计算机系统应用
計算機繫統應用
계산궤계통응용
APPLICATIONS OF THE COMPUTER SYSTEMS
2014年
5期
95-100
,共6页
贝叶斯%压缩感知%BCS算法%信号重构
貝葉斯%壓縮感知%BCS算法%信號重構
패협사%압축감지%BCS산법%신호중구
Bayes%compressed sensing%BCS algorithm%signal reconstruction
本文提出了基于贝叶斯压缩感知的信号重构算法，将压缩感知理论应用于信号的压缩传输以及重构，该算法将压缩感知问题转化为线性回归问题，逐步推演出结果向量之间的迭代关系，最后通过迭代以得到原始信号的精确重构。仿真说明了贝叶斯压缩感知在信号处理中的应用，结果表明该算法对一维和二维信号的压缩重构有很好的效果。
本文提齣瞭基于貝葉斯壓縮感知的信號重構算法，將壓縮感知理論應用于信號的壓縮傳輸以及重構，該算法將壓縮感知問題轉化為線性迴歸問題，逐步推縯齣結果嚮量之間的迭代關繫，最後通過迭代以得到原始信號的精確重構。倣真說明瞭貝葉斯壓縮感知在信號處理中的應用，結果錶明該算法對一維和二維信號的壓縮重構有很好的效果。
본문제출료기우패협사압축감지적신호중구산법，장압축감지이론응용우신호적압축전수이급중구，해산법장압축감지문제전화위선성회귀문제，축보추연출결과향량지간적질대관계，최후통과질대이득도원시신호적정학중구。방진설명료패협사압축감지재신호처리중적응용，결과표명해산법대일유화이유신호적압축중구유흔호적효과。
In this paper, a compressed sensing signal reconstruction algorithm that based on Bayesian compression perception theory is proposed. It can be applied to signal compression and transmission as well as reconstruction. The new algorithm inverted the compressed sensing problem into a linear regression problem. Firstly, then deduced an iterative relationship of the resulting vectors gradually, at last got the exact reconstruction of the original signal by iteration. The simulation experiment exploted that the Bayesian compressive sensing algorithm have a good reconstruction effect used in one-dimensional and two-dimensional signal processing and the reconstruction.
