A State-Space Framework for Parallelizing Digital Signal Processing in Coherent Optical Receivers. [PDF]
Sensors (Basel)Wang J, Wang Z, Liu D.
europepmc +1 more source
ML-DSP: Machine Learning with Digital Signal Processing for ultrafast, accurate, and scalable genome classification at all taxonomic levels. [PDF]
BMC Genomics, 2019 Randhawa GS, Hill KA, Kari L.
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Advanced Engineering Materials, EarlyView.The tribological behavior of 100Cr6 steel spheres textured via Vickers microindentation is evaluated under lubricated sliding by varying both dimple size and density. Fine and dense textures significantly reduce friction across all lubrication regimes, while large dimples increase it.
Farideh Davoodi +3 more
wiley +1 more source
An efficient method of modulo adder design for Digital Signal Processing applications. [PDF]
MethodsXKumar Singhal S +4 more
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Digital Signal Processing and Control for the Study of Gene Networks. [PDF]
Sci Rep, 2016 Shin YJ.
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Efficient FPGA implementation and power modelling of image and signal processing IP cores
, 2007 This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Field Programmable Gate Arrays (FPGAs) are the technology of choice in a number ofimage and signal processing application areas such as consumer ...
Chandrasekaran, Shrutisagar
core
Advanced Engineering Materials, EarlyView.This study presents a reversible temperature sensor with high switching ratio, ∼103. The device is fabricated using PET‐ITO and carbon nanotube dispersions in alkane. Considering its application in cold chain logistics, a proof‐of‐concept with LED is showcased. Thus, a temperature drop below the threshold temperature (crystallization temperature of the
Sunil Kumar Behera +8 more
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A Digital Signal Processing-Based Multi-Channel Acoustic Emission Acquisition System with a Simplified Analog Front-End. [PDF]
Sensors (Basel)Tang G.
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Planar Solid‐State Nanopores Toward Scalable Nanofluidic Integration Based on CMOS Technology
Advanced Engineering Materials, EarlyView.We present a scalable silicon‐based fabrication strategy for planar solid‐state nanopores to enable their integration with complex nanofluidic systems. Prototype devices demonstrate normal voltage‐current characteristics, good noise performance, and appreciable streaming currents. Our CMOS‐compatible fabrication process offers precise geometric control
Ngan Hoang Pham +7 more
wiley +1 more source
Deep learning as a highly efficient tool for digital signal processing design. [PDF]
Light Sci ApplPryamikov A.
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