本文選題：數(shù)據(jù)采集 + 隨機采樣　； 參考：《佳木斯大學學報(自然科學版)》2015年05期

【摘要】：計算、存儲空間、電能等資源極其有限的無線傳感器網絡節(jié)點,難以實現(xiàn)寬帶音頻、視頻、圖像等信號的采集和大流量采樣數(shù)據(jù)的無線傳輸.針對此問題,結合壓縮感知理論,提出了一種基于隨機采樣的音頻信號采集方案.該方案中音頻采集節(jié)點直接對模擬的音頻信號進行低速隨機采樣,并將少量的低速采樣得到的采樣值傳輸至用戶端,復雜的信號重建過程和信號分析在用戶端完成.在單純隨機采樣的基礎上,提出了加性的隨機采樣時刻序列生成方法、推導了隨機采樣等效觀測矩陣,并對隨機采樣等效觀測矩陣的性能進行了仿真分析.仿真實驗表明:該方案合理可行,以0.4倍奈奎斯特頻率對音頻信號采樣時,信號重建誤差低于0.02;以0.5倍奈奎斯特頻率對音頻信號采樣時,信號重建誤差低于0.01.在噪聲模型下,該方案有一定抑制噪聲功能.該方案在保證信號重建質量的前提下,能夠大大降低節(jié)點數(shù)據(jù)采集與傳輸?shù)哪芎?從而有效解決無線音頻傳感器網絡中由于數(shù)據(jù)量大造成的網絡擁塞和大能耗問題.
[Abstract]:Wireless sensor network nodes with limited resources such as computing, storage space and electric energy are difficult to realize wideband audio, video and image acquisition and wireless transmission of large traffic sampled data. In order to solve this problem, an audio signal acquisition scheme based on random sampling is proposed. In this scheme, the audio sampling node directly samples the analog audio signal at low speed random, and transmits the sampling value from a small amount of low speed sampling to the user side. The complex signal reconstruction process and signal analysis are completed at the user side. On the basis of simple random sampling, an additive method of generating random sampling time series is proposed. The equivalent observation matrix of random sampling is derived, and the performance of the equivalent observation matrix of random sampling is simulated and analyzed. The simulation results show that this scheme is reasonable and feasible. When the audio signal is sampled at 0.4 times Nyquist frequency, the signal reconstruction error is less than 0.02, and the signal reconstruction error is less than 0.01 when the audio signal is sampled at 0.5 times Nyquist frequency. Under the noise model, the scheme has a certain noise suppression function. This scheme can greatly reduce the energy consumption of node data acquisition and transmission on the premise of guaranteeing the quality of signal reconstruction, thus effectively solving the problem of network congestion and large energy consumption caused by the large amount of data in wireless audio sensor networks.
【作者單位】： 喀什大學物理與電氣工程學院;
【基金】：國家自然科學基金青年科學基金項目(11404151)
【分類號】：TP274.2;TP212.9;TN929.5

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