Matrix data processing system and method based on matrix joint approximate diagonalization

A technology of matrix data and processing method, which is applied in the field of matrix data processing system based on matrix joint approximate diagonalization, can solve problems such as inability to perform parallel operations and long operation time, and achieve consideration of hardware resource overhead, good portability, and guaranteed The effect of computing speed

Active Publication Date: 2021-07-09
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Abstract
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  • Claims
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Problems solved by technology

[0005] Aiming at the above-mentioned deficiencies in the prior art, a matrix data processing system and method based on matrix joint approximate diagonalization provided by the present invention solves the problem that the existing algorithm for rotating the matrix composed of data cannot perform parallel operations, resulting in long time problem

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  • Matrix data processing system and method based on matrix joint approximate diagonalization
  • Matrix data processing system and method based on matrix joint approximate diagonalization
  • Matrix data processing system and method based on matrix joint approximate diagonalization

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[0047] The specific embodiments of the present invention are described below so that those skilled in the art can understand the present invention, but it should be clear that the present invention is not limited to the scope of the specific embodiments. For those of ordinary skill in the art, as long as various changes Within the spirit and scope of the present invention defined and determined by the appended claims, these changes are obvious, and all inventions and creations using the concept of the present invention are included in the protection list.

[0048] Such as figure 1 As shown, a matrix data processing system based on matrix joint approximate diagonalization, including: data storage and control module and iterative systolic array module;

[0049] The data storage and control module includes: a register group and a logic control unit, and the register group is connected to the logic control unit; the iterative pulse array module includes: a left rotation angle calc...

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Abstract

The invention discloses a matrix data processing system and method based on matrix joint approximate diagonalization, which belong to the field of communication data processing, are based on an FPGA (Field Programmable Gate Array) platform, have systolic array and pipeline processing thoughts, carry out parallel design on traditional data processing, have multiple advantages, can complete algorithm calculation in a short time, and can also complete the data processing in a short time. Meanwhile, the hardware resource overhead is taken into account while the calculation speed is ensured, and good portability is achieved based on the modular design.

Description

technical field [0001] The invention relates to the field of communication data processing, in particular to a matrix data processing system and method based on matrix joint approximate diagonalization. Background technique [0002] In matrix analysis, the problem of approximately joint diagonalization of several matrices can be defined by the following description: Consider the set A of K N×N matrices = {A 1 ,A 2 ,...,A K}. Now we want to find a joint diagonalizer (jointdiagonalizer) U ∈ C N×N and K corresponding diagonal matrices Λ 1 ,Λ 2 ,…,Λ K , so that the objective function Minimize, where, ω 1 ,ω 2 ,…,ω k is a positive weight coefficient. This problem is called approximate joint diagonalization. [0003] The joint diagonalization of matrices widely exists in blind signal separation, blind beamforming, delay estimation, frequency estimation, array signal processing, multiple-input-multiple-output (MIMO) blind equalization, and blind MIMO system identificat...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/16G06F17/15
CPCG06F17/16G06F17/15Y02D10/00
Inventor 李桓徐博轩杨鍊王坚金曙光
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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