36 results about "Spectral mapping" patented technology

Methods for curative ablation are provided to achieve the inactivation or destruction of fibrillar myocardium of the so-called AF nests. In addition, fibrillar myocardium may be identified and mapped by spectral analysis and phase study of the tissue during sinus rhythm. The procedure may be performed by transseptal puncture using only one catheter for ablation and mapping. The methods may be used to localize the application targets even during an arrhythmia.

A receiver for reducing acquisition time of a Carrier Frequency Offset (CFO) of an input intermediate frequency (IF) signal with M-PSK modulated preamble using spectral based analysis is provided. The receiver includes an analog to digital converter that converts the input IF signal into a digital signal, a down conversion unit that down converts the digital signal to a baseband complex signal, and a CFO estimation block that estimates the CFO. The CFO estimation block includes a carrier harmonic generation unit that generates an output of carrier Mth harmonic without modulation in the baseband complex signal, a spectral mapping unit that spectrally maps the carrier harmonic using complex Fast Fourier Transform, a spectral analysis unit that performs peak search on the spectrally mapped carrier Mth harmonic to obtain a peak position (PPOS), and a carrier frequency offset estimation unit that receives the peak position (PPOS) and estimates the CFO.

The invention provides a device for processing the frequency domain of a GNSS reflected signal and method thereof. The device comprises a receiving antenna, a radio frequency module, a signal processing module and an application processing module. The information of the direct projection signal and each multidiameter component such as code time lag and carrier frequency, phase are evaluated by cumulating the signal containing the reflected signal and spectral mapping and frequency domain analysis. The evaluated component of the multidiameter component can be used for use of the reflected signal, such as measuring the height using reflected signal, measuring the sea breeze. In view of tracking the direct projection signal from the receiver, the multidiameter component can be differentiatedand eliminated, therefore the receiver can ease the influence of the multidiameter on code and carrier wave at the condition of the closed close range multidiameter. When the system changes, the structure of the signal processing module is constant and the parameter is adjusted to track and process the signal and the effective solution plan is provided to use and eliminate the multidiameter.

Semiconductor device identification using quantum dot technology. A semiconductor nanocrystal based target is fabricated. A guard ring superjacent the fluorescing surface of the nanocrystal surface is provided to ensure repeatability of spectral mapping and analysis data. A transparent cap on the target may enhance performance. A system for coding a semiconductor device is described. A method is described for fabricating quantum dot targets in a methodology compatible with subsequent semiconductor fabrication process steps.

The present invention is a method for detecting multi-type properties of oil based on pattern recognition and spectrogram mapping, including: step S1: collecting the near-infrared spectrum of an unknown oil sample, and mapping and projecting the near-infrared spectrum to the training on the feature plane determined by the sample set; step S2: according to the area position of the unknown oil sample falling on the feature plane of the training set sample, classify the unknown oil sample point into a certain type of sample of the training set sample through the naive Bayesian classifier Middle; Step S3: In the sample points of the type of unknown oil sample point, select and within the search radius, search and find the adjacent points of the unknown oil sample point; Step S4: Calculate the relationship between the adjacent points of the unknown oil sample point and The Mahalanobis distance of the unknown oil sample point, and the Mahalanobis distance is normalized as the weight, and the oil properties of the unknown oil sample point are calculated by using the weighted sum of the properties of the adjacent points of the unknown oil sample point, so as to obtain Multiclass properties of unknown oil sample points.

A method and circuit for deriving a set of multichannel audio signals from a conventional monaural or stereo audio signal uses an auxiliary multichannel spectral mapping data stream. Audio can be played back in stereo and multichannel formats from a conventional stereo signal on compact discs, FM radio, or other stereo or monaural delivery systems. The invention reduces the data rate needed for the transmission of multichannel digital audio.

An apparatus and method for optical probing of a DUT is disclosed. The system enables identifying, localizing and classifying faulty devices within the DUT. A selected area of the DUT is imaged while the DUT is receiving test signals, which may be static or dynamic, i.e., causing certain of the active devices to modulate. Light from the DUT is collected and is passed through a transparent diffracting grating prior to imaging it by a sensor and converting it into an electrical signal. The resulting image includes the zero order and first order diffraction of the grating. The grating is configured such that the zero order is in registration with emission sites imaged when the grating is outside the optical path.

The invention discloses an image segmentation method based on characteristic importance sorting spectral clustering, aiming to solve the problems of high complexity and poor stability of the existing spectrum clustering. The realization process comprises the following steps: (1) extracting grey level value characteristic, grey level co-occurrence characteristic or wavelet characteristic from an image to be segmented; (2) performing normalization to the characteristic data; (3) calculating the importance of all the samples according to the normalized characteristic data; (4) sequencing the importance of all the samples, selecting 100 samples with high importance as a sample subset for sampling; (5) according to a method, using the selected sample subset to solve the characteristic vector space of all the samples which are processed through spectral mapping, using the characteristic vector corresponding to k characteristic values of the given clustering number for dimensionality reduction; and (6) performing k-means clustering to the obtained data, and outputting the final image segmentation result. Compared with the existing spectral clustering method, the method has stable result and low complexity, the image segmentation result is obviously increased and the method can be used for target detection and target recognition.

The invention relates to a method for measuring the similarity of a retinal blood vessel network based on a topological structure and an atlas, and belongs to the technical field of target feature description and comparison. It includes the following steps: Step 1: retinal blood vessel tracking; Step 2: Calculate the topological distance between the vascular trees, that is, the tree edit distance, and match the vascular trees accordingly to generate a matched vascular tree pair; Step 3: Calculate the distance between the vascular trees The spectral distance between each pair of vascular trees matched in step 2 is sampled, and then the sampled data is spectrally mapped, and the spectral distance of the pair of vascular trees is calculated according to the spectrally mapped data; step 4: weighted integration topology distance and spectral distance. The method compares vascular parameters of vascular trees with similar topological geometric shapes through local vascular tree matching, and realizes a more accurate measurement of the similarity of vascular networks; uses the clustering characteristics of spectral mapping to make the parameter differences of vascular trees more obvious , effectively improving the accuracy of similarity measurement.

The invention discloses a method for calculating the electromechanical oscillation mode of a time-delay power system based on a low-order SOD-PS-II-R algorithm. The method comprises the following steps: establishing a time-delay power system model; rewriting a mathematical model of the time-delay power system to realize order reduction of the dimension of the solver of the mathematical model; discretizing the solver of the time-delay power system model by a pseudo-spectral method to obtain a discretized matrix of the solver; by a coordinate rotation preprocessing method, rotating the discretized matrix of the solver and performing approximating to obtain the discretized approximation matrix of the solver, and calculating the eigenvalues whose modulus values are greater than 1 of the discretized approximation matrix of the solver; by using a sequential method or a subspace method, finding a set number of eigenvalues having the maximum modulus values of the discretized approximation matrix of the solver from the eigenvalues whose modulus values are greater than 1; and processing the set number of eigenvalues with the maximum modulus values by spectral mapping, coordinate anti-rotation and Newton's check, and finally obtaining an eigenvalue lambda of the time-delay power system model, wherein the eigenvalue lambda corresponds to the electromechanical oscillation mode of the time-delay power system.

The present disclosure provides a PSOD-based high-efficiency eigenvalue analysis method and system of a time-delay power system. According to the obtained operating state data of the time-delay power system, the partial solution operator discretization matrix of the time-delay power system is obtained by using the PSOD method; Using the subspace method to calculate the first eigenvalue of the preset number of discretization matrices of the solution operator; the first eigenvalue is sequentially subjected to spectral mapping, inverse rotation amplification and Newton check to obtain the eigenvalue of the time-delay power system; where , in the subspace method, the inverse matrix to be found in the discretization matrix of the partial solution operator is expressed in the form of Schur's complement, and the expression of the product of the inverse of the matrix and the vector is obtained by using the form of Schur's complement, and the inverse power method is used to solve the The product of matrix inverse and vector; avoiding the iterative calculation of matrix inverse-vector product by iterative method, the solution of matrix inverse-vector product can be obtained only through one inverse power method, which significantly reduces the calculation amount of matrix inverse-vector product.

The invention discloses a structure-driven spectrally mapped remote sensing image fusion method, and belongs to the technical field of remote sensing image processing. The method is implemented by comprising the steps of 1) performing block processing on a full-color image, establishing a corresponding relationship between full-color image blocks and multispectral image pixels, and according to spatial characteristics of the image blocks and a relationship between the image blocks and a neighborhood image, classifying the image blocks into pure or mixed image blocks, thereby determining corresponding pure and mixed attributes of the multispectral image pixels; 2) performing spectral information mapping on the pure and mixed image blocks by adopting different methods to obtain a spectral information image; and 3) injecting detail information into the spectral information image by adopting a general detail extraction method to obtain a fused image. Based on structural analysis on the full-color image, the accuracy of spectral information of the pixels is ensured; the phenomena of ghosts and the like in the general fused image can be improved; and the method can be used in the fieldsof environment monitoring, land utilization, agricultural investigation and the like.

The invention discloses a SOD-IRK based time-delay power system stability determination method. The SOD-IRK based time-delay power system stability determination method comprises: establishing a time-delay power system model; using different implicit Runge-Kutta methods to discretize solution operators to obtain a discretized matrix of the solution operators; transforming an eigenvalue problem ofinfinite dimension into an eigenvalue problem of finite dimension; using an implicit Arnoldi algorithm to calculate an approximate value of the eigenvalue having the maximum modulus, of the discretized matrix of the solution operators; using a rotation-amplifying method to perform preprocessing during calculation, and performing sparse implementation by using the properties of a Kronecker product;transforming the approximate value of the eigenvalue having the maximum modulus, of the discretized matrix into the approximate eigenvalue of the time-delay power system model according to the spectral mapping relationship; using the Newton iteration method to correct the approximate eigenvalues to obtain the exact eigenvalues of the time-delay power system; and determining the stability of the time-delay power system according to the magnitude of the exact eigenvalue damping ratio.