检索结果-内蒙古大学图书馆

Gauss Hermite Fourier Features Based on Maximum Correntropy Criterion for Adaptive Filtering

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS 2025年第3期72卷 1438-1451页

作者： Zhou, Tian Wang, Shiyuan Qian, Junhui Zheng, Yunfei Zhang, Qiangqiang Xiao, Yingying Southwest Univ Coll Elect & Informat Engn Chongqing 400715 Peoples R China Chongqing Univ Sch Microelect & Commun Engn Chongqing 400044 Peoples R China Chongqing Key Lab Biopercept & Intelligent Informa Chongqing 400044 Peoples R China

Kernel adaptive filters (KAFs) are a class of nonlinear adaptive filters developed in the reproducing kernel Hilbert space, and are particularly suitable for addressing signal processing issues involving data streams and unknown nonlinearities. However, KAFs endure the issue of network structure growth as the number of training samples increases. To this end, a novel structural sparsification method for KAFs, i.e., Gauss Hermite Fourier features (GHFF) method, is first proposed by combining Gauss Hermite quadrature integration rule and Fourier transform. Subsequently, the GHFF method is integrated with the maximum correntropy criterion in filter design, leading to the development of two new adaptive filtering algorithms, i.e., GHFF maximum correntropy (GHFFMC) algorithm and stochastic batch GHFFMC (SB-GHFFMC) algorithm. The proposed GHFFMC and SB-GHFFMC algorithms are expected to exhibit excellent capabilities in characterizing the unknown nonlinear relationships within the data, along with robustness to outliers. Meanwhile, SB-GHFFMC is anticipated to exhibit superior filtering performance in comparison with GHFFMC, as it leverages a general and flexible batch gradient descent method for model optimization. Simulations on nonlinear system identification and time-series prediction of Chua's circuits confirm the performance superiorities of the proposed algorithms compared to other robust KAFs and RFF-based filters.

关键词： Kernel Approximation algorithms signal processing algorithms Polynomials Robustness Integrated circuit modeling Fourier transforms Filters Eigenvalues and eigenfunctions Adaptation models Gauss quadrature random Fourier features Gauss Hermite quadrature maximum correntropy criterion stochastic batch

来源：评论

学校读者我要写书评

暂无评论

A General Constrained Adaptive Filtering Algorithm for SISO Channel Estimation and Beamforming

引用

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2025年第2期74卷 2770-2782页

作者： Li, Yingsong Sun, Dazhi Li, Liping Zakharov, Yuriy Miao, Yongchun Huang, Zhixiang Anhui Univ Key Lab Intelligent Comp & Signal Proc Minist Educ Hefei 230093 Peoples R China Univ York Sch Phys Engn & Technol York YO10 5DD England

In wireless communications and vehicle communications, it is useful to use adaptive filtering techniques for channel estimation, beamforming and echo cancellation. In this paper, we propose a general constrained adaptive filtering (GCAF) algorithm for single channel estimation and beamforming, which is obtained by integrating a general and adaptive loss function into the constrained adaptive filtering (CAF) framework. By selecting the parameter in the GCAF, it can approximate to several popular CAF algorithms. Then, the convergence, stability boundary and the stability analysis of the mean squared-deviation have been analyzed and presented in detail. Additionally, The complexity of the GCAF is presented and compared with the existing algorithms. The proposed GCAF is used for single-input and single-output (SISO) channel estimation and beamforming under different noises, and the tracking performance of the GCAF is also analyzed. The simulation results demonstrate that the GCAF algorithm outperforms the typically adaptive filtering algorithms and can effectively approxiamte the similar algorithms under heavy-tailed noises, which makes the proposed GCAF more robust and general.

关键词： Approximation algorithms Channel estimation signal processing algorithms Array signal processing Vectors Convergence Complexity theory Adaptive filtering beamforming channel estimation general constrained adaptive filtering algorithm

来源：评论

学校读者我要写书评

暂无评论

Differential Privacy With Higher Utility by Exploiting Coordinate-Wise Disparity: Laplace Mechanism Can Beat Gaussian in High Dimensions

引用

IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY 2025年 20卷 2836-2851页

作者： Muthukrishnan, Gokularam Kalyani, Sheetal Indian Inst Technol Madras Dept Elect Engn Chennai 600036 India

Conventionally, in a differentially private additive noise mechanism, independent and identically distributed (i.i.d.) noise samples are added to each coordinate of the response. In this work, we formally present the addition of noise that is independent but not identically distributed (i.n.i.d.) across the coordinates to achieve tighter privacy-accuracy trade-off by exploiting coordinate-wise disparity in privacy leakage. In particular, we study the i.n.i.d. Gaussian and Laplace mechanisms and obtain the conditions under which these mechanisms guarantee privacy. The optimal choice of parameters that ensure these conditions are derived considering (weighted) mean squared and l(p)(p)-errors as measures of accuracy. Theoretical analyses and numerical simulations demonstrate that the i.n.i.d. mechanisms achieve higher utility for the given privacy requirements compared to their i.i.d. counterparts. One of the interesting observations is that the Laplace mechanism outperforms Gaussian even in high dimensions, as opposed to the popular belief, if the irregularity in coordinate-wise sensitivities is exploited. We also demonstrate how the i.n.i.d. noise can improve the performance in private (a) coordinate descent, (b) principal component analysis, and (c) deep learning with group clipping.

关键词： Noise Privacy Sensitivity Accuracy Gaussian noise Differential privacy Gaussian distribution Additive noise signal processing algorithms Perturbation methods non-identical noise sensitivity profile Gaussian mechanism Laplace mechanism

来源：评论

学校读者我要写书评

暂无评论

signal processing in GPR Applications for Cave-in Prediction in Road Assessment: A Review

Signal Processing in GPR Applications for Cave-in Prediction...

引用

Digital signal processing and its Applications (DSPA), International Conference on

作者： Vladimir Shlykov Daniil Spitsyn Sergey Guzhov Vadim Tutubalin Sergey Vityazev Stepan Andreev Rui Fan Alexandr Dvorkovich Moscow Institute of Physics and Technology Dolgoprudny Moscow Region Russian Federation Ryazan state radio engineering university named after V.F.Utkin Ryazan Russian Federation Tongji University Shanghai P. R. China National Research University “Moscow Power Engineering Institute” Moscow Russian Federation

ISBN: (数字)9798331518752

ISBN: (纸本)9798331518769

The article focuses on the problem of searching for voids under the road surface using ground penetrating radar (GPR). Early detection of such voids allows for the prediction of road collapses and prevents the occurrence of hazards. The main emphasis is on a review of signal processing algorithms used for this purpose. First, basic signal processing steps common to all GPR applications are considered. Then some advanced GPR signal processing methods are discussed. Next, the techniques used specifically for cave-in prediction are highlighted. Finally, an experimental study is described. The article is a review and introduces an important area of research and development.

关键词： Three-dimensional displays Reviews Roads signal processing algorithms Radar imaging Media Search problems Recording Surface treatment Research and development

来源：评论

学校读者我要写书评

暂无评论

Optimizing Neural Prosthetic Control Systems Using Genetic Algorithm for Adaptive signal processing

Optimizing Neural Prosthetic Control Systems Using Genetic A...

引用

Multi-Agent Systems for Collaborative Intelligence (ICMSCI), International Conference on

作者： S. Purnima A. Sathiya P. Poonkuzhali Minu Balakrishnan Saravanan M M. Saravanan Dept. of BME Jerusalem College of Engineering Chennai Department of ECE M. Kumarasamy College of Engineering (Autonomous) Karur Department of ECE R.M.D. Engineering College Chennai Department of Information Technology Sri Eshwar College of Engineering Coimbatore Department of ECE Sri Eshwar college of engineering Coimbatore Department of ECE Faculty of Engineering & Technology Annamalai University Chidambaram

ISBN: (数字)9798331509828

ISBN: (纸本)9798331509835

Neural prosthetic systems provide promising solutions for restoring motor functions in individuals with disabilities. However, optimizing the control systems that decode neural signals remains a key challenge due to the dynamic nature of neural activity. This paper proposes a novel approach using a Genetic Algorithm (GA) to optimize the parameters of adaptive signal processing algorithms in neural prosthetic systems. The GA enables continuous calibration and adjustment, improving the accuracy of neural signal decoding and control over time. Simulation results show significant improvements in the efficiency of signal decoding from EEG/EMG data, leading to smoother control of prosthetic devices. The proposed methodology offers an adaptive and user-specific solution, contributing to enhanced prosthetic functionality and user experience.

关键词： Accuracy signal processing algorithms Control systems Adaptive signal processing User experience Decoding Time factors Prosthetics Genetic algorithms Testing

来源：评论

学校读者我要写书评

暂无评论

Optimized algorithms for FPGA Implementation of PDCCH Chain for 5G-NR Base Station

引用

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS 2025年

作者： Rudramuniyappa, Harsha Soujanya, Samudrala Singh, Prem Sharma, Ekant IIIT Bangalore ECE Dept Bengaluru 560100 India IIT Roorkee ECE Dept Roorkee 247667 India

The physical layer in a cellular network base station typically runs on a field programmable gate array (FPGA) to enable reconfigurability and adaptability to meet future demands of the network with sufficient computational power. This work proposes a novel architecture and algorithms for the FPGA implementation of the fifth-generation (5G) new radio (NR) physical downlink control channel (PDCCH) using the 3GPP procedures for downlink control information (DCI) processing, including sub-block interleaver, bit selection, scrambling, golden sequence generation, and modulation. The proposed algorithms are optimized to meet 5G-NR frame timings for DCI processing with minimum power consumption and hardware resource utilization. We perform rigorous testing including all corner cases to benchmark our designs in i) standalone mode, and ii) integrated fashion for the end-to-end PDCCH processing. The PDCCH implementation, with maximum DCI payload, using the proposed architecture and algorithms achieves 1.5 mu s latency, 1.98% hardware resource utilization, 1.2$ Gbps throughput and 10 Gbps/W power efficiency. With a subcarrier spacing Delta f=30 KHz, it can multiplex DCI to schedule up to 20 and 40 users for one orthogonal frequency division multiplexing (OFDM) and two OFDM symbols long PDCCH respectively.

关键词： Field programmable gate arrays Hardware Physical layer OFDM 3GPP signal processing algorithms Encoding 1/f noise Throughput Symbols 5G-NR hardware implementation DCI PDCCH FPGA AXI-stream

来源：评论

学校读者我要写书评

暂无评论

Research and Design of AIS Reception signal processing System Based on GNU Radio

Research and Design of AIS Reception Signal Processing Syste...

引用

International Conference on Advanced Communication Technology (ICACT)

作者： Zijiao Zhou Peng Gong Bin Tang Piao He Xiuming Peng Guangwei Zhang National Key Laboratory of Mechatronic Engineering and Control School of Mechatronical Engineering Beijing Institute of Technology Beijing China

ISBN: (数字)9791188428137

ISBN: (纸本)9798331507602

The Automatic Identification System (AIS), as a standard communication and navigation device for ships, plays a significant role in ensuring the safety and efficiency of maritime traffic. The accuracy of the AIS receiver’s signal processing directly affects the bit error rate (BER) and packet error rate (PER) of the AIS system, drawing considerable attention to AIS signal reception and processing technologies. Current research on AIS reception signals mainly focuses on custom implementations using hardware platforms like FPGAs; however, the high cost of hardware implementation has become a limiting factor in the development of AIS signal processing technologies. Therefore, this paper designs an AIS reception signal processing system based on GNU Radio, developing demodulation algorithm and NRZI decoding modules, and testing them with typical demodulation algorithms. Experimental results demonstrate the feasibility and effectiveness of the designed reception signal processing system.

关键词： Costs Software algorithms Bit error rate signal processing algorithms signal processing Hardware Decoding Artificial intelligence Standards Demodulation

来源：评论

学校读者我要写书评

暂无评论

Blind Deconvolution of Graph signals: Robustness to Graph Perturbations

引用

IEEE signal processing LETTERS 2025年 32卷 1381-1385页

作者： Ye, Chang Mateos, Gonzalo Univ Rochester Dept ECE Rochester NY 14627 USA

We study blind deconvolution of signals defined on the nodes of an undirected graph. Although observations are bilinear functions of both unknowns, namely the forward convolutional filter coefficients and the graph signal input, a filter invertibility requirement along with input sparsity allow for an efficient linear programming reformulation. Unlike prior art that relied on perfect knowledge of the graph eigenbasis, here we derive stable recovery conditions in the presence of small graph perturbations. We also contribute a provably convergent robust algorithm, which alternates between blind deconvolution of graph signals and eigenbasis denoising in the Stiefel manifold. Reproducible numerical tests showcase the algorithm's robustness under several graph eigenbasis perturbation models.

关键词： Perturbation methods Deconvolution signal processing algorithms Upper bound Topology Robustness Noise reduction Vectors Temperature sensors Stability analysis Graph signal processing robust blind deconvolution graph perturbation eigenbasis denoising stable recovery

来源：评论

学校读者我要写书评

暂无评论

A Noncontact Sleep Monitoring Method Based on Millimeter-Wave Radar

引用

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 2025年 74卷

作者： Duan, Xiang Li, Kunpeng Liu, Xuan Li, Yang Hou, Yuqing He, Xiaowei Tang, Sheng Northwest Univ Sch Informat Sci & Technol Xian 710127 Shaanxi Peoples R China

High-quality sleep is a fundamental guarantee for human physical health. Sleep monitoring is crucial for understanding sleep quality and structure, but traditional sleep monitoring methods often require specialized lab environments and uncomfortable sensors. This article proposes a noncontact sleep monitoring method based on millimeter-wave radar, which accurately measures breathing and heartbeat rates during sleep by preprocessing reflected signals and using variational mode extraction (VME) algorithm and simultaneously detects snoring events. In order to improve the accuracy of snoring detection, a sliding window algorithm based on data density and amplitude is introduced, effectively filtering out low-amplitude noise and accurately identifying snoring segments. Experimental results show that this method can detect snoring events with an average error of 0.10 s, and the accuracy of breathing rate and heart rate (HR) detection is approximately 0.72 and 2.56 bpm, respectively. This method demonstrates high real-time performance and reliability and is expected to find broad applications in the diagnosis of clinical sleep disorders and home health monitoring.

关键词： Monitoring Sleep apnea Radar Millimeter wave radar Biomedical monitoring Heart rate Sensors Chirp signal processing algorithms Heart beat Breath heartbeat millimeter-wave radar sleep monitoring snore

来源：评论

学校读者我要写书评

暂无评论

A Method to Obtain Non-Power-of-Two FFT Flow Graphs Based on a New Prime Factor Algorithm

引用

IEEE TRANSACTIONS ON signal processing 2025年 73卷 1004-1017页

作者： Bautista, Victor Manuel Garrido, Mario Univ Politecn Madrid UPM ETSI Telecomun DEPT ELECT ENGN MADRID 28040 Spain

This paper presents a novel method to obtain non-power-of-two (NP2) fast Fourier transform (FFT) flow graphs based on a new prime factor algorithm (PFA). The FFT flow graph is crucial for designing FFT architectures but previous works only provide systematic approaches to build flow graphs for power-of-two sizes (P2). Thus, the derivation of NP2 flow graphs is an important step towards the design of efficient NP2 FFT architectures. The proposed approach consists of two independent parts. On the one hand, it obtains all the possible index mappings that lead to a flow graph with no rotations between butterflies. On the other hand, it determines the permutations between butterflies in the flow graph. By combining these two parts, the order of the inputs and outputs is derived. As a result, the entire flow graph is obtained systematically. Additionally, the proposed approach generates all the possible flow graphs for a given factorization of the FFT size. The reduction in operations for NP2 FFTs using the proposed approach leads to a significant reduction in area and power consumption concerning P2 FFTs with similar sizes after implementing the proposed flow graphs directly in hardware. Particularly, there is a significant improvement between the proposed 30-point and 60-point FFT and previous efficient P2 FFTs. This remarkable fact sets NP2 at the forefront of FFT research after being in second place behind P2 FFTs for decades.

关键词： Fast Fourier transforms Flow graphs Indexes signal processing algorithms Discrete Fourier transforms Systematics Standards Software algorithms Hardware Hands Fast Fourier transform (FFT) non-power-of-two (NP2) index mapping prime factor algorithm (PFA) butterfly

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：