
Application of Mobile Signal Processing in the IoT
- 1 C.K.N. Institute of IoT Research
* Author to whom correspondence should be addressed.
Abstract
The application of mobile signal processing in the Internet of Things (IoT) represents a significant advancement in the realm of connected devices, offering a myriad of opportunities to enhance the functionality, efficiency, and intelligence of IoT systems. With the proliferation of mobile devices, such as smartphones and tablets, and the ubiquity of wireless connectivity, mobile signal processing techniques have emerged as powerful tools for analyzing, interpreting, and leveraging data generated by IoT devices and sensors. This introduction explores the transformative potential of mobile signal processing in the IoT landscape, highlighting key applications, challenges, and implications.
Keywords
Mobile Signal Processing, IoT, Applications
[1]. Godin, Jean-Francois, and Jean Renaud. "The Impact of Non-Governmental Organizations and Language Skills on the Employability of Refugee Claimants: Evidence from Québec." Canadian Ethnic Studies 34.1 (2002): 112. ProQuest Political Science. Web. 16 Dec. 2015.
[2]. Szczygiel, Jessica. "WHAT IS THE GREATEST BARRIER TO MILITARY AND NGO COOPERATION IN COMPLEX EMERGENCIES?" Michigan Journal of Political Science 2.2 (2004): 29-92. ProQuest Political Science. Web. 16 Dec. 2015.
[3]. Zhenbin Liu.2012. A study on the market effect of the increase and decrease of senior executives' shares in China's listed companies. [D]. Southwestern University Of Finance And Economics,17-19
[4]. Yuhuan Zhao,Ziying Ye .2012. An empirical study on the impact of gem executives' reduction on the stock market [J]. Foreign Economic Relations & Trade..99-110
[5]. Xupeng Wu.2013. An empirical study on the impact of the reduction of important shareholders in gem on stock price. Shanghai Jiao Tong University for the Master's Degree.12-24
Cite this article
Boozer,D. (2024). Application of Mobile Signal Processing in the IoT. Journal of Advances in Signal Processing-Test,1(1),12-17.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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Journal:Journal of Advances in Signal Processing-Test
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