Esta es nuestra última selección de publicaciones y patentes mundiales en inglés sobre Procesamiento de Señales, entre muchas revistas científicas en línea, clasificadas y centradas en procesamiento de señales, cuantización, denoising, señal digital, señal analógica y convolución.
Information processing program and information processing device
Patent published on the 2026-10-15 in WO under Ref WO2026216020 by FUJITSU LTD [JP] (Arai Yamato [jp], Ichikawa Yuma [jp])
Abstract: An information processing device sequentially quantizes layers i of a multilayer model by using PV-Tuning. At such a time, when performing a P-Step on a certain layer i, the information processing device performs the P-Step by using an objective function including an elements that serves to reduce quantization errors accumulated up to the immediately preceding layer i-1. When performing the V-Step on a certain layer i, the information processing device performs the V-Step by means of a gradient-[...]
Our summary: The information processing device quantizes layers of a multilayer model using PV-Tuning. It reduces quantization errors from the previous layer during the P-Step and applies a gradient-based optimization with an entropy term during the V-Step. This approach minimizes performance degradation and processing time during model quantization.
quantization, multilayer model, optimization, entropy
Patent
Microfluidic devices containing micro-immunobeads-based electromagnetic operation systems and methods of use thereof
Patent published on the 2026-10-15 in US under Ref US20260316074 by ADVANCED BIOMEDICAL INSTRUMENTATION CENTRE LTD [CN] (Fan Xiaoxue [cn], Ye Xinyu [cn], Chang Chuen Chung [cn], Shum Ho Cheung [cn], Lin Haisong [cn])
Abstract: Microfluidic devices and methods for automated analyte detection are provided. The microfluidic devices contain a biochip and an electromagnetic (EM) chip with a programmable navigation matrix. The biochip includes a sample loading chamber, one or more wash chambers, a binding chamber, a detection chamber, and optionally a stop buffer chamber, all of which may be in fluid communication with each other. Immunomagnetic exosome beads can be pre-loaded or added separately to capture target analytes.[...]
Our summary: The microfluidic device integrates a biochip and an electromagnetic chip for analyte detection. It features chambers for sample processing and uses immunomagnetic beads for target capture. The electromagnetic chip manipulates the beads through programmable coils and circuits.
Microfluidics, Immunobeads, Electromagnetic manipulation, Automated analyte detection
Patent
Optical-fiber-based optical data storage and reading method and system
Patent published on the 2026-10-15 in WO under Ref WO2026214564 by LIU CHONG [CN] (Liu Chong [cn])
Abstract: The present application relates to an optical-fiber-based optical data storage and reading method and system. Data to be stored is converted into an optical signal sequence, and the optical signal sequence is written into an optical transmission medium in chronological order to allow optical signals to propagate or circulate in the medium, so as to implement data storage; and a receiving end detects the optical signals and performs signal processing, so as to implement data recovery. The present[...]
Our summary: The method involves converting data into an optical signal sequence for storage in an optical medium. Signals propagate in chronological order for effective data retrieval. The system is characterized by simplicity, anti-interference, and stability in data storage.
Optical data storage, Optical signals, Signal processing, Data recovery
Patent
Systems and methods for policy-aware ai-driven allocation of asset ownership and usage with transaction compression, multilateral netting, and audit-g
Patent published on the 2026-10-15 in US under Ref US20260320714 by HECHT THOMAS [US] (Hecht Thomas [us])
Abstract: [0000] A computing platform allocates ownership of an asset for maximized collective economic benefit while preserving user usage rights. The platform ingests asset-utilization transactions, user profiles, and supplemental datasets, and trains and executes an AI/ML categorization engine on a hardware accelerator using quantization and sparsity-preserving updates. The platform predicts a most-efficient-use vector, detects ownership inefficiency, selects a specialized ownership entity that maximiz[...]
Our summary: A computing platform optimizes asset ownership allocation for collective economic benefit while maintaining user rights. It utilizes AI/ML to analyze transactions and user profiles to enhance efficiency. The system also generates audit-grade receipts and compresses obligations to streamline settlement processes.
AI-driven allocation, asset ownership, transaction compression, multilateral netting
Patent
System and method for beaconless adaptive optics by means of a multi-plane sensor and convolutional neural network
Patent published on the 2026-10-15 in US under Ref US20260323167 by THE GOVERNMENT OF THE US SECRETARY OF THE NAVY [US] (Dicomo Gregory P [us], Witt George A [us])
Abstract: [0000] An apparatus includes a laser emitting laser light. The apparatus includes a wavefront corrector. The wavefront corrector directs the laser light through a distorting optical medium to a scattering object. The scattering object scatters the distorted light from the distorted spot back through the distorting optical medium to impinge upon the wavefront corrector. The apparatus includes a plurality of imaging cameras including a focal plane camera and at least one of a post-focus camera and[...]
Our summary: The system uses laser light and a wavefront corrector to manage distortions from an optical medium. Imaging cameras capture scattered light and generate image data. A convolutional neural network processes this data to adjust the wavefront corrector for improved image quality.
adaptive optics, multi-plane sensor, convolutional neural network, wavefront corrector
Patent
Systems and methods for distributed electroencephalography synchronization
Patent published on the 2026-10-15 in US under Ref US20260314980 by KOUZIS LOUKAS DIMITRIOS [US] (Kouzis-loukas Dimitrios [us])
Abstract: [0000] Systems and methods for distributed electroencephalography in accordance with embodiments of the invention are illustrated. One embodiment includes a sensor platform for a distributed sensor system, comprising a receiver, a phase locked loop (PLL) device, comprising a first phase detector configured to receive a reference signal from the receiver, a first low pass filter configured to receive an output of the first phase detector, and a first voltage controlled oscillator configured to re[...]
Our summary: The invention details systems for distributed electroencephalography synchronization. It includes a sensor platform with a phase locked loop for signal processing. The system utilizes an analog-to-digital converter to generate digital output signals based on input analog signals.
electroencephalography, synchronization, phase locked loop, analog-to-digital converter
Patent
evidence from China and the European Union carbon markets
Published on 2026-10-14 by @OXFORD
Abstract: AbstractAgainst the backdrop of accelerating global carbon neutrality efforts, carbon markets have become important policy instruments for achieving emission reduction targets. However, their complex pricing mechanisms and pronounced nonlinear and nonstationary characteristics continue to challenge accurate forecasting. To address these issues, this study develops a hybrid forecasting framework integrating Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN), a convolutio[...]
Our summary: This study develops a hybrid forecasting framework for carbon markets using CEEMDAN, CNN, and BiGRU. It improves forecasting accuracy and stability while analyzing regional differences in influencing factors. A dynamic risk warning module identifies abnormal price movements, aiding market participants and regulators.
carbon markets, forecasting, CEEMDAN, CNN-BiGRU
Publication
Adaptive parallel multi-representation MiniROCKET for time series classification
Published on 2026-10-05 by @OXFORD
Abstract: AbstractTime series classification has achieved strong performance through transformation-based methods such as MiniROCKET, which rely on fast random convolutional feature extraction from raw temporal signals. However, representing time series data in a single domain limits the ability to capture complex temporal–spectral and structural characteristics in diverse real-world datasets. In this study, we propose ManyROCKET, an adaptive parallel MiniROCKET framework that integrates multiple comple[...]
Our summary: ManyROCKET is an adaptive parallel framework for time series classification that integrates multiple signal representations. It utilizes seven established transformations to enhance feature extraction and classification performance. Extensive experiments show that ManyROCKET outperforms the standard MiniROCKET baseline across diverse datasets.
time series classification, MiniROCKET, multi-representation, adaptive framework
Publication
