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35 results about "Partial fourier" patented technology

The partial Fourier technique is a modification of the Fourier transformation imaging method used in MRI in which the symmetry of the raw data in k-space is used to reduce the data acquisition time by acquiring only a part of k-space data. The symmetry in k-space is a basic property of Fourier transformation and is called Hermitian symmetry.

Fourier parallel magnetic resonance imaging method based on one-dimensional part of deep convolutional network

The invention relates to a Fourier parallel magnetic resonance imaging method based on a one-dimensional part of a deep convolutional network, and belongs to the technical field of magnetic resonance imaging. The method comprises the following steps: a sample set for training and a sample label set are created; an initial deep convolutional network is built; a training sample of the sample set is input into an initial deep convolutional network model to perform forward propagation, an output result of the forward propagation is compared with an expect result in the sample label set, and training is performed using a gradient descent algorithm until various layer parameters maximizing the consistency between the output result and the expect result are obtained; an optimal deep convolutional network model is established by utilizing the obtained various layer parameters; and a multi-coil under-sampling image obtained through online sampling is input into the optimal deep convolutional network model, forward propagation is performed on the optimal deep convolutional network model, and a rebuilt single-channel whole-sampling image is output. A noise of the rebuilt image can be removed well, a magnetic resonance image having a good visual effect is rebuilt, and the Fourier parallel magnetic resonance imaging method has high practical value.
Owner:SHENZHEN INST OF ADVANCED TECH

Time-domain channel estimation method for MIMO OFDM downlink system

The invention relates to a time domain channel estimation method of a multiple-input multiple-output orthogonal frequency-division multiplexing down system. A pilot frequency symbol sequence using orthogonal virtual pilot frequency symbol and code domain is assumed to be used; firstly, a receiving terminal estimates the frequency response of each sub-channel at the actual pilot frequency symbol sub-carrier; then, the channel estimation for the virtual pilot frequency symbol sub-carrier is obtained through the linear interpolation of channel estimation of adjacent symbols used for orthogonal frequency division; the received symbol is re-constructed by utilizing the virtual pilot frequency symbol and the channel estimation thereof, the impulse response estimation of each sub-channel is obtained by ranking the received symbol of the actual pilot frequency symbol sub-carrier in ascending order according to the index value of the sub-carrier and then applying the least square method for time domain regularization, and the channel estimation of all the pilot frequency symbol sub-carriers is obtained after partial Fourier transformation; and finally, the channel frequency response of each user data symbol sub-carrier is obtained through the linear interpolation of channel estimation of the pilot frequency symbol sub-carrier. The invention has the advantages that the channel estimation precision is high, and larger quantity of transmitting antenna can be supported.
Owner:HENAN UNIV OF SCI & TECH

Airport wind field feature detection method and device based on laser radar and equipment

The invention relates to an airport wind field feature detection method and device based on a laser radar and equipment. The method comprises the following steps of: carrying out scanning strategy configuration on a laser radar deployed at a preset position of an airport according to a set configuration strategy; according to Doppler radial velocity information obtained by volume scanning of the laser radar, obtaining a three-dimensional wind field in the scanning volume through inversion; extracting wind field data below 600m from the three-dimensional wind field, and calculating to obtain a corresponding F factor value according to the wind field data below 600m; extracting radial wind speed data at an elevation angle of 35.3 degrees in the Doppler radial velocity information, and calculating to obtain kinetic energy intensity of turbulence at different heights through a partial Fourier decomposition algorithm; and extracting doppler spectrum data of each elevation angle in the Doppler radial velocity information, and calculating the turbulence dissipation rate of each radial distance of a wind field through a Doppler spectrum method. According to the method provided by the above technical schemes of the invention, the effect of relatively high comprehensive detection performance of the wind field is achieved.
Owner:NAT UNIV OF DEFENSE TECH

Spectral analysis calculation method and calculator for illumination intensity data

The invention discloses a spectral analysis calculation method and calculator for illumination intensity data. The calculation method is characterized by including the steps that a sparse format arrangement is performed on the collected illumination intensity data to form data which are distributed in a periodically sparse mode; the illumination intensity data which are distributed in the periodically sparse mode are normalized to be in a power (2, n) form; partial Fourier transformation is performed on the normalized illumination intensity data; fast Fourier transformation is used for calculating the data which partial Fourier transformation is performed on, so that the spectrum of illumination intensity is obtained. The invention further discloses the spectral analysis calculator for the illumination intensity data. According to the technical scheme, on the premise that the distribution characteristics of the data spectrum are not changed, an existing Fourier transformation technology is improved, the periodically sparse characteristic of the illumination intensity is sufficiently utilized, redundancy calculation on zero elements is avoided, and a novel partial Fourier transformation technology is formed. In this way, the efficiency of spectrum calculation is improved.
Owner:BEIJING JIAOTONG UNIV

Observation matrix construction method based on low-coherence unit norm tight frame

ActiveCN111475768AAvoid the problem of difficult structureRobustImage memory managementImage acquisitionComputation complexityTight frame
The invention relates to an observation matrix construction method based on a low-coherence unit norm tight frame, and belongs to the technical field of signal processing, and the method comprises thesteps: S1, initializing an initial observation matrix phi 0 into a random part Fourier matrix, and enabling the initial observation matrix phi 0 to serve as an initial alpha tight frame F; s2, calculating a Gram matrix corresponding to the framework F, and projecting the matrix to a structure constraint set of a tight framework by using a contraction function to generate a new Gram matrix; s3, updating the Gram matrix through a weighted iteration process; s4, reducing the rank of the new Gram matrix, calculating the square root of the new Gram matrix, and finding out a tight frame closest toa unit norm tight frame; and S5, solving the optimal target function to obtain an observation matrix. According to the method, the mutual interference coefficient between the observation matrix and the sparse basis is reduced, the dependence degree on signal sparsity is reduced, the problem that an ETF frame is difficult to construct is avoided, the initial observation matrix is initialized into apart of Fourier matrix, the calculation complexity is reduced, and the pressure of storage and processing equipment is reduced.
Owner:CHONGQING UNIV OF POSTS & TELECOMM

1D Partial Fourier Parallel Magnetic Resonance Imaging Method Based on Deep Convolutional Networks

The invention relates to a Fourier parallel magnetic resonance imaging method based on a one-dimensional part of a deep convolutional network, and belongs to the technical field of magnetic resonance imaging. The method comprises the following steps: a sample set for training and a sample label set are created; an initial deep convolutional network is built; a training sample of the sample set is input into an initial deep convolutional network model to perform forward propagation, an output result of the forward propagation is compared with an expect result in the sample label set, and training is performed using a gradient descent algorithm until various layer parameters maximizing the consistency between the output result and the expect result are obtained; an optimal deep convolutional network model is established by utilizing the obtained various layer parameters; and a multi-coil under-sampling image obtained through online sampling is input into the optimal deep convolutional network model, forward propagation is performed on the optimal deep convolutional network model, and a rebuilt single-channel whole-sampling image is output. A noise of the rebuilt image can be removed well, a magnetic resonance image having a good visual effect is rebuilt, and the Fourier parallel magnetic resonance imaging method has high practical value.
Owner:SHENZHEN INST OF ADVANCED TECH
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