Results 51 to 60 of about 3,545,130 (223)
Finite-State Channel Models for Signal Transduction in Neural Systems
, 2016 Information theory provides powerful tools for understanding communication systems. This analysis can be applied to intercellular signal transduction, which is a means of chemical communication among cells and microbes.
Eckford, Andrew W. +2 more
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Estimation Theory and Signal Processing
IFAC Proceedings Volumes, 1982 Abstract In keeping with the objective of the workshop, we will discuss some current research directions in signal processing related to estimation problems. Topics to be considered include linear prediction, spectral analysis methods, and time delay estimation.
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Machine Learning and Knowledge Extraction, 2023 With the ongoing development of automated driving systems, the crucial task of predicting pedestrian behavior is attracting growing attention. The prediction of future pedestrian trajectories from the ego-vehicle camera perspective is particularly ...
Phillip Czech +3 more
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Multistatic Modular Real‐Time MIMO‐SONAR Systems
IET Radar, Sonar & NavigationMulitstatic SONAR networks (MSNs) have the potential to improve the imaging quality of underwater areas due to the increased degree of freedom. The additional signal processing required for such a network of distributed SONAR nodes compared to monostatic
Frederik Kühne +5 more
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Discrete probability density estimation using multirate DSP models [PDF]
, 2003 We propose a model based approach for estimation of probability mass functions for discrete random variables. The model is based on tools from multirate signal processing.
Vaidyanathan, P. P., Yoon, Byung-Jun
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Magnetoneurograhy of an Electrically Stimulated Arm Nerve
Current Directions in Biomedical Engineering, 2018 For further development and optimization of novel uncooled magnetoelectric (ME) sensors, a better understanding of spectral power distribution and signal strength of nerve signals is of high interest. For obtaining information on these signal properties,
Elzenheimer Eric +3 more
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Hard-Decision Coded Modulation for High-Throughput Short-Reach Optical Interconnect
Entropy, 2020 Coded modulation (CM), a combination of forward error correction (FEC) and high order modulation formats, has become a key part of modern optical communication systems.
Bin Chen +4 more
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Extending classical multirate signal processing theory to graphs [PDF]
, 2017 A variety of different areas consider signals that are defined over graphs. Motivated by the advancements in graph signal processing, this study first reviews some of the recent results on the extension of classical multirate signal processing to graphs.
Teke, Oguzhan, Vaidyanathan, Palghat P.
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Signal enhancement for communication systems used by fire fighters
EURASIP Journal on Audio, Speech, and Music Processing, 2019 So-called full-face masks are essential for fire fighters to ensure respiratory protection in smoke diving incidents. While such masks are absolutely necessary for protection purposes on one hand, they impair the voice communication of fire fighters ...
Michael Brodersen +2 more
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Sub-Nyquist Sampling: Bridging Theory and Practice [PDF]
, 2011 Sampling theory encompasses all aspects related to the conversion of continuous-time signals to discrete streams of numbers. The famous Shannon-Nyquist theorem has become a landmark in the development of digital signal processing. In modern applications,
Eldar, Yonina C., Mishali, Moshe
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