Tootfinder

Dat zou wat zijn als ik mn signal ook op een ander Android apparaat (tablet of foon) zou kunnen gebruiken.
@… #Signal

Neural Functions for Learning Periodic Signal
Woojin Cho, Minju Jo, Kookjin Lee, Noseong Park
https://arxiv.org/abs/2506.09526 https://

Neural Functions for Learning Periodic Signal
As function approximators, deep neural networks have served as an effective tool to represent various signal types. Recent approaches utilize multi-layer perceptrons (MLPs) to learn a nonlinear mapping from a coordinate to its corresponding signal, facilitating the learning of continuous neural representations from discrete data points. Despite notable successes in learning diverse signal types, coordinate-based MLPs often face issues of overfitting and limited generalizability beyond the train…

Faster-than-Nyquist Signaling is Good for Single-Carrier ISAC: An Analytical Study
Shuangyang Li, Fan Liu, Yifeng Xiong, Weijie Yuan, Baoming Bai, Christos Masouros, Giuseppe Caire
https://arxiv.org/abs/2506.09931

Faster-than-Nyquist Signaling is Good for Single-Carrier ISAC: An Analytical Study
In this paper, we provide an analytical study of single-carrier faster-than-Nyquist (FTN) signaling for integrated sensing and communications (ISAC). Our derivations show that FTN is advantageous for ISAC, and reveal new insights that these advantages come from the fact that FTN signaling can effectively avoid the spectral aliasing due to the mismatch between the symbol rate and the bandwidth of the shaping pulse. Specifically, the communication spectral efficiency advantages of FTN signaling o…

MARS: Processing-In-Memory Acceleration of Raw Signal Genome Analysis Inside the Storage Subsystem
Melina Soysal, Konstantina Koliogeorgi, Can Firtina, Nika Mansouri Ghiasi, Rakesh Nadig, Haiyu Mayo, Geraldo F. Oliveira, Yu Liang, Klea Zambaku, Mohammad Sadrosadati, Onur Mutlu
https://arxiv.org/abs/2506.10931

MARS: Processing-In-Memory Acceleration of Raw Signal Genome Analysis Inside the Storage Subsystem
Raw signal genome analysis (RSGA) has emerged as a promising approach to enable real-time genome analysis by directly analyzing raw electrical signals. However, rapid advancements in sequencing technologies make it increasingly difficult for software-based RSGA to match the throughput of raw signal generation. This paper demonstrates that while hardware acceleration techniques can significantly accelerate RSGA, the high volume of genomic data shifts the performance and energy bottleneck from co…

On the use and interpretation of signal-model indistinguishability measures for gravitational-wave astronomy
Jonathan E. Thompson, Charlie Hoy, Edward Fauchon-Jones, Mark Hannam
https://arxiv.org/abs/2506.10530

On the use and interpretation of signal-model indistinguishability measures for gravitational-wave astronomy
The difference ("mismatch") between two gravitational-wave (GW) signals is often used to estimate the signal-to-noise ratio (SNR) at which they will be distinguishable in a measurement or, alternatively, when the errors in a signal model will lead to biased measurements. It is well known that the standard approach to calculate this "indistinguishability SNR" is too conservative: a model may fail the criterion at a given SNR, but not necessarily incur a biased measurement of any individual param…

#Paradromics: Preclinical neural signal stability https://www.paradromics.com/blog/preclinical-neural-signal-stability "Patients want a device that serves th…

Preclinical Neural Signal Stability | Paradromics Blog
Animal testing results demonstrate long-term reliability of intercortical brain-computer Interface.

Performance and uses of the Refimeve metrological signal, 1000 km from the source
Collombon Mathieu (PIIM, AMU, CNRS), Cantin Etienne (LPL, CNRS), Hagel Ga\"etan (PIIM, AMU, CNRS), Pottie Paul-Eric (LTE, PSL, SU, LNE, CNRS), Houssin Marie (PIIM, AMU, CNRS), Champenois Caroline (PIIM, AMU, CNRS)
https://arxiv.org/abs/2506.09…

Performance and uses of the Refimeve metrological signal, 1000 km from the source
We present a detailed analysis of the end-user performance of the metrological signal at 1542 nm disseminated by the French national fibre network Refimeve, about 1000 km from the source. By the mean of a local ultrastable laser at 729 nm and a frequency comb, we are able to carry out stability and phase noise measurements of the signal with respect to the local laser. With a focus on phase noise analysis we identify different timescales of interest for the use of this signal in optical frequen…

Positron Signal from the Early Universe
L. Stodolsky, J. Silk
https://arxiv.org/abs/2506.10131 https://arxiv.org/pdf/2506.10131

On The Green Light Signal and Beyond (2021) - Learn how I am trying a smart lighting nudge @home to use 'leccy at grid-friendly times. #IoT #CO2Intensity -

On The Green Light Signal and Beyond (2021)
Learn how I am trying a smart lighting nudge @home to use leccy at grid-friendly times. #IoT #CO2Intensity

Distinguishing Monochromatic Signals in LISA and Taiji: Ultralight Dark Matter versus Gravitational Waves
Heng-Tao Xu, Yue-Hui Yao, Yong Tang, Yue-Liang Wu
https://arxiv.org/abs/2506.09744

Distinguishing Monochromatic Signals in LISA and Taiji: Ultralight Dark Matter versus Gravitational Waves
Ultralight dark matter (ULDM) is an attractive candidate for cold dark matter, one of the main mysterious components of the Universe. Recent studies suggest that gravitational-wave (GW) laser interferometers can also detect bosonic ULDM fields, which would produce monochromatic signals resembling those from gravitational waves (GWs). Distinguishing between these potential origins therefore would be essential. In this work, we develop a method to address this challenge for space-based GW interfe…