Multiresolution analysis: An unified approach using Discrete Wavelet Transform on GNU radio

Vachhani, Khyati

doi:10.1109/icgciot.2015.7380588

Cited by 2 publications

(1 citation statement)

References 15 publications

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“…To remedy the limitation of GPPs, researchers have proposed multiple solutions, one of which is the addition of co-processors, such as Graphic Processing Unit (GPU) [41].…”

Section: A Gpp-basedmentioning

confidence: 99%

Software-defined Radios: Architecture, state-of-the-art, and challenges

Akeela

Dezfouli

2018

Computer Communications

114

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Software-defined Radio (SDR) is a programmable transceiver with the capability of operating various wireless communication protocols without the need to change or update the hardware. Progress in the SDR field has led to the escalation of protocol development and a wide spectrum of applications, with more emphasis on programmability, flexibility, portability, and energy efficiency, in cellular, WiFi, and M2M communication. Consequently, SDR has earned a lot of attention and is of great significance to both academia and industry. SDR designers intend to simplify the realization of communication protocols while enabling researchers to experiment with prototypes on deployed networks. This paper is a survey of the state-of-theart SDR platforms in the context of wireless communication protocols. We offer an overview of SDR architecture and its basic components, then discuss the significant design trends and development tools. In addition, we highlight key contrasts between SDR architectures with regards to energy, computing power, and area, based on a set of metrics. We also review existing SDR platforms and present an analytical comparison as a guide to developers. Finally, we recognize a few of the related research topics and summarize potential solutions.

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“…To remedy the limitation of GPPs, researchers have proposed multiple solutions, one of which is the addition of co-processors, such as Graphic Processing Unit (GPU) [41].…”

Section: A Gpp-basedmentioning

confidence: 99%