SCI SCIE
IET Signal Processing 期刊简介
IET Signal Processing
英文简介:

IET Signal Processing publishes research on a diverse range of signal processing and machine learning topics, covering a variety of applications, disciplines, modalities, and techniques in detection, estimation, inference, and classification problems. The research published includes advances in algorithm design for the analysis of single and high-multi-dimensional data, sparsity, linear and non-linear systems, recursive and non-recursive digital filters and multi-rate filter banks, as well a range of topics that span from sensor array processing, deep convolutional neural network based approaches to the application of chaos theory, and far more.

Topics covered by scope include, but are not limited to:

advances in single and multi-dimensional filter design and implementation
linear and nonlinear, fixed and adaptive digital filters and multirate filter banks
statistical signal processing techniques and analysis
classical, parametric and higher order spectral analysis
signal transformation and compression techniques, including time-frequency analysis
system modelling and adaptive identification techniques
machine learning based approaches to signal processing
Bayesian methods for signal processing, including Monte-Carlo Markov-chain and particle filtering techniques
theory and application of blind and semi-blind signal separation techniques
signal processing techniques for analysis, enhancement, coding, synthesis and recognition of speech signals
direction-finding and beamforming techniques for audio and electromagnetic signals
analysis techniques for biomedical signals
baseband signal processing techniques for transmission and reception of communication signals
signal processing techniques for data hiding and audio watermarking
sparse signal processing and compressive sensing

Special Issue Call for Papers:
Intelligent Deep Fuzzy Model for Signal Processing - https://digital-library.theiet.org/files/IET_SPR_CFP_IDFMSP.pdf

中文简介:(来自Google、百度翻译)

IET信号处理发布了有关信号处理和机器学习主题的各种研究,涵盖了检测,估计,推断和分类问题中的各种应用,学科,模式和技术。发表的研究包括用于分析单维和多维数据,稀疏性,线性和非线性系统,递归和非递归数字滤波器和多速率滤波器组的算法设计进展,以及一系列涉及传感器阵列处理的主题,基于深度卷积神经网络的混沌理论应用方法,以及更多。
范围涵盖的主题包括但不限于:
单维和多维滤波器设计与实现的进展
线性和非线性,固定和自适应数字滤波器和多速率滤波器组
统计信号处理技术和分析
经典,参数和高阶频谱分析
信号变换和压缩技术,包括时频分析
系统建模和自适应识别技术
基于机器学习的信号处理方法
用于信号处理的贝叶斯方法,包括蒙特卡罗马尔可夫链和粒子滤波技术
盲和半盲信号分离技术的理论和应用
信号处理技术的分析、增强、编码、语音信号的合成与识别
音频和电磁信号的测向和波束形成技术
生物医学信号的分析技术
通信信号传输和接收的基带信号处理技术
数据隐藏和音频水印的信号处理技术
稀疏信号处理和压缩感应
特刊征文:
用于信号处理的智能深度模糊模型-https:// digital-library.theiet.org/files/IET_SPR_CFP_IDFMSP.pdf

期刊ISSN
1751-9675
影响指数
1.474
最新CiteScore值
4.20 查看CiteScore评价数据
最新自引率
4.60%
期刊官方网址
https://onlinelibrary.wiley.com/journal/17519683
期刊投稿网址
https://mc.manuscriptcentral.com/theiet-spr
通讯地址
WILEY, 111 RIVER ST, HOBOKEN, USA, NJ, 07030-5774
偏重的研究方向(学科)
工程技术-工程:电子与电气
出版周期
Bi-monthly
出版年份
2007
出版国家/地区
ENGLAND
是否OA
Yes
SCI期刊coverage
Science Citation Index Expanded(科学引文索引扩展)
NCBI查询
PubMed Central (PMC)链接 全文检索(pubmed central)
IET Signal Processing 期刊中科院JCR 评价数据
最新中科院JCR分区
大类(学科)
小类(学科)
综述期刊
工程技术
ENGINEERING, ELECTRICAL & ELECTRONIC(工程:电子与电气)4区
最新的影响因子
1.474
最新公布的期刊年发文量
年度总发文量 研究类文章占比
71 91.55%
总被引频次 35
影响因子趋势图
近年的影响因子趋势图(整体平稳趋势)
IET Signal Processing 期刊CiteScore评价数据
最新CiteScore值
4.20
年文章数 71
SJR
0.384
SNIP
0.911
CiteScore排名
序号 类别(学科) 排名 百分位
1 Engineering Electrical and Electronic Engineering #212/693
2 Engineering Signal Processing #38/108
CiteScore趋势图
CiteScore趋势图
IET Signal Processing 投稿经验(由下方点评分析获得,10人参与,1284人阅读)
投稿录用比例: 容易
审稿速度: 约9.0个月
分享者 点评内容
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