To eliminate this defect, this paper proposes a maximum length sequence encoded Hadamard measurement paradigm that can be simply realized on chip without any ...

Abstract—The development of compressed sensing technol- ogy has greatly facilitated its applications in many fields, such as medical imaging, multi-sensor ...

Conference PaperPDF Available. Maximum length sequence encoded Hadamard measurement paradigm for compressed sensing. July 2014. DOI:10.1109/AIM.2014.6878236.

Herein we review methods concerned with the encoding and reconstruction of natural signals and how they might inform the discovery of useful transform bases.

We chose Φ to contain Hadamard basis patterns ranked from lowest to highest spatial frequency since, when used to reconstruct spatially-varying DTOF data ...

Oct 30, 2020 · We introduce a reliable compressive procedure to uniquely characterize any given low-rank quantum measurement using a minimal set of probe states.

Abstract: Compressive sensing is a sensing protocol that facilitates the reconstruction of large signals from relatively few measurements by exploiting ...

Abstract. We investigate the problems of 1-D and 2-D signal recovery from subsampled Hadamard measurements using Haar wavelet as a sparsity inducing prior.

The coded sequence was produced using Hadamard matrices. This provides the required value of y. This y value is then used as an input in the GPSR_Basic ...

Compressed sensing (CS) is a signal processing approach that solves ill-posed inverse problems, from under-sampled data with respect to the Nyquist criterium.