Results 51 to 60 of about 822,606 (159)
Large Scale 2D Spectral Compressed Sensing in Continuous Domain [PDF]
ICASSP, IEEE International Conference on Acoustics, Speech and
Signal Processing - Proceedings, IEEE, 2017, p. 5905-5909, Article number
7953289, 2019 We consider the problem of spectral compressed sensing in continuous domain, which aims to recover a 2-dimensional spectrally sparse signal from partially observed time samples. The signal is assumed to be a superposition of s complex sinusoids. We propose a semidefinite program for the 2D signal recovery problem.
arxiv +1 more source
Nature Communications, 2019 In the original version of this Article the values in the rightmost column of Table 1 were inadvertently shifted relative to the other columns. This has now been corrected in the PDF and HTML versions of the Article.
Lena Maier-Hein +37 more
doaj +1 more source
International Journal of Advanced Robotic Systems, 2020 Autonomous vehicles include driverless, self-driving and robotic cars, and other platforms capable of sensing and interacting with its environment and navigating without human help.
Thomas Andzi-Quainoo Tawiah
doaj +1 more source
Von der Tonbandaufnahme zur integrierten Text-Ton-Datenbank. Instrumente für die Arbeit mit Gesprächskorpora [PDF]
, 2015 The development of tools for computer-assisted transcription and analysis of extensive speech corpora is one main issue at the Institute of German Language (IDS) and the Institute of Natural Language Processing (IMS).
Bodmer Mory, Franck +3 more
core
Recovery of Graph Signals from Sign Measurements [PDF]
arXiv, 2021 Sampling and interpolation have been extensively studied, in order to reconstruct or estimate the entire graph signal from the signal values on a subset of vertexes, of which most achievements are about continuous signals. While in a lot of signal processing tasks, signals are not fully observed, and only the signs of signals are available, for example
arxiv
BMC Musculoskeletal Disorders, 2003 Background The purpose of this study is to present an automated system that analyzes digitized x-ray images of small animal spines identifying the effects of disc degeneration.
Hanley Edward N +4 more
doaj +1 more source
Towards bandwidth estimation for graph signal reconstruction [PDF]
arXiv, 2023 In numerous graph signal processing applications, data is often missing for a variety of reasons, and predicting the missing data is essential. In this paper, we consider data on graphs modeled as bandlimited graph signals. Predicting or reconstructing the unknown signal values for such a model requires an estimate of the signal bandwidth.
arxiv
A Time Comparison of Computer-Assisted and Manual Bathymetric Processing [PDF]
, 2004 We describe an experiment designed to determine the time required to process Multibeam Echosounder (MBES) data using the CUBE (Combined Uncertainty and Bathymetry Estimator) [Calder & Mayer, 2003; Calder, 2003] and Navigation Surface [Smith et al., 2002;
Calder, Brian R., Smith, Shep
core +2 more sources
Self-imitating Feedback Generation Using GAN for Computer-Assisted Pronunciation Training
, 2019 Self-imitating feedback is an effective and learner-friendly method for non-native learners in Computer-Assisted Pronunciation Training. Acoustic characteristics in native utterances are extracted and transplanted onto learner's own speech input, and ...
Chung, Minhwa, Yang, Seung Hee
core +1 more source
Recent trends, technical concepts and components of computer-assisted orthopedic surgery systems: A comprehensive review [PDF]
, 2019 Computer-assisted orthopedic surgery (CAOS) systems have become one of the most important and challenging types of system in clinical orthopedics, as they enable precise treatment of musculoskeletal diseases, employing modern clinical navigation systems ...
Kalová, Martina +5 more
core +1 more source