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Blind source separation method based on quantum slime mold search mechanism under strong shock noise

A technology of impact noise and blind source separation, applied in quantum computers, instruments, complex mathematical operations, etc., can solve problems such as failure and performance deterioration, and achieve the effect of eliminating impact, reducing calculation amount, and simplifying the calculation process.

Active Publication Date: 2022-08-02
HARBIN ENG UNIV
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Problems solved by technology

[0005] The purpose of the present invention is to overcome the engineering problems faced by the traditional blind source separation method when the unknown source signal is subject to strong impact and low signal-to-noise ratio noise interference, and the performance of the method deteriorates or even fails, thereby providing a more effective and robust method. High Blind Source Separation Method Based on Quantum Slime Mold Search Mechanism

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  • Blind source separation method based on quantum slime mold search mechanism under strong shock noise
  • Blind source separation method based on quantum slime mold search mechanism under strong shock noise
  • Blind source separation method based on quantum slime mold search mechanism under strong shock noise

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Embodiment Construction

[0036] The present invention will be described in further detail below with reference to the accompanying drawings and specific embodiments.

[0037] The overall process of the invented blind source separation method is as follows: figure 1 As shown, the simplified mathematical model of blind source separation is as follows figure 2 As shown, the technical solution of the present invention comprises the following steps:

[0038] Step 1: Receive the observation signal to be filtered, and construct a filtering system to filter the observation signal. s(t)=[s 1 (t),s 2 (t),...,s D (t)] T is D mutually independent source signals, n(t)=[n 1 (t),n 2 (t),...,n D (t)] T is the impulse noise added to the source signal, then Get D observation signals, namely which is Among them, A is the D×D order unknown system mixing matrix t=1,2,...,N, t is the label of the number of sampling points, and N is the number of sampling points. because is the observed signal completely ...

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Abstract

The invention provides a blind source separation method based on the quantum slime mold search mechanism under strong impact noise. The objective function is designed based on the independence criterion of maximizing the kurtosis of the separated signal. The method first uses the Givens rotation transformation to reduce the calculation amount, Then, the objective function is optimized within the given search range, and the optimal solution of the objective function and its corresponding separation matrix are searched by the designed quantum slime mold search mechanism within this range, so as to realize blind source separation. The designed method can realize blind source separation of aliased signals in strong impact noise environment and low signal-to-noise ratio. It has the advantages of fast convergence speed, high separation accuracy and stable performance, and has a wide range of application prospects.

Description

technical field [0001] The invention relates to a blind source separation method based on a quantum slime mold search mechanism in a strong impact noise environment, belonging to the field of blind source separation. Background technique [0002] Blind source separation is a signal processing method that only extracts or restores each component of the source signal from the observed sensor mixed signal when the prior knowledge of the source signal and transmission channel is unknown. The research of traditional blind source separation methods is often based on the case of no noise interference, but when the influence of noise cannot be ignored, the performance of traditional blind source separation methods tends to deteriorate or even fail, and many researches on blind source separation methods in noisy environments It is carried out in a Gaussian noise environment or a uniform noise environment, but in practical applications, such as transmitted digitally modulated communic...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06N3/00G06N10/00G06F17/16
CPCG06N10/00G06N3/006G06F17/16
Inventor 高洪元张志伟王世豪马静雅孙贺麟刘亚鹏臧国建赵海军张震宇
Owner HARBIN ENG UNIV
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