Avoidance of channel interference in polygonal IoT networks

Zin, Hyeon-Cheol; Kim, Chonggun; Wu, Mary; Kim, Shinheon

doi:10.1002/cpe.4060

Cited by 6 publications

(4 citation statements)

References 15 publications

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“…Linear regression get widely practical uses in lots of areas such as engineering, 21,22 biological, 23 epidemiology, 24 finance, 25 economics, 26 environmental science, 27 computer vision. 28 Regression is also applied in acoustic science, especially in speaker recognition, emotion recognition, scenario recognition, audio event detection, audio information retrieval, [29][30][31][32] and so on.…”

Section: Regression Algorithmmentioning

confidence: 99%

Three‐dimensional sound reproduction in vehicle based on data mining technique

Zhang

Jiang

2018

Concurrency and Computation

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Three-dimensional (3D) audio reproduction technique is a hot topic since MPEG proposed a proposal for 3D audio standard in 2012. The present 3D reproduction method is not available in vehicle because the loudspeaker configuration does not meet the requirements of the methods. In this paper, we develop a regression model to reproduce sound pressure in vehicle using a data mining algorithm. A big sound pressure dataset is established based on acoustic theory. We analyze this dataset and propose a stepwise regression model training and testing on this dataset. Both the Mean Square Error and Root Mean Square Error are rather small, and all the residuals such as raw residuals, Pearson Residuals, Studentized residuals, and Standardize residuals are small as well. The experiments indicate that the proposed reproduction system accurately simulates the theoretical sound reproduction system.

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Section: Regression Algorithmmentioning

confidence: 99%

Three‐dimensional sound reproduction in vehicle based on data mining technique

Zhang

Jiang

2018

Concurrency and Computation

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“…In Internet of Things (IoT), speech communications is a universal foundational technology that was widely used in a variety of applications, such as Internet of Vehicles, security surveillance systems, and smart homes. Due to the limitation of channel capacity and computation power in IoT communications, the speech signals must be compressed and have the characteristic of low bitrates and low computation complexity in speech communications . For instance, the communications in Internet of Vehicles, the low bitrates and low complexity is vital for improving the performance of communications.…”

Section: Introductionmentioning

confidence: 99%

“…Due to the limitation of channel capacity and computation power in IoT communications, the speech signals must be compressed and have the characteristic of low bitrates and low computation complexity in speech communications. 1,2 For instance, the communications in Internet of Vehicles, the low bitrates and low complexity is vital for improving the performance of communications. Therefore, audio coding algorithm is an important technology for improving the performance of IoT communications.…”

Section: Introductionmentioning

confidence: 99%

A new source‐filter model audio bandwidth extension using high frequency perception feature for IoT communications

Jiang

Wang

et al. 2018

Concurrency and Computation

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Summary Audio coding is a generic technology to IoT applications system. Audio bandwidth extension is a standard technique within contemporary audio codecs to efficiently code audio signals at low bitrates. In existing methods, high frequency signal is generated by a duplication of the corresponding low frequency and some parameters of high frequency. However, the perception quality of coding will significantly degrade if the correlation between high and low frequency becomes weak. In this paper, we proposed a new source‐filter model audio bandwidth extension method. In our method, a perception feature of the high frequency signal is extracted to restore the perception quality of coding. In the decoder side, the crest factor and noise level are obtained under the constraint of the high frequency perception parameter. The performance shown in our experiment results are superior to the classic methods. Compared with the state of art method, the proposed method is also comparative because of the coding bitrate is significantly reduced and keeps a close perception quality of coding. This paper also provided a new solution for IoT communications that requires low bitrates and high quality of coding, especially like Internet of Vehicles.

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“…HyeonCheol Zin et al propose a simple and straightforward, exclusive channel–allocation algorithm in IoT networks. In particular, the authors describe 5 rules to support the proposed algorithm.…”

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confidence: 99%