Multichannel compressive sensing MRI using noiselet encoding
The incoherence between measurement and sparsifying transform matrices and the
restricted isometry property (RIP) of measurement matrix are two of the key factors in …
restricted isometry property (RIP) of measurement matrix are two of the key factors in …
Phase and amplitude reconstruction in single-pixel transmission microscopy: a comparison of Hadamard, cosine, and noiselet bases
Hadamard, cosine, and noiselet bases are implemented into a digital holographic
microscope based on single-pixel imaging with the capability to retrieve images of complex …
microscope based on single-pixel imaging with the capability to retrieve images of complex …
Efficient adaptation of complex-valued noiselet sensing matrices for compressed single-pixel imaging
A Pastuszczak, B Szczygieł, M Mikołajczyk… - Applied Optics, 2016 - opg.optica.org
Minimal mutual coherence of discrete noiselets and Haar wavelets makes this pair of bases
an essential choice for the measurement and compression matrices in compressed-sensing …
an essential choice for the measurement and compression matrices in compressed-sensing …
Hiding data in compressive sensed measurements: A conditionally reversible data hiding scheme for compressively sensed measurements
Most of the real-world signals we encounter in real-life applications have low information
content. In other words, these signals can be well approximated by sparse signals in a …
content. In other words, these signals can be well approximated by sparse signals in a …
Compressive sampling using a pushframe camera
S Bennett, Y Noblet, PF Griffin, P Murray… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
The recently described pushframe imager, a parallelized single pixel camera capturing with
a pushbroom-like motion, is intrinsically suited to both remote-sensing and compressive …
a pushbroom-like motion, is intrinsically suited to both remote-sensing and compressive …
On the design of maximally incoherent sensing matrices for compressed sensing using orthogonal bases and its extension for biorthogonal bases case
Compressive Sensing (CS) allows for reconstructing sparse signals within a low acceptable
error using less measurements than stipulated by the Nyquist criterion. This CS paradigm …
error using less measurements than stipulated by the Nyquist criterion. This CS paradigm …
A multiresolution spatial parameterization for the estimation of fossil-fuel carbon dioxide emissions via atmospheric inversions
The characterization of fossil-fuel CO 2 (ffCO 2) emissions is paramount to carbon cycle
studies, but the use of atmospheric inverse modeling approaches for this purpose has been …
studies, but the use of atmospheric inverse modeling approaches for this purpose has been …
Single-pixel imaging with deterministic complex-valued sensing matrices
M Zhao, J Liu, S Chen, C Kang… - Journal of the European …, 2015 - jeos.edpsciences.org
In this paper, complex deterministic sensing matrices are explored to sample the signals in
the single pixel imaging (SPI). A new analysissynthesis scheme is proposed to realize the …
the single pixel imaging (SPI). A new analysissynthesis scheme is proposed to realize the …
[PDF][PDF] 联合低秩与稀疏先验的高光谱图像压缩感知重建
孙玉宝， 吴泽彬， 吴敏， 刘青山 - 电子学报, 2014 - ejournal.org.cn
本文建立了一种新的高光谱图像压缩感知重建模型, 编码端采用块对角的Noiselet
测量矩阵对每一谱带进行独立采样, 解码端首先建立高光谱图像低秩稀疏表示模型 …
测量矩阵对每一谱带进行独立采样, 解码端首先建立高光谱图像低秩稀疏表示模型 …
A sparse reconstruction method for the estimation of multi-resolution emission fields via atmospheric inversion
Atmospheric inversions are frequently used to estimate fluxes of atmospheric greenhouse
gases (eg, biospheric CO 2 flux fields) at Earth's surface. These inversions typically assume …
gases (eg, biospheric CO 2 flux fields) at Earth's surface. These inversions typically assume …