43 results about "Matrix space" patented technology

Systems and methods of MIMO wireless communication system with partial feedback are disclosed. In one embodiment, a base station estimates the channel matrices of the K mobile units and transmits an index value corresponding to each of the estimated channel matrix. Each mobile unit selects a power control matrix and beam-forming matrix based on the received index value and transmits its data stream to the base station using the selected power control and beam-forming matrix. A method for generating the sets of power control matrices, beam-forming matrices, and partitions of the channel matrix space is disclosed.

This invention uses a novel mechanism to store a matrix of numbers or any two dimensional array of binary values in a novel storage entity called a Matrix Space. A matrix space which may reside in a processing unit, is designed to store a plurality of matrices or arrays of values into arrays of volatile or non-volatile memory cells or latch or flip-flop elements much like in a memory, but with accessibility in two or three dimensions. In this invention any row and / or any column of storage elements in a storage array is directly accessible for writing, reading or clearing via row bit lines and column bit lines, respectively. The elements in rows of arrays are selected or controlled for access using row address lines and the elements in columns of arrays are selected or controlled for access using column address lines. This allows access to data stored in matrix space arrays for use in matrix and array computations, by both rows and columns of the arrays.

The invention discloses a multi-spectral and panchromatic image fusion method based on dual sparse non-negative matrix decomposition, which mainly solves the problems of fuzzy spatial information and spectral distortion in the prior art. The steps are: (1) respectively input the low spatial resolution multispectral image, high spatial resolution panchromatic image, spectral degradation matrix, and spatial degradation matrix; (2) respectively input the low spatial resolution multispectral image and high spatial resolution Column vectorization of panchromatic images with spatial resolution in blocks; (3) performing dual sparse non-negative matrix decomposition on the image after column vectorization to obtain a dictionary with high spatial resolution and a coefficient matrix with spectral information; (4) transforming The high spatial resolution dictionary and the coefficient matrix with spectral information are multiplied to obtain a column vectorized high spatial resolution multispectral image, and restore it to a high spatial resolution multispectral image. The invention can obtain accurate spatial and spectral information, and can be used in remote sensing fields such as target identification, ground object classification and environmental monitoring.

The invention belongs to the technical field of medical image processing, and particularly relates to a method and a system for extracting image characteristics of diffusion tensor. The method for extracting the image characteristics of the diffusion tensor comprises the steps of a, calculating a tensor eigenvalue of a DTI (diffusion tensor imaging) image in the principal direction, and analyzing distribution characteristics of tensor eigenvalues of all images; b, constructing a weight matrix according to the distribution characteristics of the tensor eigenvalues, and establishing and optimizing a weight matrix based target function so as to construct a new characteristic space; and c, solving the target function to acquire a multi-linear projection matrix, projecting a DTI tensor eigenvalue based matrix space to multiple linear sub-spaces, and carrying out characteristic extraction and dimensionality reduction on DTI images of the sub-spaces. The method provided by the invention not only can effectively reflect various sample characteristics, but also can reduce the calculation cost, diffusion characteristics of the diffusion tensor image on three principal directions are fully dug on the basis of keeping the original image structure information, purposes of dimensionality reduction and characteristic extraction are realized, and a dimensionality curse is avoided effectively.

A selective PEG algorithm, creating a sparse matrix while maintaining row weight / column weight at arbitrary multi-levels, and in the process, inactivating an arbitrary edge so that a minimum loop formed between arbitrary nodes is enlarged or performing constrained interleaving, so that encoding efficiency in the case where a matrix space is narrow is improved.

The invention relates to a matrix spacing adjusting mechanism for adjusting the spacing of a plurality of lines of work pieces, which belongs to the field of mechanically automatic equipment. The mechanism comprises a power source, a transmission component and a carriage. Two gears and a belt pulley are respectively arranged on shafts which form a 90-degree angle, and are provided with synchronous belts. Four guide rails are lined in an X-axis direction and two guide rails are lined in a Y-axis direction, and four sliders are arranged on each guide rail. The sliders on the edge of the X-axis and the Y-axis guide rails are provided with guide pipes or belt clamps. The belt clamps are arranged on the synchronous cog belts. A small belt clamp is arranged below each slider. Every four sliders are connected by a belt, and the length of the belt decides the adjustable spacing among all the work pieces. Each guide pipe comprises a sleeve, a sleeve cover and a guide rod. A part in which each guide rod and each sleeve are contacted is in a drum type, so that the flexibility is high. The mechanism can adjust the spacing among a plurality of lines of work pieces, a system is a single power source, the use is stable and reliable, the precision requirement on work piece positioning can be met, the structure is reasonable, and the control is simple and feasible.

This application discloses a mechanism to securely store and compute with a matrix of numbers or any two-dimensional array of binary values in a storage entity called a matrix space. A matrix space is designed to store matrices or arrays of values into arrays of volatile or non-volatile memory cells with accessibility in two or three dimensions. Any row or column or line of storage elements in the storage entity is directly accessible for writing, reading, or clearing via row bit lines and column bit lines, respectively. The elements in rows of the arrays are selected or controlled for access using row address lines and the elements in columns of the arrays are selected or controlled for access using column address lines. Access control methods and mechanisms with keys to secure, share, lock, and unlock regions in the matrix space for matrices and arrays under the control of an operating system or a virtual-machine hypervisor by permitted threads and processes are also disclosed.