摘要在传统采样过程中, 为了避免信号失真, 采样频率不得低于信号最高频率的2 倍.
然而对于数字图像, 视频的获取, 依照香农(Shannon) 定理会导致海量采样数据 …

In this letter, we apply a new sampling theory named compressed sensing (CS) for
aerospace remote sensing to reduce data acquisition and imaging cost. We can only record …

When we take photos, we often get blurred pictures because of hand shake, motion,
insufficient light, unsuited focal length, or other disturbances. Recently, a compressed …

Compressed sensing (CS) enables people to acquire the compressed measurements
directly and recover sparse or compressible signals faithfully even when the sampling rate is …

Trending topic recommendation (TTR) has become a popular social service for social users
to obtain interesting topics based on public social content. Due to sensitive privacy, the …

Toplitz matrix completion (TMC) is to fill a low-rank Toeplitz matrix from a small subset of its
entries. Based on the augmented Lagrange multiplier (ALM) algorithm for matrix completion …

Compressed Sensing (CS) is a novel data acquisition theorem exploiting the signals
sparsity differing from traditional Nyquist theorem in the ability of obtaining all information of …

An undetermined measurement matrix can capture sparse signals losslessly if the matrix
satisfies the restricted isometry property (RIP) in compressed sensing (CS) framework …

Compressive sensing theory enables faithful reconstruction of signals, sparse in domain Ψ,
at sampling rate lesser than Nyquist criterion, while using sampling or sensing matrix Φ …

This paper addresses the problem of reconstructing an image from 1-bit-quantized
measurements, considering a simple but nonconventional optical acquisition model …