Semi-Tensor Product Compressed Sensing With Its Applications: A Review

IF 4.3 2区综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Sensors Journal Pub Date : 2024-12-13 DOI:10.1109/JSEN.2024.3510033

Rongpei Zhou;Rongfa Li;Yaqian Wu;Jie Chen;Jin Hong;Lisu Yu;Qiegen Liu;Yudong Zhang

引用次数: 0

Abstract

Recently, as an emerging signal processing technology, the semi-tensor product compressed sensing (STP-CS) has attracted widespread attention in the fields of image processing, communications, and bioinformatics. This article reviews the theoretical foundations, algorithmic designs, and practical applications of STP-CS. It begins by revisiting the basic concepts of compressed sensing (CS) and the definition of the semi-tensor product (STP), followed by a detailed discussion on the theoretical model of STP-CS, optimization of the measurement matrix, and reconstruction algorithms. Furthermore, the article explores the practical applications of STP-CS in areas such as sensor nodes, visual security, image encryption, and spectrum sensing, analyzing its performance advantages and potential challenges in these fields. A comprehensive analysis indicates that STP-CS offers significant benefits in saving storage space, reducing computational complexity, and enhancing data security, making it a promising technology in the field of signal processing.

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半张量积压缩感知及其应用综述

半张量积压缩感知（STP-CS）作为一种新兴的信号处理技术，在图像处理、通信、生物信息学等领域受到了广泛关注。本文综述了STP-CS的理论基础、算法设计和实际应用。本文首先回顾了压缩感知（CS）的基本概念和半张量积（STP）的定义，然后详细讨论了STP-CS的理论模型、测量矩阵的优化和重建算法。此外，本文还探讨了STP-CS在传感器节点、视觉安全、图像加密和频谱感知等领域的实际应用，分析了STP-CS在这些领域的性能优势和潜在挑战。综合分析表明，STP-CS在节省存储空间、降低计算复杂度、提高数据安全性等方面具有显著的优势，是信号处理领域的一种有发展前景的技术。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Sensors Journal 工程技术-工程：电子与电气

CiteScore

7.70

自引率

14.00%

发文量

2058

审稿时长

5.2 months

期刊介绍： The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice