A Review on Compressive Sensing for Distributed Signal Processing in WBAN

Ashwini S Chiwarkar, K. Khanchandani
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Abstract

Wireless networks of the body (WBANs) that support healthcare applications are in the early stages of development but make valuable contributions to surveillance, diagnostics or therapy. They cover real-time medical information acquisition from various sensors with secure data communication and low power consumption. WBANs promises discreet outpatient medical monitoring over a long period of time and inform the physician in real-time about the patient's condition. They are widely used for ubiquitous healthcare, entertainment, and military applications. This article presents distributed wireless networks and describes the search for Orthogonal Matching Pursuit (OMP), Basis Pursuit (BP), Least Mean Square Technique (LMS), and Normalized Least Mean Square Technique (NLMS).
WBAN分布式信号处理中的压缩感知技术研究进展
支持医疗保健应用的身体无线网络(wban)尚处于早期发展阶段,但对监测、诊断或治疗做出了宝贵贡献。它们涵盖了从各种传感器获取实时医疗信息,具有安全的数据通信和低功耗。WBANs承诺在很长一段时间内对门诊病人进行谨慎的医疗监测,并实时告知医生病人的病情。它们广泛用于无处不在的医疗保健、娱乐和军事应用。本文介绍了分布式无线网络,并描述了正交匹配追踪(OMP)、基追踪(BP)、最小均方技术(LMS)和归一化最小均方技术(NLMS)的搜索。
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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