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共 5177 条记录，以下是21-30 订阅

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Utilizing Support Vector Machines for signal processing in Telecommunications 5th

Utilizing Support Vector Machines for Signal Processing in T...

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5th international conference on Data Science, Machine Learning and applications, ICDSMLA 2023

作者： Mishra, Awakash Mehta, Deepak Arya, Rakesh Prasad, P.S. Maharishi School of Engineering and Technology Maharishi University of Information Technology Uttar Pradesh Lucknow India Karnataka Bengaluru India Department of Computer Science and Engineering School of Engineering and Computing Dev Bhoomi Uttarakhand University Dehradun India School of Computer Science and Engineering Presidency University Karnataka Bengaluru India

ISBN: (纸本)9789819780426

SVMs had been effectively applied to various signal processing tasks in Telecommunications, along with goal detection and category in cognitive radio networks, channel estimation, exploiting spatial variety for multipath wireless conversation channels, interference cancellation, and era of feature vectors for sign type. In goal detection and category in Wi-Fi conversation networks, SVMs may be used to come across and classify specific types of wireless signals with an excessive diploma of accuracy. The input characteristic vectors are comprised of the signal’s spectrum and temporal features, and they are used for the education of the SVM classifier. In channel estimation, SVMs may be used to estimate the unknown channel parameters in Wi-Fi conversation channels with a low but suitable suggest-squared-blunders charge. That is viable via exploiting the diversity of more than one received signal replicas and the usage of the predicted channel parameters to improve signal reception. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Wi-Fi

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Hardware Implementation of Image processing Morphological and Convolution Operations as SoC on FPGAs 24

Hardware Implementation of Image Processing Morphological an...

引用

7th international conference on Digital Medicine and Image processing, DMIP 2024

作者： Moussa, Alfred M. Groves, Richard Rafla, Nader Electrical and Computer Engineering Department Boise State University BoiseID United States

ISBN: (纸本)9798400709586

Efficient image processing architectures are consistently in demand across a multitude of applications, particularly those customized for resource-constrained systems-on-chip (SoC). The increasing need for high-performance image processing in various sectors has driven the development of specialized architectures. However, deploying such architectures on platforms with limited resources, such as SoCs, poses significant challenges. Furthermore, the implementation of complex algorithms to handle large datasets using software solutions often leads to slower response times, prompting exploration into hardware implementations. Field-Programmable Gate Arrays (FPGAs) are becoming popular for hardware implementations because of their attributes: low latency, connectivity, parallel computing capabilities, and flexibility. Consequently, the utilization of FPGA-based implementations has resulted in faster and more efficient performance of unique architectures tailored to specific requirements. This paper presents a novel hardware/software co-design approach to implement erosion, dilation, and neighborhood image processing operations on the FPGA development board, "Zedboard". In this approach, the FPGA is programmed by connecting it to a PC via USB, facilitating the transfer of an image pixel by pixel. The pixels are temporarily stored in on-chip DDR and accessed through DMA (Direct Memory Access) until they are requested by an interrupt signal from the Image processing IP, at which point they are moved to line buffers for faster processing. Once processed, the image is transmitted back to the PC via UART, facilitating pixel-by-pixel transfer for verification, where it is compared with a reference image generated using Python. This comparison confirms a 99.22% match between the processed image and the reference image, with the discrepancy occurring at the image's edges due to initial padding. Additionally, the time required to process the entire image was measured and displayed

关键词： System-on-chip

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11th Vienna international conference on Mathematical Modelling, MATHMOD 2025 - Proceedings

11th Vienna International Conference on Mathematical Modelli...

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11th Vienna international conference on Mathematical Modelling, MATHMOD 2025

The proceedings contain 78 papers. The topics discussed include: dynamic modeling and numerical calculation of a hydraulic actuated flexible knuckle boom crane;control-oriented gray-box modeling for thermoset injection molding;empirical modeling of unsteady bulging in continuous slab casters;computationally efficient optimal control problem formulation illustrated by automotive applications;modelling of an underground electric vehicle cycle for battery sizing analysis using Modelica;physics-informed sparse gaussian processes for model predictive control in building energy systems;application of recurrent neural networks for predictive modeling of electrical submersible pumps in oil extraction;and digital twin for autonomous decision-making in gas lift operations: improving reliability and adaptability.

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SPT: Sequence Prompt Transformer for Interactive Image Segmentation

SPT: Sequence Prompt Transformer for Interactive Image Segme...

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international conference on Acoustics, Speech, and signal processing (ICASSP)

作者： Senlin Cheng Haopeng Sun Tao Xie Hangyue Zhao Yiqiang Chen Bolei Xu XiaoBo Li Ant Group Hangzhou China Beiiing Key Laboratory of Mobile Computing and Pervasive Device Institute of Computing Technology Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China BAIDU Beijing China

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

Interactive segmentation aims to extract objects of interest from an image based on user-provided clicks. In real-world applications, there is often a need to segment a series of images featuring the same target object. However, existing methods typically process one image at a time, failing to consider the sequential nature of the images. To overcome this limitation, we propose a novel method called Sequence Prompt Transformer (SPT), the first to utilize sequential image information for interactive segmentation. Our model comprises two key components: (1) Sequence Prompt Transformer (SPT) for acquiring information from sequence of images, clicks and masks to improve accurate. (2) Topk Prompt Selection (TPS) selects precise prompts for SPT to further enhance the segmentation effect. Additionally, we create the ADE20K-Seq benchmark to better evaluate model performance. We evaluate our approach on multiple benchmark datasets and show that our model surpasses state-of-the-art methods across all datasets.

关键词： Image segmentation Accuracy Benchmark testing signal processing Transformers Acoustics Speech processing

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UniFaceGAN: High-Quality 3D Face Editing With a Unified Latent Space

UniFaceGAN: High-Quality 3D Face Editing With a Unified Late...

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2025 IEEE international conference on Acoustics, Speech, and signal processing, ICASSP 2025

作者： Wei, Jinfu Zhang, Zheng Liao, Ran Gao, Duan Shenzhen International Graduate School Tsinghua University Shenzhen China Huawei Cloud Computing Technologies Co. Ltd. Shenzhen China

ISBN: (纸本)9798350368741

Recent advancements in 3D face generation have explored various representation and generative models. However, these methods often offer limited 3D face editing capabilities. In this paper, we introduce UniFaceGAN, a novel framework for 3D facial editing, leveraging a unified latent space to facilitate diverse and user-friendly 3D facial manipulation. The key to efficient 3D facial editing lies in establishing a representation space that offers essential facial priors. To achieve this, we propose encoding high-dimensional 3D faces into a compact, disentangled latent space which is learned through conditional 3D GANs guided by text descriptions. With the help of the GAN inversion techniques, UniFaceGAN allows us to edit existing 3D faces, accompanied by a residual editing strategy to mitigate inversion errors efficiently. We demonstrate UniFaceGAN can generate high-quality 3D faces and supports various 3D face editing applications, including CLIP-based stylizations, multiple-point-based drag manipulation, and local blending among multiple faces. © 2025 IEEE.

关键词： 3D Digital Avatar 3D Face Editing Multimodal Deep Generative Model

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Graph-Enhanced Dual-Stream Feature Fusion with Pre-Trained Model for Acoustic Traffic Monitoring

Graph-Enhanced Dual-Stream Feature Fusion with Pre-Trained M...

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2025 IEEE international conference on Acoustics, Speech, and signal processing, ICASSP 2025

作者： Fan, Shitong Xiao, Feiyang Wang, Wenbo Qi, Shuhan Zhu, Qiaoxi Wang, Wenwu Guan, Jian Group of Intelligent Signal Processing Harbin Engineering University Harbin China Faculty of Computing Harbin Institute of Technology Harbin China School of Computer Science and Technology Harbin Institute of Technology Shenzhen China Acoustics Lab University of Technology Sydney Ultimo Australia Centre for Vision Speech and Signal Processing University of Surrey Guildford United Kingdom

ISBN: (纸本)9798350368741

Microphone array techniques are widely used in sound source localization and smart city acoustic-based traffic monitoring, but these applications face significant challenges due to the scarcity of labeled real-world traffic audio data and the complexity and diversity of application scenarios. The DCASE Challenge's Task 10 focuses on using multi-channel audio signals to count vehicles (cars or commercial vehicles) and identify their directions (left-to-right or vice versa). In this paper, we propose a graph-enhanced dual-stream feature fusion network (GEDF-Net) for acoustic traffic monitoring, which simultaneously considers vehicle type and direction to improve detection. We propose a graph-enhanced dual-stream feature fusion strategy which consists of a vehicle type feature extraction (VTFE) branch, a vehicle direction feature extraction (VDFE) branch, and a frame-level feature fusion module to combine the type and direction feature for enhanced performance. A pre-trained model (PANNs) is used in the VTFE branch to mitigate data scarcity and enhance the type features, followed by a graph attention mechanism to exploit temporal relationships and highlight important audio events within these features. The frame-level fusion of direction and type features enables fine-grained feature representation, resulting in better detection performance. Experiments demonstrate the effectiveness of our proposed method. GEDF-Net is our submission that achieved 1st place in the DCASE 2024 Challenge Task 10. © 2025 IEEE.

关键词： Acoustic-based traffic monitoring feature fusion graph attention pre-trained model transfer learning

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TS-SUPERB: A Target Speech processing Benchmark for Speech Self-Supervised Learning Models

TS-SUPERB: A Target Speech Processing Benchmark for Speech S...

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2025 IEEE international conference on Acoustics, Speech, and signal processing, ICASSP 2025

作者： Peng, Junyi Ashihara, Takanori Delcroix, Marc Ochiai, Tsubasa Plchot, Oldrich Araki, Shoko Černocký, Jan Brno University of Technology Czech Republic NTT Corporation Japan

ISBN: (纸本)9798350368741

Self-supervised learning (SSL) models have significantly advanced speech processing tasks, and several benchmarks have been proposed to validate their effectiveness. However, previous benchmarks have primarily focused on single-speaker scenarios, with less exploration of target-speaker tasks in noisy, multi-talker conditions-a more challenging yet practical case. In this paper, we introduce the Target-Speaker Speech processing Universal Performance Benchmark (TS-SUPERB), which includes four widely recognized target-speaker processing tasks that require identifying the target speaker and extracting information from the speech mixture. In our benchmark, the speaker embedding extracted from enrollment speech is used as a clue to condition downstream models. The benchmark result reveals the importance of evaluating SSL models in target speaker scenarios, demonstrating that performance cannot be easily inferred from related single-speaker tasks. Moreover, by using a unified SSL-based target speech encoder, consisting of a speaker encoder and an extractor module, we also investigate joint optimization across TS tasks to leverage mutual information and demonstrate its effectiveness. © 2025 IEEE.

关键词： Self-supervised learning speech enhancement speech recognition target-speaker speech processing voice activity detection

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LP-Gaussians: Learnable Parametric Gaussian Splatting for Efficient Dynamic Reconstruction of Single-View Scenes

LP-Gaussians: Learnable Parametric Gaussian Splatting for Ef...

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2025 IEEE international conference on Acoustics, Speech, and signal processing, ICASSP 2025

作者： Wu, Shaoqi Xie, Weixing Peng, Youhong Li, Jinwen Yao, Jiawei Yao, Junfeng Center for Digital Media Computing School of Film School of Informatics Xiamen University China National Institute for Data Science in Health and Medicine Xiamen University China Key Laboratory of Digital Protection and Intelligent Processing of Intangible Cultural Heritage of Fujian and Taiwan Ministry of Culture and Tourism Taiwan

ISBN: (纸本)9798350368741

With the popularity of short video platforms, the number of single-view videos has increased significantly. Existing NeRF-based methods can reconstruct dynamic scenes in a single-view setting, but slow rendering speed and low rendering quality limit their practical applications. To address these challenges, we propose a fast single-view scenes reconstruction framework based on 3D Gaussian Splatting. Our method uses point clouds obtained with depth priors as the Gaussian initialization and introduces learnable parametric functions to model the time-dependent deformation of Gaussians. The explicit deformation modeling for Gaussians significantly reduces training and rendering time. Furthermore, to improve the rendering quality of challenging areas, we adopt an adaptive sampling strategy to densify Gaussians. For occlusion problems from single-view videos, we design a smooth loss function to restore the color of the occluded areas. Experimental results demonstrate that our method significantly reduces training time, enhances rendering quality, and accelerates rendering speed. Project page: https://***/LPGaussians. © 2025 IEEE.

关键词： 3D Gaussian Splatting Dynamic Scene Reconstruction Single-view Reconstruction

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Quantum Linguistics in Patient-Clinical Trial Relations for Improved Healthcare

Quantum Linguistics in Patient-Clinical Trial Relations for ...

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pervasive Computational Technologies (ICPCT), international conference on

作者： Chandani Arora Ramandeep Sandhu Sardar M. N. Islam School of Computer Science & Engineering Lovely Professional University Phagwara India Applied Informatics Research Victoria University Melbourne Australia

ISBN: (数字)9798331508685

ISBN: (纸本)9798331519476

The healthcare industry is undergoing a fundamental revolution with the integration of Quantum Natural Language processing techniques for matching patient-clinical trials. This research envisions a paradigm where patients and clinical trials collaborate, changing the way healthcare is supplied and medical research is conducted. Apart from this, the research focuses on engaging patients in clinical trials. Patient involvement refers to the process by which patients and their healthcare providers collaborate to make decisions regarding their health. Within the framework of clinical studies, this may entail participants providing input on study designs or monitoring their data through wearable technology and smartphone apps. Quantum NLP has the potential to enhance patient outcomes and advance medical knowledge more quickly by enabling more precise and effective clinical trials. By setting the framework for future applications of quantum NLP, this study expands the conversation on the connection between quantum computing and healthcare.

关键词： Quantum computing Computational modeling Medical services Oral communication Clinical trials Natural language processing Data models Pattern matching Monitoring Sorting

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Advanced VLSI-Based Design of Multiple Path OTAs with Dual Flipped Voltage Follower for signal processing & Communication applications

Advanced VLSI-Based Design of Multiple Path OTAs with Dual F...

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Intelligent and Innovative Technologies in computing, Electrical and Electronics (IITCEE), international conference

作者： Balaji G.H. Pavithra G. T.C. Manjunath Dept. of Electronics & Communication Engineering Dayananda Sagar College of Engineering Design & Verification Intern Maven Silicon (Pvt) Ltd. Bangalore & Ex-ECE UG BE Department of Electronics & Communication Engineering Dayananda Sagar College of Engineering Bangalore Karnataka India

ISBN: (数字)9798331515911

ISBN: (纸本)9798331515928

This research paper presents the Advanced VLSI-Based Design of Multiple Path OTAs with Dual Flipped Voltage Follower for signal processing & Communication applications, targeted for VLSI-based signal processing cases. Leveraging 50nm CMOS technology and Cadence tools, the proposed OTA architecture offers enhanced performance and versatility in signal processing tasks. The design incorporates multiple paths for signal processing, enabling improved bandwidth, gain, and linearity while minimizing common-mode noise. The inclusion of Dual Flipped Voltage Follower enhances the OTA's stability and dynamic range, ensuring reliable operation in high-speed VLSI systems. Through extensive simulation studies, the paper demonstrates the effectiveness of the proposed OTA design in meeting the stringent requirements of modern signal processing applications. This research contributes to the advancement of VLSI design methodologies, offering a promising solution for high-performance signal processing tasks in nanoscale CMOS technologies. The simulation results from the cadence tool shows the effectiveness of the methodology that is being presented in this research article.

关键词： Simulation Noise Linearity Voltage signal processing Very large scale integration CMOS technology Stability analysis Nanoscale devices Transconductance

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