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Compressed sensing device based on silicon-based microcavity chaos

A compressed sensing and microcavity technology, applied in the field of signal processing, can solve the problems of slow speed and poor recovery performance, and achieve the effect of reducing redundancy, improving the degree of integration and high compatibility

Active Publication Date: 2020-02-04
SOUTHWEST UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, it is slower than the greedy algorithm
[0004] The existing technology cannot have a good recovery performance when Gaussian white noise is added to the system

Method used

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  • Compressed sensing device based on silicon-based microcavity chaos
  • Compressed sensing device based on silicon-based microcavity chaos
  • Compressed sensing device based on silicon-based microcavity chaos

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Embodiment Construction

[0033] The invention proposes a perception matrix by exploring the chaotic sequence from the logic diagram, and proves its good RIP performance. Compared to other techniques, chaotic systems can generate "random" matrices in a deterministic manner and are easy to implement in physical hardware. However, most of the proposed schemes mainly focus on theoretical research and the applied chaos is mostly generated on the circuit. In recent years, as the research on silicon-based chips has become more and more popular, researchers have also made a lot of achievements in this area. breakthrough.

[0034] Since 2008, recent breakthroughs in nanophotonics technology and cavity optomechanics have demonstrated complex signal oscillations in mesoscopic resonators. In 2016, stochastic resonance and chaos were experimentally observed in a microcavity in the mode of a toroidal whispering gallery. A chaotic compressive sensing matrix is ​​experimentally realized in hardware with a nanophoto...

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Abstract

The invention provides a compressed sensing device based on silicon-based microcavity chaos, and the device comprises a tunable laser, an optical fiber amplifier, an optical fiber polarization controller, an optical isolator, a quick photoelectric detector, an electronic spectrum analyzer, a digital oscilloscope, and a processor. The tunable laser and the optical fiber amplifier are respectively used for driving the silicon-based microcavity; the optical fiber polarization controller is used for selecting transverse electric polarization of the OM-PhC chip; the optical isolator is used for preventing unnecessary reflected light; the electronic spectrum analyzer and the digital oscilloscope are used for monitoring the time-frequency characteristic of the chaotic signal; the processor is used for obtaining a sensing matrix according to the chaotic signal. Under the condition that white Gaussian noise is added into the system, The compressed sensing device has good recovery performance.

Description

technical field [0001] The invention belongs to the field of signal processing, in particular to a compressive sensing device based on silicon-based microcavity chaos. Background technique [0002] Human beings are currently in the age of electronic information, the ways of information transmission are ever-changing, and the application fields are ubiquitous. The amount of information generated every day is very huge. Therefore, an efficient compression method is an effective way to alleviate the current storage pressure. Therefore, the research on compressive sensing is particularly important. How to achieve faster signal acquisition and effectively restore the original signal has become the focus of current social attention. The compressive sensing method based on chaotic matrix is ​​of great significance for high-efficiency, high-quality, high-speed signal processing. [0003] Compressed sensing is an efficient technique for compressing and sampling sparse signals. It...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H03M7/30G06T11/00
CPCG06T11/00H03M7/3062H03M7/3082
Inventor 吴加贵郭鹏飞韩晶慜黄苾荍吴令浩
Owner SOUTHWEST UNIV