Signal Processing
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Related Articles from SNS
Algebraic Diversity: Principles of a Group-Theoretic Approach to Signal Processing
arXiv:2604.19983v5 Announce Type: replace-cross Abstract: We present principles of algebraic diversity (AD), a group-theoretic approach to signal processing exploiting signal symmetry to extract more information per observation, complementing classical methods that use temporal and spatial diversity. The transformations under which a signal's statistics are invariant form a matched group; this group determines the natural transform for analysis, and averaging an estimator over the group...
Solving 2D Black Scholes Equation via Hermitian Block Embedding and Generalised Quantum Signal Processing
arXiv:2606.00458v1 Announce Type: cross Abstract: The Black Scholes equation provides a fundamental model for the no arbitrage pricing of financial derivatives. After finite difference discretisation, the pricing problem can be formulated as a finite dimensional linear algebra problem involving the inverse of a non Hermitian time step matrix. Recent advances in quantum linear algebra algorithms, particularly the generalised quantum signal processing (GQSP)algorithm, enable matrix functions...
Optimal Wiener-Filter Solutions for Denoising of Graph Signals on Directed Graphs
Electrical Engineering and Systems Science > Signal Processing [Submitted on 5 Jun 2026] Title:Optimal Wiener-Filter Solutions for Denoising of Graph Signals on Directed Graphs View PDF HTML (experimental)Abstract:Graph signal processing has opened new avenues to the canonical denoising problem in interesting settings.
Statistical Testing on Directed Graphs by Surrogate Data Generation
arXiv:2606.00758v1 Announce Type: cross Abstract: In recent years, graph signal processing has emerged as a powerful framework at the intersection of signal processing and graph theory, providing tools for the analysis of signals defined on nodes while accounting for their relationships represented by edges. These tools have been successfully applied to various settings, including statistical hypothesis testing. In particular, non-parametric approaches based on surrogate generation have been...
FPGA Based Feedforward System for Photonic Quantum Computing Applications
Announce Type: cross Abstract: Field-programmable gate arrays provide a high-performance solution for real-time signal processing in emerging quantum and photonic technologies. We present an FPGA-based fast feedforward system, that incorporates a high quantum efficiency fully fibre based homodyne detector, to enable low-latency signal processing critical for continuous variables (CV) measurement-based quantum information processing (MB-QIP) protocols. CV MB-QIP typically relies on adaptive...
Classification and detection of multiple UAVs using rational Gaussian wavelet neural networks
arXiv:2605.26310v2 Announce Type: replace Abstract: The detection of unmanned aerial vehicles (UAVs) is important for the protection of civilian and military infrastructure. In this paper we propose a cost effective UAV detection system using sound signals obtained from microphones. The recorded signals are passed through a signal processing pipeline which employs interpretable adaptive feature extractors using so-called rational Gaussian wavelets.
Physics-Aware Linearized ADMM and Its Unrolling
Announce Type: cross Abstract: Recently, partial differential equations (PDEs) have been used to directly model the measurement process in signal processing, although their evaluation is costly. In this paper, we propose a novel alternating direction method of multipliers (ADMM)-based algorithm called physics-aware linearized ADMM (PA-LADMM) for inverse problems from PDE-based measurement processes.
Controlled Chemical Signaling between Enzymatic Nanomotors
arXiv:2606.04138v1 Announce Type: cross Abstract: The coordinated interactions between organisms enhance collective functionality, a feature that artificial systems such as enzymatic nanomotors seek to replicate. A key objective, yet still a major challenge, is to achieve chemical communication among nanomotors. Progress has been limited by the difficulties in verifying effective signaling processes, including chemical signal propagation and the response of receiving nanomotors.
Learning What's Real: Disentangling Signal and Measurement Artifacts in Multi-Sensor Data, with Applications to Astrophysics
arXiv:2604.09787v2 Announce Type: replace-cross Abstract: Data collected from the physical world is always a combination of multiple sources: an underlying signal from the physical process of interest and a signal from measurement-dependent artifacts from the sensor or instrument. This secondary signal acts as a confounding factor, limiting our ability to extract information about the physics underlying the phenomena we observe.
China Mobile Jiangsu and ZTE unveil intelligent complaint analysis agent to reshape core network O&M
ZTE has joined forces with China Mobile Jiangsu under the guidance of China Mobile's Network Division to pioneer the implementation of core network complaint agent capabilities, marking a significant step forward in accelerating intelligent network operations and maintenance (O&M) transformation. Both parties innovatively introduce the multi-modal signaling model and agent technology to reconstruct the complaint handling process, implement automatic signaling analysis, and efficiently...