Results 81 to 90 of about 3,086,556 (345)
Dictionary Learning for Blind One Bit Compressed Sensing
This letter proposes a dictionary learning algorithm for blind one bit compressed sensing. In the blind one bit compressed sensing framework, the original signal to be reconstructed from one bit linear random measurements is sparse in an unknown domain ...
Korki, Mehdi +2 more
core +1 more source
Compression-Based Compressed Sensing [PDF]
Modern compression algorithms exploit complex structures that are present in signals to describe them very efficiently. On the other hand, the field of compressed sensing is built upon the observation that "structured" signals can be recovered from their under-determined set of linear projections.
Farideh E. Rezagah +3 more
openaire +2 more sources
Al‐Cu intermetallic compounds (IMCs) have a significant influence on the properties of Al‐Cu bimetallic interfaces formed in compound casting. This article provides a deeper understanding of microstructure, crystallography, thermal properties, hardness, and corrosion response of Al‐Cu IMCs with the goal of facilitating the optimization of the ...
Alireza Nazarahari +7 more
wiley +1 more source
This study reports the fabrication of trabecular bioactive glass scaffolds (composition “1d”: 46.1SiO2‐28.7CaO‐8.8MgO‐6.2P2O5‐5.7CaF2‐4.5Na2O wt%) through vat photopolymerization and the relevant results from mechanical testing and in vivo implantation procedures in rabbit femora, showing great promise for bone tissue engineering applications.
Dilshat Tulyaganov +8 more
wiley +1 more source
Distributed Quantization for Compressed Sensing
We study distributed coding of compressed sensing (CS) measurements using vector quantizer (VQ). We develop a distributed framework for realizing optimized quantizer that enables encoding CS measurements of correlated sparse sources followed by joint ...
Chatterjee, Saikat +2 more
core +1 more source
Deterministic Construction of Compressed Sensing Matrices via Vector Spaces Over Finite Fields
Compressed Sensing (CS) is a new signal processing theory under the condition that the signal is sparse or compressible. One of the central problems in compressed sensing is the construction of sensing matrices.
Xuemei Liu, Lihua Jia
doaj +1 more source
Compressed sensing MRI: a review from signal processing perspective
Magnetic resonance imaging (MRI) is an inherently slow imaging modality, since it acquires multi-dimensional k-space data through 1-D free induction decay or echo signals.
J. C. Ye
semanticscholar +1 more source
The puncture prevention and energy absorption performance of composite metal foam (CMF) are studied experimentally and numerically for hazardous materials transportation protection. The numerical model implementing air within the CMF (nonhomogeneous model using fluid cavity technique) predicts puncture more accurately compared to the homogeneous CMF ...
Aman Kaushik, Afsaneh Rabiei
wiley +1 more source
Production of Metallic Foam Precursors Using Current‐Activated Pressure‐Assisted Densification
A powder compaction metallurgical method, known as current‐activated pressure‐assisted densification, is applied to enhance the compaction of metal foam precursors. This method improves precursor quality by achieving higher density, lower electrical resistivity, and more uniform pore nucleation in the resulting foams, reducing energy consumption and ...
Tillmann Robert Neu +2 more
wiley +1 more source
Laser wire directed energy deposition process was leveraged to fabricate large scale NiTi alloy wall. Evaluation of build‐height‐dependent tribo‐mechanical properties revealed significant differences in location specific sample characteristics. The middle region achieved optimal performance (superior wear resistance, balanced strength‐ductility ...
Hyunsuk Choi +5 more
wiley +1 more source

