Results 41 to 50 of about 3,090,321 (210)
Causal Diffusion Models for Generalized Speech Enhancement
IEEE Open Journal of Signal ProcessingIn this work, we present a causal speech enhancement system that is designed to handle different types of corruptions. This paper is an extended version of our contribution to the “ICASSP 2023 Speech Signal Improvement Challenge”.
Julius Richter +5 more
doaj +1 more source
Remote Sensing, 2018 Near space is the key to integrating “sky„ and “space„ into the future. A synthetic aperture radar (SAR) that works in this area would initiate a technological revolution for remote sensing applications.
Zhanye Chen +5 more
doaj +1 more source
EdgeFool: An Adversarial Image Enhancement Filter [PDF]
, 2020 Adversarial examples are intentionally perturbed images that mislead classifiers. These images can, however, be easily detected using denoising algorithms, when high-frequency spatial perturbations are used, or can be noticed by humans, when ...
Cavallaro, A +3 more
core
Frame Coherence and Sparse Signal Processing [PDF]
, 2011 The sparse signal processing literature often uses random sensing matrices to obtain performance guarantees. Unfortunately, in the real world, sensing matrices do not always come from random processes.
Bajwa, Waheed U. +2 more
core +1 more source
Leida xuebao, 2023 As a biometric technology, gait recognition is usually considered a retrieval task in real life. However, because of the small scale of the existing radar gait recognition dataset, the current studies mainly focus on classification tasks and only ...
Lan DU +4 more
doaj +1 more source
Gossip Algorithms for Distributed Signal Processing [PDF]
, 2010 Gossip algorithms are attractive for in-network processing in sensor networks because they do not require any specialized routing, there is no bottleneck or single point of failure, and they are robust to unreliable wireless network conditions. Recently,
Dimakis, Alexandros G. +4 more
core +2 more sources
Topological Signal Processing over Simplicial Complexes [PDF]
, 2019 The goal of this paper is to establish the fundamental tools to analyze signals defined over a topological space, i.e. a set of points along with a set of neighborhood relations. This setup does not require the definition of a metric and then it is especially useful to deal with signals defined over non-metric spaces.
arxiv +1 more source
Journal of Integrative Bioinformatics, 2011 We study the inter-dinucleotide distance distributions in the human genome, both in the whole-genome and protein-coding regions. The inter-dinucleotide distance is defined as the distance to the next occurrence of the same dinucleotide.
Bastos Carlos A. C. +5 more
doaj +1 more source
Signal Processing during Developmental Multicellular Patterning [PDF]
, 2008 Developing design strategies for tissue engineering and regenerative medicine is limited by our nascent understanding of how cell populations self-organize into multicellular structures on synthetic scaffolds. Mechanistic insights can be gleaned from the
Asthagiri, Anand R. +1 more
core +1 more source
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