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Wireless multimedia sensing network video signal adaptive sampling and spectrum allocation method

An adaptive sampling and video signal technology, applied in the field of digital signal coding and transmission, can solve the problems of neglect, reduce measurement data, improve sampling efficiency, and reduce noise interference.

Active Publication Date: 2011-09-07
HOHAI UNIV
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  • Summary
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Problems solved by technology

First of all, in terms of signal acquisition, we only focus on the perception of spectrum signals by a single cognitive radio device, which will ignore a key issue in spectrum detection - the hidden terminal problem, which will occur when cognitive radio devices are obscured

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  • Wireless multimedia sensing network video signal adaptive sampling and spectrum allocation method
  • Wireless multimedia sensing network video signal adaptive sampling and spectrum allocation method
  • Wireless multimedia sensing network video signal adaptive sampling and spectrum allocation method

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Embodiment Construction

[0042] The principle and technical solution of the present invention will be further described below.

[0043] refer to figure 1 , the system flowchart of the present invention includes as follows:

[0044] Process 1: Use a wireless network video camera or a video capture card to collect video from a video signal source to obtain a set of video frames.

[0045] Process 2, video compression encoding. We observe that video backgrounds are good candidates for compression sampling when many details in the image can be ignored. Therefore, applying compressed sampling to the entire image is ineffective. To exploit any internal image sparsity, we split the image into equal-sized non-overlapping blocks. Then, only the sparse blocks are down-sampled, that is, we exploit the local sparsity of the image. Test non-sparse fast traditional sampling. Note that the test for sparsity is done with the help of reference frames.

[0046] Process 3, use the hardware processor DSP or FPGA to...

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Abstract

The invention discloses a wireless multimedia sensing network video signal adaptive sampling and spectrum allocation method. The method comprises the following steps of: acquiring the video of a video signal source by use of a wireless network video camera or a video acquisition card; regarding the first acquired video frame as a reference frame; testing the sparsity of pixel blocks by use of compression sampling; performing compression sampling of the sparse blocks of all pixel blocks in continuous non-reference frames and spatially corresponding to the previous reference frame, and performing traditional sampling of the remaining part; performing independent local spectrum measurement by each cognitive radio apparatus; converting the obtained analogue signals into sparse sampling signals; adaptively changing the sparse sampling signals, and transmitting to a fusion center; estimating the joint power spectrum density through a joint reconfiguration algorithm; separately performing energy detection to obtain corresponding spectrum judging results; and fusing all individual judging results according to OR logic by the fusion center so as to judge whether a master user exists in the observed frequency band.

Description

technical field [0001] The invention belongs to the field of digital signal coding and transmission, and relates to an adaptive compression sampling method for wireless multimedia sensor network video signals and a spectrum allocation scheme for broadband wireless networks, which can be used to collect video signals with high compression rates and carry out broadband wireless transmission . Background technique [0002] In the future Internet of Things environment, with the increasing demand of information space for physical space perception and interaction, wireless multimedia sensor networks will become more and more important as a technology for effectively sensing the physical environment. Using the wireless multimedia sensor network, it is possible to carry out intensive image monitoring of public hotspot areas, and through collaborative analysis of multi-channel image data, and the use of sound, face and pattern recognition technologies, more accurate detection of dete...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W16/14H04B17/00H04L25/02H04N7/26H04N19/00
Inventor 张家华徐立中王慧王慧斌石爱业张学武王鑫丁晓峰姚岚陈婷
Owner HOHAI UNIV
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