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Compressive sampling for networked feedback control
We investigate the use of compressive sampling for networked feedback control systems. The method proposed serves to compress the control vectors which are transmitted through rate-limited channels without much deterioration of control performance. The control vectors are obtained by an L1-L2 optimization, which can be solved very efficiently by FISTA (
Masaaki Nagahara +3 more
openaire +4 more sources
Geometry‐driven thermal behavior in wire‐arc additive manufacturing (WAAM) influences microstructural evolution during nonequilibrium solidification of a chemically complex Fe–Cr–Nb–W–Mo–C nanocomposite system. By comparing different deposits configurations, distinct entropy–cooling rate correlations, segregation, and carbide evolution are revealed ...
Blanca Palacios +5 more
wiley +1 more source
Compressive sensing is a computational framework for acquisition and processing of sparse signals at sampling rates below the rates mandated by the Nyquist sampling theorem.
Ervin Sejdić +2 more
doaj +1 more source
Thermomechanical fatigue tests of laser beam powder bed fusion (PBF‐LB) Inconel 718 show that the additively manufactured material reaches almost the lifetimes of conventionally‐rolled material under no‐dwell conditions. Introducing dwell times at the maximum temperature markedly reduces the lifetimes due to pronounced grain boundary sliding associated
Stefan Guth +6 more
wiley +1 more source
Frequency domain compressive sampling for ultrasound imaging
International audienceCompressed sensing or compressive sampling is a recent theory that originated in the applied mathematics field. It suggests a robust way to sample signals or images below the classic Shannon-Nyquist theorem limit. This technique has
Basarab, Adrian +2 more
core +1 more source
Compressive Sampling for Remote Control Systems [PDF]
In remote control, efficient compression or representation of control signals is essential to send them through rate-limited channels. For this purpose, we propose an approach of sparse control signal representation using the compressive sampling ...
MATSUDA, Takahiro +5 more
core +1 more source
Estimasi Rapat Spektral Daya Berbasiskan Compressive Sampling
Makalah ini membahas proses penginderaan spektrum berbasiskan rekonstruksi rapat spektral daya (power spectral density, PSD) dari sampel-sampel digital yang diperoleh dari pencuplikan dengan pesat di bawah pesat Nyquist.
Dyonisius Dony Ariananda
doaj
On the basis of photonics-assisted compressive sampling (CS), we demonstrate for the first time an integrated system with the capacity of multifrequency recognition and downconversion of intercepted radio frequency (RF) component.
Li Yan +6 more
doaj +1 more source
This article presents the design, modeling, and characterization of air‐pressure–actuated programmable vibroacoustic metamaterials (PVAMM). The study focuses on leveraging air pressure to dynamically tune resonance frequencies for effective noise attenuation.
William Kaal +2 more
wiley +1 more source
Doa estimation of array radar via compressive sampling and matrix completion
With the requirement of high-precision and high-resolution, the huge data greatly increases data transmission and storage load. Compressive sampling and Matrix completion have received considerable attention recently, and has been applied successfully in
Bi X(毕欣) +2 more
core

