compressed sensing; image matching; image reconstruction; image representation; image resolution; low-pass filters; matrix algebra; CS reconstruction problem; Gaussian low-pass filters; coherence reduction; compressed sensing theory; computational cost reduction; improved orthogonal matching pursuit algorithm; observation matrix; signal representation; subjective visual quality; superresolution images; transform matrix; Coherence; Image reconstruction; Image resolution; Indexes; Matching pursuit algorithms; Signal resolution; Sparse matrices; coherence; compressed sensing; fast indexing; improved OMP; super-resolution;
机译:通过改进的正交匹配追踪算法重建电容断层扫描图像重建
机译:改进的块分段正则正交匹配追踪图像重建方法
机译:正交匹配追踪的高密度超分辨率成像快速频域压缩传感分析
机译:利用改进的正交匹配追踪算法有效地重建超分辨率图像
机译:正交匹配追踪和最小角度回归的比较分析。
机译:基于改进的正交匹配追踪(OMP)算法的迭代局部搜索的高分辨率到达方向(DOA)估计
机译:压缩传感重建正交匹配追踪算法的高通量和低区域实现