This is our latest selection of worldwide publications and patents in english on Signal Processing, between many scientific online journals, classified and focused on signal processing, quantization, denoising, digital signal, analog signal and convolution.
Signal processing method and system of antenna
Patent published on the 2026-07-02 in WO under Ref WO2026141935 by AU INC [KR] (Koo June [kr], Kim Min Gyu [kr], Lee Sung Eun [kr], Song Won Young [kr], Kang Seung Hoon [kr])
Abstract: A signal processing method and system of an antenna are disclosed. According to a particular implementation example of the present technology, a phase vector of a received signal of a sparse rectangular array (SRA) antenna is converted into a covariance matrix of an SRA, the converted covariance matrix of the SRA is converted into a covariance matrix of a uniform linear array, high azimuth resolution and elevation resolution are achieved as a result of spectrum analysis of the converted covarian[...]
Our summary: The method converts a phase vector of a sparse rectangular array antenna into a covariance matrix. This matrix is then transformed into a uniform linear array covariance matrix to enhance resolution. The system suppresses sidelobes and accurately extracts target direction without additional equipment.
signal processing, antenna system, covariance matrix, azimuth resolution
Patent
Method and device of bit-shift and parsing-based quantization for eliminating floating-point and division operations for efficient post-training quant
Patent published on the 2026-07-02 in US under Ref US20260187430 by UNIV INDUSTRY COOPERATION GROUP OF KYUNG HEE UNIV [KR] (Kim Jongho [kr], Kim Junyoung [kr], Chang Ik-joon [kr], Je Minkyu [kr], Yi Donghyeon [kr], Lee Seoyoung [kr])
Abstract: Disclosed are a method and a device for bit-shift and parsing-based quantization for eliminating floating-point and division operations for efficient post-training quantization (PTQ), which may be configured to detect a bit of a position at which a value varies in a bitstring of a plurality of input values that are input in a bit-serial form as an effective most significant bit (eMSB), to define a parsing section of a target bit count based on the effective most significant bit, and to perform p[...]
Our summary: The method involves bit-shift and parsing-based quantization to eliminate floating-point and division operations. It detects the effective most significant bit in a bitstring of input values. The approach applies arithmetic shifts to a defined parsing section for efficient post-training quantization.
bit-shift, quantization, post-training, device
Patent
Communication system, communication method and headset device
Patent published on the 2026-07-02 in WO under Ref WO2026137212 by HARMAN INT INDUSTRIES INCORPORATED [US] (Huang Rongjian [cn], Bao Hesheng [cn], Guo Xinyu [cn], Deng Yongbo [cn], Shi Yue [cn], Zhao Jie [cn])
Abstract: The disclosure relates to a communication system including a headset device and a terminal device. The headset device includes at least one earbud and a charging case. The charging case includes a charging case microphone, which is configured to record an input sound, and a processing unit, which is configured to convert an analog signal of the input sound into an input audio signal and transmit the input audio signal to the terminal device. The present disclosure further relates to a communicat[...]
Our summary: The communication system includes a headset device with earbuds and a charging case. The charging case features a microphone to record sound and a processing unit to convert it into an audio signal. The method involves transmitting the audio signal to a terminal device for further processing.
communication system, headset device, audio signal processing, terminal device
Patent
Receiving apparatus
Patent published on the 2026-07-02 in WO under Ref WO2026137843 by HISENSE VISUAL TECH CO LTD [CN] (Ito Hiroaki [jp])
Abstract: The present application relates to a receiving apparatus. By means of a voice-based free conversation between a user and the receiving apparatus, user instructions and content selection to the receiving apparatus can be performed. The receiving apparatus comprises: a voice signal processing portion, which acquires a voice signal comprising the utterance of a user; a language processing portion, which parses the voice signal to interpret content of the utterance of the user, and collects informat[...]
Our summary: The receiving apparatus enables voice-based conversations for user instructions and content selection. It processes voice signals to interpret user utterances and generates responses. Additionally, it stores user interactions and retrieves relevant content based on the dialogue.
voice recognition, natural language processing, user interaction, content retrieval
Patent
Method for determining values of a convolution kernel for an iterative statistical reconstruction procedure used in pet imaging
Patent published on the 2026-07-02 in US under Ref US20260187886 by CZESTOCHOWA UNIV OF TECHNOLOGY [PL] (Cierniak Robert [pl])
Abstract: [0000] A method for determining a convolution kernel for an iterative statistical algorithm based on a continuous-to-continuous data model for image reconstruction from radiation measurements obtained in emission tomography, specifically in a Positron Emission Tomography (PET) scanner. The method improves the resolution of reconstructed images, reduces the radiation dose absorbed by patients during PET examinations, and/or shortens the measurement acquisition time without significant loss in the[...]
Our summary: The method determines a convolution kernel for iterative statistical reconstruction in PET imaging. It enhances image resolution, reduces patient radiation dose, and shortens acquisition time. The design considers statistical properties of measurement signals to maintain functional image quality.
convolution kernel, iterative statistical reconstruction, Positron Emission Tomography, image quality
Patent
Systems and methods for rapid identification of fungal species using counter-propagating gaussian beam raman spectroscopy and deep learning
Patent published on the 2026-07-02 in US under Ref US20260188498 by WAYNE STATE UNIV [US] (Auner Gregory William [us], Koya Satya Kiran [us], Brusatori Michelle [us])
Abstract: [0000] Systems and methods for identification of fungal pathogens, including Candida auris and other Candida species, using Raman spectroscopy integrated with machine learning are described. The systems and methods can utilize a counter-propagating Gaussian beam Raman spectroscopy (CPGB-RS) system in combination with a Convolutional Neural Network (CNN) that processes the Raman spectral data to identify and classify fungal species with high accuracy, sensitivity, and specificity.[...]
Our summary: This content describes systems for identifying fungal pathogens using Raman spectroscopy and deep learning. It focuses on a counter-propagating Gaussian beam Raman spectroscopy system integrated with a Convolutional Neural Network. The approach aims for high accuracy, sensitivity, and specificity in classifying fungal species.
Raman spectroscopy, deep learning, fungal identification, machine learning
Patent
Direct derivation of the modified Langevin noise formalism from the canonical quantization of macroscopic electromagnetism
Published on 2026-06-25 by A Ciattoni @IOP SCIENCE
Abstract: The modified Langevin noise formalism (MLNF) models the interaction of the quantized electromagnetic field with an arbitrary lossy magneto-dielectric object placed in vacuum using three types of non-interacting bosonic polaritons: scattering, electric, and magnetic. These respectively represent free-space photons scattered by the object, and photons radiated by quantized electric and magnetic dipolar sources embedded within its volume. Recently (Ciattoni 2024 Phys. Rev. A110 013707), this formal[...]
Our summary: This paper derives the modified Langevin noise formalism from the canonical quantization of macroscopic electromagnetism. It identifies polariton operators within the solution of macroscopic Maxwell equations and shows their bosonic nature. The derivation is structured in three steps, culminating in the diagonalization of the CQME Hamiltonian.
modified Langevin noise, canonical quantization, bosonic polaritons, macroscopic electromagnetism
Publication
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
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