期刊名：Signals

期刊主页：https://www.mdpi.com/journal/signals

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1.

Development of an Integrated System of sEMG Signal Acquisition, Processing, and Analysis with AI Techniques

基于 AI 技术的表面肌电信号采集、处理与分析一体化系统研制

https://www.mdpi.com/2624-6120/5/3/25

Laganà, F.; Pratticò, D.; Angiulli, G.; Oliva, G.; Pullano, S.A.; Versaci, M.; La Foresta, F. Development of an Integrated System of sEMG Signal Acquisition, Processing, and Analysis with AI Techniques. Signals 2024, 5, 476-493. https://doi.org/10.3390/signals5030025

2.

Learning with Errors: A Lattice-Based Keystone of Post-Quantum Cryptography

带误差学习：后量子密码学中基于格的关键技术

https://www.mdpi.com/2624-6120/5/2/12

Sabani, M.E.; Savvas, I.K.; Garani, G. Learning with Errors: A Lattice-Based Keystone of Post-Quantum Cryptography. Signals 2024, 5, 216-243. https://doi.org/10.3390/signals5020012

3.

Infrared Thermographic Signal Analysis of Bioactive Edible Oils Using CNNs for Quality Assessment

基于卷积神经网络的生物活性食用油脂红外热成像信号分析与品质评价

https://www.mdpi.com/2624-6120/6/3/38

Pratticò, D.; Laganà, F. Infrared Thermographic Signal Analysis of Bioactive Edible Oils Using CNNs for Quality Assessment. Signals 2025, 6, 38. https://doi.org/10.3390/signals6030038

4.

EEG Data Analysis Techniques for Precision Removal and Enhanced Alzheimer’s Diagnosis: Focusing on Fuzzy and Intuitionistic Fuzzy Logic Techniques

面向精准去噪与阿尔茨海默病增强诊断的脑电数据分析技术 —— 聚焦模糊逻辑与直觉模糊逻辑方法术语对照

https://www.mdpi.com/2624-6120/5/2/18

Versaci, M.; La Foresta, F. EEG Data Analysis Techniques for Precision Removal and Enhanced Alzheimer’s Diagnosis: Focusing on Fuzzy and Intuitionistic Fuzzy Logic Techniques. Signals 2024, 5, 343-381. https://doi.org/10.3390/signals5020018

5.

EEG-TCNTransformer: A Temporal Convolutional Transformer for Motor Imagery Brain–Computer Interfaces

EEGTCNTransformer：面向运动想象脑机接口的时序卷积 Transformer 模型

https://www.mdpi.com/2624-6120/5/3/34

Nguyen, A.H.P.; Oyefisayo, O.; Pfeffer, M.A.; Ling, S.H. EEG-TCNTransformer: A Temporal Convolutional Transformer for Motor Imagery Brain–Computer Interfaces. Signals 2024, 5, 605-632. https://doi.org/10.3390/signals5030034

6.

Comparative Analysis of Statistical, Time–Frequency, and SVM Techniques for Change Detection in Nonlinear Biomedical Signals

非线性生物医学信号变化检测中统计、时频及支持向量机技术的对比分析

https://www.mdpi.com/2624-6120/5/4/41

Azizi, T. Comparative Analysis of Statistical, Time–Frequency, and SVM Techniques for Change Detection in Nonlinear Biomedical Signals. Signals 2024, 5, 736-755. https://doi.org/10.3390/signals5040041

7.

Large Language Model-Informed X-ray Photoelectron Spectroscopy Data Analysis

基于大语言模型辅助的 X 射线光电子能谱数据分析

https://www.mdpi.com/2624-6120/5/2/10

de Curtò, J.; de Zarzà, I.; Roig, G.; Calafate, C.T. Large Language Model-Informed X-ray Photoelectron Spectroscopy Data Analysis. Signals 2024, 5, 181-201. https://doi.org/10.3390/signals5020010

8.

Investigation of LASSO Regression Method as a Correction Measurements’ Factor for Low-Cost Air Quality Sensors

LASSO 回归法作为低成本空气质量传感器测量校正因子的研究

https://www.mdpi.com/2624-6120/5/1/4

Christakis, I.; Sarri, E.; Tsakiridis, O.; Stavrakas, I. Investigation of LASSO Regression Method as a Correction Measurements’ Factor for Low-Cost Air Quality Sensors. Signals 2024, 5, 60-86. https://doi.org/10.3390/signals5010004

9.

Neuromuscular Control in Incline and Decline Treadmill Running: Insights into Movement Synergies for Training and Rehabilitation

上坡与下坡跑步机跑步中的神经肌肉控制：面向训练与康复的运动协同机制研究

https://www.mdpi.com/2624-6120/6/1/2

Promsri, A. Neuromuscular Control in Incline and Decline Treadmill Running: Insights into Movement Synergies for Training and Rehabilitation. Signals 2025, 6, 2. https://doi.org/10.3390/signals6010002

10.

Entropy and Statistical Complexity in Bioelectrical Signals: A Literature Review

生物电信号中的熵与统计复杂度：文献综述

https://www.mdpi.com/2624-6120/6/1/7

Gómez Acosta, L.G.; Chacón Pacheco, M. Entropy and Statistical Complexity in Bioelectrical Signals: A Literature Review. Signals 2025, 6, 7. https://doi.org/10.3390/signals6010007

期刊简介

主编：Santiago Marco, University of Barcelona, Spain; Institute for Bioengineering of Catalonia, Spain

期刊专注于信号工程及其应用的最新研究进展。期刊主题包括但不限于：信号处理中的理论、算法和方法；统计信号处理；用于信号处理的机器学习；自适应滤波器和信号增强；图像和视频处理；通信系统的信号处理；语音、声学和音乐中的信号处理；信号处理在生物医学中的应用；雷达、激光雷达和声纳等。

2024 Impact Factor：2.6

2024 CiteScore：4.6

Time to First Decision：21.8 Days

Acceptance to Publication：8.9 Days