2013
DOI: 10.4028/www.scientific.net/amm.321-324.1264
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Triple-Network Convergence of Power Lines as a Transmission

Abstract: By analyzing the transmission characteristics of power line and the orthogonal frequency division multiplexing (OFDM) communication system, the concrete scheme of triple-network convergence based on the transmission medium of power line was given out. The Methods of constructing the intelligent triple-network convergence based on the OFDM technology, the system model and the hardware realization methods of power line communication system based on the DSP chip were given. Combining the latest OFDM technology, t… Show more

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Cited by 2 publications
(3 citation statements)
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“…Program III: Judge and select proper viewpoints by use of viewpoint similarity in favor of predicting the disparity estimation compensation.The viewpoint similarity detection algorithm proposed in this paper detects scales based on the histogram characteristics of images among different viewpoints (on the mean value and variance basis). The scaling function of the similarity between Viewpoint Numbered (n+p) and Viewpoint Numbered n is (1) In the above term, (i,j) is the position of the macroblock in the image. As for the CIF format multiview video sequence (the image has 352×288 pixels), if the macroblock has 16×16 pixels, i=1,2,…,22; j=1,2,…,18; Xn+p,i,j is the mean value of the brightness or tone component of Viewpoint Numbered (n+p) in the (i,j) position, i.e.…”
Section: A Multiple Reference Viewpoint Selection Algorithm Based On mentioning
confidence: 99%
See 1 more Smart Citation
“…Program III: Judge and select proper viewpoints by use of viewpoint similarity in favor of predicting the disparity estimation compensation.The viewpoint similarity detection algorithm proposed in this paper detects scales based on the histogram characteristics of images among different viewpoints (on the mean value and variance basis). The scaling function of the similarity between Viewpoint Numbered (n+p) and Viewpoint Numbered n is (1) In the above term, (i,j) is the position of the macroblock in the image. As for the CIF format multiview video sequence (the image has 352×288 pixels), if the macroblock has 16×16 pixels, i=1,2,…,22; j=1,2,…,18; Xn+p,i,j is the mean value of the brightness or tone component of Viewpoint Numbered (n+p) in the (i,j) position, i.e.…”
Section: A Multiple Reference Viewpoint Selection Algorithm Based On mentioning
confidence: 99%
“…With the continuous development of multimedia technologies, the free viewpoint video technology will become an important integrated part of the video technologies in the future, for it can provide interactive operation functions and the depth perception of images, able for users to choose and operate on audio-video objects [1] . The multiview video technology, being one of the core segments of the free viewpoint video technology, wherein the coding compression, transmission and storage of data exist mostly as multiview video data in in a viewpoint video system The multiview video data are obtained from shooting by use of a number of camera arrays, which data volume will multiply with the increase of the number of viewpoints; thus the compression of multiview video signals has become a puzzle to be solved in multiview video storage and transmission [2] .…”
mentioning
confidence: 99%
“…Huge redundancy exists among various viewpoints in multi-view video signals, which, similarly to the elimination of time redundancy in traditional video treatment by motion estimation, can be eliminated by the disparity estimation method, to realize the purpose of better coding compression for multi-view video data. Therefore, disparity estimation is one of the crucial technologies in multi-view video coding [4] , and the quality of disparity estimation performance will directly affect the running efficiency of the entire system and restructuring quality of the entire multi-view video. Regarding the disparity estimation of multi-view videos, Kimata, et al have proposed the multi-reference viewpoints method to increase the precision of disparity estimation [5] , however, this method will cause the computational complexity multiply and greatly increase the burden on encoders.…”
Section: Introductionmentioning
confidence: 99%