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IEEE Transactions on Signal Processing

短名	IEEE Trans. Signal Process.
Journal Impact	4.47
国际分区	ENGINEERING, ELECTRICAL & ELECTRONIC(Q1)
期刊索引	SCI Q1中科院 2 区

ISSN	1053-587X, 1941-0476
h-index	301
国内分区	工程技术(2区)工程技术工程电子与电气(2区)
Top期刊	是

IEEE TRANSACTIONS ON SIGNAL PROCESSING 涵盖了处理、理解、学习、检索、挖掘和从信号中提取信息的新技术的理论、算法、性能分析和应用。术语“信号”包括音频、视频、语音、图像、通信、地球物理、声纳、雷达、医疗和音乐信号等。感兴趣的主题示例包括但不限于信息处理以及过滤、编码、传输、估计、检测、分析、识别、合成、记录和再现信号的理论和应用。

期刊主页投稿网址

涉及主题	计算机科学数学工程类算法电信电气工程统计人工智能物理电子工程量子力学计算机网络计算机视觉航空航天工程雷达数学分析计算机硬件经济数字信号处理频道（广播）信号处理数学优化程序设计语言机器学习
出版信息	出版商: Institute of Electrical and Electronics Engineers Inc.，出版周期: Monthly，期刊类型: journal
基本数据	创刊年份: 1991，原创研究文献占比: 100.00%，自引率:8.70%， Gold OA占比: 19.39%
平均审稿周期	网友分享经验：平均3.0个月
平均录用比例	网友分享经验：约25%

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One-Bit Spectrum Sensing for Cognitive Radio

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Sequential Joint Detection and Estimation: Optimal Average Stopping Time

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On the Sum of Products of Independent Complex Normal Variables: Understanding the Fundamental SNR Gain Limit of MIMO-RIS

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Marginalized Beam Search Algorithms for Hierarchical HMMs

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Structure-preserving non-linear PCA for matrices

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Efficient Singular Spectrum Mode Ensemble for Extracting Wide-Band Components in Overlapping Spectral Environments

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Efficient Eigen-Decomposition for Low-Rank Symmetric Matrices in Graph Signal Processing: An Incremental Approach

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Behavioral Utility-based Distributed Detection with Conditionally Independent Observations

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Sensing Jamming Strategy from Limited Observations: An Imitation Learning Perspective

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Transmitter Precoder Design to Improve the Performance of the MUSIC Algorithm

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Constructing Indoor Region-based Radio Map without Location Labels

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Convex Parameter Estimation of Perturbed Multivariate Generalized Gaussian Distributions

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ECCM Strategies for Radar Systems against Smart Noise-like Jammers

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DISH: A Distributed Hybrid Optimization Method Leveraging System Heterogeneity

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Analog Product Coding for Over-the-Air Aggregation Over Burst-Sparse Interference Multiple-Access Channels

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Federated Learning from Heterogeneous Data via Controlled Air Aggregation with Bayesian Estimation

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Asymptotics of Distances Between Sample Covariance Matrices

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Learnable Filters for Geometric Scattering Modules

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Detection of Ghost Targets for Automotive Radar in the Presence of Multipath

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A Communication-Efficient Algorithm for Federated Multilevel Stochastic Compositional Optimization

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Optimization of High-resolution and Ambiguity-free Sparse Planar Array Geometry for Automotive MIMO Radar

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Extended Object Tracking Using Aspect Ratio

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DoA Estimation for Hybrid Receivers: Full Spatial Coverage and Successive Refinement

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Quantized Radio Map Estimation Using Tensor and Deep Generative Models

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Projected Gradient Descent for Spectral Compressed Sensing via Symmetric Hankel Factorization

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Sensor Network Localization via Riemannian Conjugate Gradient and Rank Reduction

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Stability to Deformations of Manifold Filters and Manifold Neural Networks

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Near-Field 3D Localization via MIMO Radar: Cramér-Rao Bound Analysis and Estimator Design

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HKF: Hierarchical Kalman Filtering with Online Learned Evolution Priors for Adaptive ECG Denoising

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Spectral Graph Learning with Core Eigenvectors Prior via Iterative GLASSO and Projection

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Ultimately Bounded State Estimation for Nonlinear Networked Systems with Constrained Average Bit Rate: A Buffer-Aided Strategy

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Efficient dual-scale generalized Radon-Fourier transform detector family for long time coherent integration

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Estimating Resonances in Low-SNR Late-Time Radar Returns with Sampling Jitter

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From Global Statistic to Local Statistic: Micro-Doppler Period Estimation Based on Short-Time Similarity Statistic

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Multi-dimensional Resource Management Scheme for Multiple Target Tracking under Dynamic Electromagnetic Environment

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Multiple-Time-Slot Multiple Access Binary Computation Offloading in the <i>K</i>-User Case

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Resource Allocation for Distributed Multitarget Tracking in Radar Networks With Missing Data

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A Log-Linear Nonparametric Online Changepoint Detection Algorithm Based on Functional Pruning

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Ziv-Zakai Bound for 2D-DOAs Estimation

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Explainable Gated Bayesian Recurrent Neural Network for Non-Markov State Estimation

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Barycenter Calibration with High Order Spectra of Windowed Delay-Doppler Signals for OTFS based ISAC Systems

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Low-Rank Tensor Completion via Novel Sparsity-Inducing Regularizers

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Optimal Bayesian Regression with Vector Autoregressive Data Dependency

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Over-the-Air Multisensor Collaboration for Resource Efficient Joint Detection

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Fast and Robust Sparsity-Aware Block Diagonal Representation

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Sparse Modeling for Spectrometer Based on Band Measurement

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IEEE Transactions on Signal Processing

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最新文章

One-Bit Spectrum Sensing for Cognitive Radio

mPage: Probabilistic Gradient Estimator with Momentum for Non-convex Optimization

Quickest Detection for Human-Sensor Systems Using Quantum Decision Theory

OPIT: A Simple but Effective Method for Sparse Subspace Tracking in High-Dimension and Low-Sample-Size Context

A tensor based varying-coefficient model for multi-modal neuroimaging data analysis

Sequential Joint Detection and Estimation: Optimal Average Stopping Time

On the Sum of Products of Independent Complex Normal Variables: Understanding the Fundamental SNR Gain Limit of MIMO-RIS

Marginalized Beam Search Algorithms for Hierarchical HMMs

Structure-preserving non-linear PCA for matrices

Efficient Singular Spectrum Mode Ensemble for Extracting Wide-Band Components in Overlapping Spectral Environments

Efficient Eigen-Decomposition for Low-Rank Symmetric Matrices in Graph Signal Processing: An Incremental Approach

Behavioral Utility-based Distributed Detection with Conditionally Independent Observations

Sensing Jamming Strategy from Limited Observations: An Imitation Learning Perspective

Transmitter Precoder Design to Improve the Performance of the MUSIC Algorithm

Constructing Indoor Region-based Radio Map without Location Labels

Convex Parameter Estimation of Perturbed Multivariate Generalized Gaussian Distributions

ECCM Strategies for Radar Systems against Smart Noise-like Jammers

DISH: A Distributed Hybrid Optimization Method Leveraging System Heterogeneity

Analog Product Coding for Over-the-Air Aggregation Over Burst-Sparse Interference Multiple-Access Channels

Federated Learning from Heterogeneous Data via Controlled Air Aggregation with Bayesian Estimation

Asymptotics of Distances Between Sample Covariance Matrices

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Detection of Ghost Targets for Automotive Radar in the Presence of Multipath

A Communication-Efficient Algorithm for Federated Multilevel Stochastic Compositional Optimization

Optimization of High-resolution and Ambiguity-free Sparse Planar Array Geometry for Automotive MIMO Radar

Extended Object Tracking Using Aspect Ratio

DoA Estimation for Hybrid Receivers: Full Spatial Coverage and Successive Refinement

Quantized Radio Map Estimation Using Tensor and Deep Generative Models

Projected Gradient Descent for Spectral Compressed Sensing via Symmetric Hankel Factorization

Sensor Network Localization via Riemannian Conjugate Gradient and Rank Reduction

Stability to Deformations of Manifold Filters and Manifold Neural Networks

Near-Field 3D Localization via MIMO Radar: Cramér-Rao Bound Analysis and Estimator Design

HKF: Hierarchical Kalman Filtering with Online Learned Evolution Priors for Adaptive ECG Denoising

Spectral Graph Learning with Core Eigenvectors Prior via Iterative GLASSO and Projection

Ultimately Bounded State Estimation for Nonlinear Networked Systems with Constrained Average Bit Rate: A Buffer-Aided Strategy

Efficient dual-scale generalized Radon-Fourier transform detector family for long time coherent integration

Estimating Resonances in Low-SNR Late-Time Radar Returns with Sampling Jitter

From Global Statistic to Local Statistic: Micro-Doppler Period Estimation Based on Short-Time Similarity Statistic

Multi-dimensional Resource Management Scheme for Multiple Target Tracking under Dynamic Electromagnetic Environment

Multiple-Time-Slot Multiple Access Binary Computation Offloading in the <i>K</i>-User Case

Resource Allocation for Distributed Multitarget Tracking in Radar Networks With Missing Data

A Log-Linear Nonparametric Online Changepoint Detection Algorithm Based on Functional Pruning

Ziv-Zakai Bound for 2D-DOAs Estimation

Explainable Gated Bayesian Recurrent Neural Network for Non-Markov State Estimation

Barycenter Calibration with High Order Spectra of Windowed Delay-Doppler Signals for OTFS based ISAC Systems

Low-Rank Tensor Completion via Novel Sparsity-Inducing Regularizers

Optimal Bayesian Regression with Vector Autoregressive Data Dependency

Over-the-Air Multisensor Collaboration for Resource Efficient Joint Detection

Fast and Robust Sparsity-Aware Block Diagonal Representation

Sparse Modeling for Spectrometer Based on Band Measurement

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