reactive compensation device, a static load, an induction motor load, an asynchronous generator, a power injection module and equivalent impedance of a power distribution network; (2) obtaining aggregation parameters of the asynchronous generator with a statistical synthesis method, and obtaining electric parameters of an equivalent asynchronous generator by performing capacity weighting aggregation on each asynchronous generator; (3) identifying parameters of a load model; (4) configuring a user-defined program and generating a dynamic link library; and (5) injecting power fluctuation data, and during transient analysis and small disturbance characteristic value analysis, shielding the power injection module and only considering dynamic characteristics of the asynchronous generator. When wind power random fluctuation based characteristics are subjected to medium and long-term dynamic analysis, the power injection module is activated for injecting power to a system in a time-varying current form.

The invention relates to a method for detecting characteristics of edge and angular point of color pictures. The technical proposal of the method is characterized by comprising the steps that: calculating the spatial gradient of each color channel of the color pictures, projecting the spatial gradient onto the color space which is insensitive to the illuminance information of shadow, light and shade and spectrum; generating an unchanged-illuminance color tensor by using unchanged-illuminance differential coefficient and own Cartesian inner product; and carrying out characteristic decomposition to obtain the partial orientation corresponding to the maximum characteristic value; then a filtering kernel of a symmetrical orientation tensor is controlled and generated by the partial orientation information, convolution filtering based on the filtering kernel of the symmetrical orientation tensor of the unchanged-illuminance color tensor is carries out to obtain a new color tensor; the characteristic value decomposition of the new color tensor is carried out to obtain a characteristic value and a characteristic vector and derive a characteristic measurement; detecting the characteristic of the edge and angular point. The detection of the characteristic of the edge and angular point is carried out by utilizing the characteristic of the sensor, thereby providing the designed characteristic detecting apparatus with visual characteristic better conforming to the eyes of human beings and restraining stronger noises.

A method and an apparatus estimate an object part location in a digital image using feature value analysis. The method according to one embodiment accesses digital image data representing a region including an object part of a digital image; accesses reference data including class data of classes relating to predetermined positions of the object part in predetermined regions, and features that discriminate among the classes; calculates feature values for the features in the region using pixel values within the region; and determines a location estimate of the object part using the feature values and the reference data.

The invention discloses characteristic value analysis model and step for the subsynchronous resonance analysis of a multi-machine power system, relating to the field of characteristic value analysis models of the subsynchronous resonance analysis of the power system. The deducing and calculating process of a method comprises the following step of: respectively writing a rotor motion equation of amultimass block model of a shaft system of a steam turbine generator, an electromagnetic transient state equation of a magnetic chain and the voltage of a generator, an electromagnetic transient state equation of a power transmission line, an electromagnetic transient state equation of a series-connected compensation capacitor and a control system equation of an excitation controller and the like. The invention obtains a differential equation set related to a state quantity by linearizing the equations on a stable-state operating point and can solve the characteristic value and the characteristic vector of a state equation coefficient matrix on the basis, obtain much information related to resonance damping characteristics by judging the stability of the subsynchronous resonance of the multi-machine power system and can be used for designing a controller to inhibit the subsynchronous resonance of the multi-machine power system by combining with a control theory.

The invention discloses a self-adaption independent component analysis extraction method of weak signals of microseism. The method comprises the steps that each microseism record is preprocessed, and then eigenvalue analysis is conducted so that the number of independent components can be determined; separation is conducted on observation signals according to the ICA algorithm based on kurtosis, so that an initial estimated value of a source signal is obtained; filtering is conducted on the estimated value of each independent component through an improved self-adaption prediction method, and then a self-adaption prediction filtering result of each independent component is obtained; in the process of calculation, fitting is conducted on one loop iteration error and a weight coefficient through a curve fitting method, and a fitting result is substituted into a primary formula for calculation of a next cycle; finally, weight fusion is conducted on the self-adaption prediction filtering results of all the independent components, and the optimal prediction result is obtained. By the adoption of the self-adaption independent component analysis extraction method of the weak signals of the microseism, acute oscillation of errors is reduced, an algorithm result can be stable as expected, the weak signals in the microseism records can be effectively extracted, and the signal to noise ratio of the weak signals is improved.

The invention discloses an improved ESPRIT double-base MIMO radar angle evaluation method, and the method comprises the steps: inhibiting the impact from space domain color noise through building a time domain cross covariance matrix of received data; secondly obtaining the estimation of the noise subspace through an eigenvalue decomposition method; obtaining an automatically-paired estimated angle of a target angle with the fuzzy characteristics through an ESPRIT method; finally obtaining the real target angle estimation through an eigenvalue analysis method. The method can effectively inhibit the space domain color noise in an MIMO radar, and the estimated angles can be paired automatically without additional pairing calculation. Moreover, the method is simple in algorithm, is high in efficiency, and is suitable for the popularization and application in the actual MIMO radar engineering.

The invention relates to an analysis method for researching the regional interaction influence of a wind-solar-fire bundling delivery system, and the method comprises the following steps: 1) constructing a wind-solar-fire bundling delivery system framework mode on the basis of a thermal power generating unit, a wind power generating unit, a photovoltaic power station and a high-voltage direct-current power transmission system model; 2) constructing a small-interference stability analysis linearization model of a delivery system according to the wind-light-fire bundling delivery system framework; 3) using characteristic value analysis and time domain simulation analysis to study the influence of the characteristic value analysis and the time domain simulation analysis on the system oscillation characteristic by changing the electrical distance between the power supplies of a sending-end system and the sending-out distance of the sending-end system; 4) changing the grid-connected capacity and the capacity ratio of wind, light and fire under a given operation condition, and analyzing the influence of different grid-connected capacities of wind, light and fire on the regional stabilityof the system; 5) changing the proportion of the AC / DC transmission power by changing a control current, and analyzing the oscillation modes of the system under different working conditions, therebyproviding a new idea for large-scale new energy consumption and delivery modes.

The present invention relates to a full-system model establishing method when a multi-port direct current system an alternating current system are interconnected, especially to an estimation method of the full-system electromechanical oscillation mode after the multi-port direct current system is accessed to the alternating current system. The method comprises the following steps: S1: establishing the transfer function model of the multi-port direct current system and the transfer function model of an alternating current system, and determining the coupling relation between the transfer function model of the multi-port direct current system and the transfer function model of an alternating current system; and S2: assessing the influence of the dynamic interaction effect of the multi-port direct current system and the alternating current system on the system electromechanical oscillation mode according to the coupling relation. The present invention provides a derivation method capable of predicting the electrical power system electromechanical oscillation mode after accessing the multi-port direct current system and a rapid estimation method capable of predicting the electrical power system electromechanical oscillation mode after accessing the multi-port direct current system, so that the model order and the computation complexity in the feature value analysis are reduced, and a simple and effective practical method without losing accuracy is provided for the engineering practice.