杭州电子科技大学学报
杭州電子科技大學學報
항주전자과기대학학보
JOURNAL OF HANGZHOU DIANZI UNIVERSITY
2015年
1期
79-83
,共5页
信号重构%压缩感知%稀疏度%自适应%正则化
信號重構%壓縮感知%稀疏度%自適應%正則化
신호중구%압축감지%희소도%자괄응%정칙화
signal reconstruction%compressive sensing%sparsity%adaptation%regularization
针对压缩感知中未知稀疏度信号的重构问题，提出了一种改进的正则化自适应匹配追踪算法。它通过自适应变步长迭代对信号稀疏度进行估计，并将其作为初始支撑集长度，然后在分阶段迭代中正则化筛选原子，最终实现信号的精确重构。仿真结果表明，该算法重构信号的性能和效率均优于子空间追踪算法、正交匹配追踪算法和稀疏度自适应匹配追踪算法。
針對壓縮感知中未知稀疏度信號的重構問題，提齣瞭一種改進的正則化自適應匹配追蹤算法。它通過自適應變步長迭代對信號稀疏度進行估計，併將其作為初始支撐集長度，然後在分階段迭代中正則化篩選原子，最終實現信號的精確重構。倣真結果錶明，該算法重構信號的性能和效率均優于子空間追蹤算法、正交匹配追蹤算法和稀疏度自適應匹配追蹤算法。
침대압축감지중미지희소도신호적중구문제，제출료일충개진적정칙화자괄응필배추종산법。타통과자괄응변보장질대대신호희소도진행고계，병장기작위초시지탱집장도，연후재분계단질대중정칙화사선원자，최종실현신호적정학중구。방진결과표명，해산법중구신호적성능화효솔균우우자공간추종산법、정교필배추종산법화희소도자괄응필배추종산법。
This paper presents a modified regularization adaptive matching pursuit ( MRAMP) algorithm for the problem that reconstruct signals with unknown sparsity in compressed sensing .The proposed algorithm adaptively estimates the sparsity with difference steps through stage by stage and set it to the length of the initial support , then gets the accurate target signal by regularization screening of atoms in every stage . Simulation results show that the performance and efficiency of the proposed algorithm is better than subspace pursuit(SP) algorithm, orthogonal matching pursuit(OMP) algorithm and SAMP algorithm.
