본 자료는 신호 처리, 양자화, 잡음 제거, 디지털 신호, 아날로그 신호 및 컨볼루션 분야에 초점을 맞춰 분류하고, 다양한 온라인 과학 저널에 게재된 전 세계 영어 논문 및 특허를 엄선하여 정리한 최신 자료입니다.
System and semiconductor integrated circuit for monitoring link 16 compliance
Patent published on the 2026-06-11 in US under Ref US20260163653 by BAE SYSTEMS INFORMATION AND ELECTRONIC SYSTEMS INTEGRATION INC [US] (Appel Andrew W [us], Loh Alexander [us], Chongoushian John H [us], Gerber Jason E [us], Mindler Joshua P [us])
Abstract: A Link 16 compliance monitoring system, and Link 16 compliance monitoring semiconductor integrated circuit, for LLD monitoring, frequency bin monitoring, and pulse width monitoring comprising an LLD monitoring subsystem, a frequency bin monitoring subsystem, and a pulse width monitoring subsystem, all sharing a frontend subsystem that performs A/D conversion of the inputted Link 16 transmission RF signal and that reduces overhead in digital signal processing by digitally multiplying the Link 16 [...]
Our summary: The content describes a system and integrated circuit for monitoring Link 16 compliance. It includes subsystems for LLD, frequency bin, and pulse width monitoring. The frontend subsystem performs A/D conversion and reduces processing overhead through digital multiplication and decimation.
Link 16, compliance monitoring, integrated circuit, digital signal processing
Patent
Real-time compensation of a downhole signal
Patent published on the 2026-06-11 in WO under Ref WO2026122433 by BAKER HUGHES OILFIELD OPERATIONS LLC [US] (Kunkiel Thomas [us], Souii Amir [us])
Abstract: A sensor circuit receives an analog signal from a sensor, which is filtered and then converted in an analog to digital ("A/D") converter into a digital signal. Combined with the sensor circuit is a calibration circuit having a calibration source and a reconstruction filter. The calibration source is configured to generate simulated sensor signals, which are filtered in the reconstruction filter and digitized in an A/D converter. Switches in the circuits are selectively opened and closed, which i[...]
Our summary: A sensor circuit processes analog signals from a sensor and converts them to digital. A calibration circuit generates simulated signals for filtering and digitization. Switches configure the circuit to isolate components and optimize gain and bias based on input voltages.
signal processing, analog-to-digital conversion, calibration circuit, real-time compensation
Patent
Aircraft wireless intercom system
Patent published on the 2026-06-11 in WO under Ref WO2026121390 by STARNEX CO LTD [KR] (Yoo Ji Wan [kr], Park Sang Rae [kr], Hwang Won Hwa [kr])
Abstract: Disclosed is an aircraft wireless intercom system including: a relay device which converts a voice signal output from a wired intercom system into a digital signal, wirelessly transmits the digital signal to one or more portable transceivers, and converts a signal wirelessly received from the portable transceiver into a voice signal; and the portable transceiver which converts the voice signal collected through a microphone into a digital signal and wirelessly transmits the digital signal to the[...]
Our summary: The aircraft wireless intercom system includes a relay device that converts voice signals between wired and wireless formats. It features portable transceivers that transmit digital signals wirelessly. The system enhances communication distance and rate by utilizing matched polarization antennas.
wireless intercom, aircraft communication, digital signal processing, antenna polarization
Patent
Linear phase filtering in high-level modulation digital communications
Patent published on the 2026-06-11 in US under Ref US20260163770 by HOWARD JOHN [US] (Jalil Steve [us], Howard John [us], Barsbai Rana [us])
Abstract: [0000] A method of extending phase linearity associated with a filtering device used with a multilevel digital signal includes configuring a linearized phase filter in accordance with equation as follows [0000] H ( s ) = ∑ n = 1 N A n P n ( s ) ∑ m = 1 M B m Q m ( s ) , ( 1 ) [0000] wherein n=1,... N, m=1,... M, N and M represent maximum terms of the polynomial, N is not equal to M, s=j*ω, ω=2πf, Pand Qrepresent polynomials, and f represent a normalized frequency of op[...]
Our summary: The method extends phase linearity in filtering devices for multilevel digital signals. It involves configuring a linearized phase filter using a specific polynomial equation. This approach reduces rise and fall times and minimizes ringing in the digital signal.
linear phase filtering, digital communications, multilevel signal, polynomial synthesis
Patent
Signal processing apparatus, processing method for signal processing apparatus, and storage medium
Patent published on the 2026-06-11 in US under Ref US20260164138 by CANON KK [JP] (Nakano Katsuya [jp])
Abstract: [0000] A signal processing apparatus includes a generation unit configured to generate one or more pieces of first input data, a reception unit configured to receive one or more pieces of second input data from an external device, a calculation unit configured to calculate a delay value of the second input data with respect to the first input data, and a determination unit configured to determine that one neural network model among a plurality of neural network models is to be used, the neural n[...]
Our summary: The signal processing apparatus generates first input data and receives second input data. It calculates a delay value for the second input data relative to the first. Based on this delay value, it determines which neural network model to use for processing.
signal processing, neural network, data generation, delay calculation
Patent
Fixation tolerant object recognition with a logarithmically-compressed visual filed
Patent published on the 2026-06-11 in US under Ref US20260162418 by COGNITIVE SCIENT AL INC [US] (Goh Wei Zhong [us], Sederberg Per B [us], Howard Marc W [us], Falk Ami [us])
Abstract: [0000] Systems and methods are described herein that utilize neural networks to learn and implement convolutional filters that can be used over a logarithmically-compressed image. These filters are tolerant to changes in the relative visual fixation of an image, that is, a change of origin in log-polar coordinates. Deep networks, such as those that use multilayered neural networks, may be configured to implement the proposed method for filter learning and to take advantage of the exponential sav[...]
Our summary: The content describes systems and methods for object recognition using neural networks with convolutional filters. These filters are designed to be tolerant to changes in visual fixation, utilizing logarithmically-compressed images. The approach aims to achieve significant efficiency while maintaining fixation invariance.
neural networks, convolutional filters, logarithmically-compressed images, fixation invariance
Patent
Learning-based segmentation of diffusion-weighted MR images with arbitrary q -space samplings
Published on 2026-06-02 by @MIT
Abstract: AbstractSegmenting anatomical regions is a crucial step in many diffusion-weighted MRI (dMRI) workflows, such as region-of-interest analysis or anatomically-constrained tractography, which enable in vivo studies of brain microstructure and connectivity. However, convolutional neural networks (CNNs)—the foundation of most state-of-the-art segmentation models—require structured inputs with a fixed number of channels. This makes them ill-suited for dMRI, where acquisition protocols vary widely [...]
Our summary: This work presents a novel method for segmenting diffusion-weighted MRI data using geometric deep learning. It directly maps unstructured dMRI data to anatomical segmentations without requiring diffusion model fits. The proposed approach achieves robust generalization and superior performance compared to existing methods.
segmentation, diffusion-weighted MRI, geometric deep learning, convolutional neural networks
Publication
Impact of vascular geometry, magnetic field calculations, and water diffusion models
Published on 2026-05-26 by @MIT
Abstract: AbstractBiophysical simulations have guided the development of blood oxygenation level-dependent (BOLD) functional MRI (fMRI) acquisitions and signal models that relate the BOLD signal to the underlying physiology, such as calibrated BOLD and vascular fingerprinting. Numerous simulation techniques have been developed, however, few of them have been directly compared, thus limiting the assessment of the accuracy and interchangeability of these methods as well as the accuracy of the quantitative t[...]
Our summary: This study compares eight simulation approaches for BOLD fMRI, focusing on vascular geometry, magnetic field calculations, and water diffusion models. Most simulations showed good agreement with the reference approach, but biases were noted in two-dimensional geometries. The findings support the use of the reference method for exploratory simulations, enhancing the reliability of BOLD signal interpretations.
vascular geometry, magnetic field calculations, water diffusion models, BOLD fMRI
Publication
