22 papers · ranked by Valyu relevance
Satoshi Kanno, Yoshi-aki Shimada
We present a new geometric perspective on quantum error correction based on spectral triples in noncommutative geometry. In this approach, quantum error-correcting codes are reformulated as low-energy spectral projections of Dirac-type operators that separate global logical degrees of freedom from local, correctable…
Qian Xue, Yang Yang, Wenkai Ma, Hanqiu Zhang + 5 more
'Xinzheng Lan' 'Liang Gao' 'Jianbing Zhang' 'Jiang Tang'] Title: Abstract Miniaturized computational spectrometers have emerged as a promising strategy for miniaturized spectrometers, which breaks the compromise between footprint and performance in traditional miniaturized spectrometers by introducing computational…
Maximilian Schambach, Jiayang Shi, Michael Heizmann
We present a novel method to reconstruct a spectral central view and its aligned disparity map from spatio-spectrally coded light fields. Since we do not reconstruct an intermediate full light field from the coded measurement, we refer to this as principal reconstruction. The coded light fields correspond to those…
Joaquín García-Sobrino, Joan Serra-Sagristà, Joan Bartrina-Rapesta
The Infrared Atmospheric Sounding Interferometer (IASI), implemented on the MetOp satellite series, represents a significant step forward in atmospheric forecast and weather understanding. The instrument provides infrared soundings of unprecedented accuracy and spectral resolution to derive humidity and atmospheric…
Longqian Huang, Ruichen Luo, Xu Liu, Xiang Hao
The goal of spectral imaging is to capture the spectral signature of a target. Traditional scanning method for spectral imaging suffers from large system volume and low image acquisition speed for large scenes. In contrast, computational spectral imaging methods have resorted to computation power for reduced system…
Jorge Bacca, Alejandra Hernandez-Rojas, Henry Argüello
Compressive spectral imaging (CSI) has emerged as an attractive compression and sensing technique, primarily to sense spectral regions where traditional systems result in highly costly such as in the near-infrared spectrum. Recently, it has been shown that spectral classification can be performed directly in the…
Fengrong He, Ian H. Stevenson, Monty A. Escabi
Theories of efficient coding propose that the auditory system is optimized for the statistical structure of natural sounds, yet the transformations underlying optimal acoustic representations are not well understood. Using a database of natural sounds including human speech and a physiologically-inspired auditory…
Satyabrata Parida, Hari Bharadwaj, Michael G. Heinz
Significant scientific and translational questions remain in auditory neuroscience surrounding the neural correlates of perception. Relating perceptual and neural data collected from humans can be useful; however, human-based neural data are typically limited to evoked far-field responses, which lack anatomical and…
Tongyang Xu, Izzat Darwazeh
Signal waveform is the basic physical layer element that fundamentally determines the most important key performance indicator in communication systems, namely spectral efficiency. Traditional waveforms rely on orthogonal Nyquist shaping but result in restricted spectral efficiency. Non-orthogonal waveforms have been…
Erdal Arıkan, Najeeb ul Hassan, Michael Lentmaier, G. Montorsi + 1 more
The history of channel coding began hand in hand with Shannon's information theory [1]. Following on the pioneering work of Golay [2] and Hamming [3], the majority of linear codes developed in the early ages of coding theory were "error correction" codes in the sense that their aim is to correct errors made by the…
Mohammad Rowshan, Min Qiu, Yixuan Xie, Xinyi Gu + 1 more
Channel coding plays a pivotal role in ensuring reliable communication over wireless channels. With the growing need for ultra-reliable communication in emerging wireless use cases, the significance of channel coding has amplified. Furthermore, minimizing decoding latency is crucial for critical-mission applications…
Laurent Schmalen, Stephan ten Brink, A. Leven
Forward error correction (FEC) in optical communications has been first demonstrated in 1988 [1]. Since then, coding technology has evolved significantly. This pertains not only to the codes but also to encoder and decoder architectures. Modern high-speed optical communication systems require high-performing FEC…
Milena Arruda, Andresso da Silva, Francisco de Assis, Alessandro Giuliani
'Alessandro Giuliani'] The digital signal processing approaches were investigated as a preliminary indicator for discriminating between the protein coding and non-coding regions of DNA. This is because a three-base periodicity (TBP) has already been proven to exist in protein-coding regions arising from the length of…
Wout Bittremieux, Mingxun Wang, Pieter C. Dorrestein
Background: Spectral library searching is currently the most common approach for compound annotation in untargeted metabolomics. Spectral libraries applicable to liquid chromatography mass spectrometry have grown in size over the past decade to include hundreds of thousands to millions of mass spectra and tens of…
Joshua Klein, Henry Lam, Tytus Mak, Wout Bittremieux + 22 more
Mass spectral libraries are collections of reference spectra, usually associated with specific analytes from which the spectra were generated, that are used for further downstream analysis of new spectra. There are many different formats used for encoding spectral libraries, but none have undergone a standardization…
Alain de Cheveigné
Predictive coding is an influential concept in sensory and cognitive neuroscience. It is often understood as involving top-down prediction of bottom-up sensory patterns, but the term also applies to feed-forward predictive mechanisms, for example in the retina. Here, I discuss a recent model of low-level predictive…
Authors not listed
Environmental damping in molecular spectroscopy is commonly treated as a phenomenological source of decoherence and spectral broadening, leading to a monotonic reduction of spectral intensity. Here we show that this assumption is not generally valid. Using a vibronically resolved response-function framework, we…
Denis Tikhonov
Here, we present a new approach for obtaining radial distribution functions (RDF) from the electron diffraction data using a regularized weighted sine least-squares spectral analysis (rwsLSSA). It allows for explicitly transferring the measured experimental uncertainties in the reduced molecular scattering function to…
Hamid Karimi-Rouzbahani
Distinct neural processes are often encoded across distinct time scales of neural activations. However, it has remained unclear if this multiscale coding strategy is also implemented for separate features of the same process. One difficulty is that the conventional methods of time scale analysis provide imperfect…
W. Jeffrey Johnston, Stephanie E. Palmer, David J. Freedman
Neuronal activity in the brain is variable, yet both perception and behavior are generally reliable. How does the brain achieve this? Here, we show that the conjunctive coding of multiple stimulus features, commonly known as nonlinear mixed selectivity, may be used by the brain to support reliable information…
Authors not listed
Structural determination of molecules using solution-state nuclear magnetic resonance (NMR) is a time-consuming effort mostly due to spectral analysis and correlation of spectral features with structural motifs. A few machine learning methods exist to aid this step of the workflow, requiring at least 1H and 13C…
Authors not listed
Recent advances in artificial intelligence have significantly improved spectral data analysis. In this study, we used unsupervised machine learning to classify chemical compounds based on infrared (IR) spectral images, without relying on prior chemical knowledge. The potential of machine learning for chemical…