电脑开发与应用
電腦開髮與應用
전뇌개발여응용
COMPUTER DEVELOPMENT & APPLICATIONS
2015年
1期
32-34,37
,共4页
滤波%卷积%确定序列
濾波%捲積%確定序列
려파%권적%학정서렬
filter%convolution%determined sequence
提出了一类卷积压缩感知下确定性序列构造的滤波设计，相比传统的随机卷积，该方法的系数由具有良好自相关特性的确定序列的离散傅里叶变换给出。理论表明该确定性序列构造的滤波不仅可有效应用于时域稀疏的信号，而且可适用于频域和离散余弦域下的稀疏信号。
提齣瞭一類捲積壓縮感知下確定性序列構造的濾波設計，相比傳統的隨機捲積，該方法的繫數由具有良好自相關特性的確定序列的離散傅裏葉變換給齣。理論錶明該確定性序列構造的濾波不僅可有效應用于時域稀疏的信號，而且可適用于頻域和離散餘絃域下的稀疏信號。
제출료일류권적압축감지하학정성서렬구조적려파설계，상비전통적수궤권적，해방법적계수유구유량호자상관특성적학정서렬적리산부리협변환급출。이론표명해학정성서렬구조적려파불부가유효응용우시역희소적신호，이차가괄용우빈역화리산여현역하적희소신호。
This paper presents a kind of convolution deterministic sequence structure under compression perception filter, compared with the traditional random convolution, the coefficient is given by discrete Fourier transform which has good autocorrelation by features determine the sequence. It proves that the filter of deterministic sequence structure not only sparse signal can be effectively used in time domain, frequency domain and the discrete cosine domain and can be applied to the sparse signal.
