Results 61 to 70 of about 12,450 (173)
Metalens Array for Complex‐Valued Optical Discrete Fourier Transform
Advanced Optical Materials, Volume 14, Issue 3, 19 January 2026.A single‐layer metalens‐array device performs complex‐to‐complex discrete Fourier transforms (DFTs) optically with O(N) digital time complexity. Integrated interferometric phase retrieval and error mitigation scheme enables accurate, compact, and low‐power optical computing. The approach provides a versatile framework for implementing arbitrary complex‐
Randy Stefan Tanuwijaya +6 more
wiley +1 more source
Speech Recognition with Cochlea‐Inspired In‐Sensor Computing
Advanced Intelligent Systems, Volume 8, Issue 1, January 2026.Traditional speech recognition methods rely on software‐based feature extraction that introduces latency and high energy costs, making them unsuitable for low‐power devices. A proof‐of‐concept demonstration is provided of a bioinspired tonotopic sensor for speech recognition that mimics the human cochlea, using a spiral‐shaped elastic metamaterial. The
Paolo H. Beoletto +4 more
wiley +1 more source
On the Simulatability Condition in Key Generation Over a Non-authenticated Public Channel
, 2014 Simulatability condition is a fundamental concept in studying key generation over a non-authenticated public channel, in which Eve is active and can intercept, modify and falsify messages exchanged over the non-authenticated public channel.
Lai, Lifeng, Tu, Wenwen
core +1 more source
Predictive signal modeling and multi‐rate filtering in accelerated cardiac MRI
Magnetic Resonance in Medicine, Volume 95, Issue 1, Page 585-600, January 2026.Abstract Purpose True real‐time cardiac MRI (CMR), necessary for capturing live cardiac dynamics and imaging irregular cardiac rhythms, remains challenging. In this article, we move toward real‐time CMR in multiple reconstruction frameworks via strategies to predict cardiac motion, improve computational efficiency, reduce artifacts, and preserve ...
Aaron D. Curtis +6 more
wiley +1 more source
Lost in Translation: Harmonizing Terminology and Defining Mathematical Tools for Panel Optimization
Cytometry Part A, Volume 107, Issue 12, Page 793-816, December 2025.ABSTRACT Spectral flow cytometry has evolved from a contentious idea into a mainstay of high‐parameter single‐cell analysis, yet its vocabulary (and the statistical reasoning behind it) remains a patchwork of overlapping, sometimes contradictory terms.
Bartek Rajwa, Mario Roederer
wiley +1 more source
Efficient tomography with unknown detectors
, 2017 We compare the two main techniques used for estimating the state of a physical system from unknown measurements: standard detector tomography and data-pattern tomography.
Hradil, Z. +4 more
core +1 more source
International Journal for Numerical Methods in Fluids, Volume 97, Issue 12, Page 1609-1622, December 2025.In this paper, we consider the concept of discretely divergence‐free finite elements (DDFFE) based on the Rannacher–Turek finite element pair to efficiently solve the three‐dimensional incompressible Navier–Stokes equations. For this purpose, we first define a spanning set of DDFFE functions and then characterize a set of basis functions for arbitrary ...
Christoph Lohmann
wiley +1 more source
Confidence Intervals in High-Dimensional Regression Based on Regularized Pseudoinverses
, 2017 In modern data sets, the number of available variables can greatly exceed the number of observations. In this paper we show how valid confidence intervals can be constructed by approximating the inverse covariance matrix by a scaled Moore-Penrose ...
Boot, Tom, Nibbering, Didier
core +1 more source
Kalman Filtering with Unknown Noise Covariances [PDF]
, 2006 Since it is often difficult to identify the noise covariances for a Kalman filter, they are commonly considered design variables. If so, we can as well try to choose them so that the corresponding Kalman filter has some nice form.
Nilsson, Martin
core +1 more source
Convergence analysis of a proximal Gauss-Newton method
, 2011 An extension of the Gauss-Newton algorithm is proposed to find local minimizers of penalized nonlinear least squares problems, under generalized Lipschitz assumptions.
Salzo, Saverio, Villa, Silvia
core +2 more sources