English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

In order to improve the transmission effect of low-power communication signalof Internet of things and compress the enhancement time of low-powercommunication signal, this paper designs a low-power communication signalenhancement method of Internet of things based on nonlocal mean denoising.Firstly, the residual of one-dimensional communication layer is pre processedby convolution core to obtain the residual of one-dimensional communicationlayer; Then, according to the two classification recognition method, the noisereduction signal feature recognition of the low-power communication signal ofthe Internet of things is realized, the non local mean noise reductionalgorithm is used to remove the low-power communication signal of the Internetof things, and the weight value between similar blocks is calculated accordingto the European distance method. Finally, the low-power communication signalenhancement of the Internet of things is realized by the non local mean valuedenoising method. The experimental results show that the communication signalenhancement time overhead of this method is low, which is always less than2.6s. The lowest bit error rate after signal enhancement is about 1%, and thesignal-to-noise ratio is up to 18 dB, which shows that this method can achievesignal enhancement.

Low power communication signal enhancement method of Internet of things based on nonlocal mean denoising