助力国内外作者成功发表NatureScience等国际顶尖期刊!

投稿难?全流程投稿协助,直达Accept!

CSSCICSCD北大统计源知网万方维普

专注期刊投稿咨询

多年服务铸就口碑期刊服务信赖之选
免费咨询

大类学科: 不限 医学 生物 物理 化学 农林科学 数学 地学天文 地学 环境科学与生态学 综合性期刊 管理科学 社会科学 查看全部热门领域

中科院分区: 不限 1区 2区 3区 4区

期刊收录: 不限 SCI SCIE

IET Signal Processing

SCI期刊查询网 更新时间:2026-04-01 20:04:52
IET Signal Processing封面

简称:IET SIGNAL PROCESS

ISSN:1751-9675

ESSN:1751-9675

所属分区:4区

出版地:ENGLAND

出版周期:Bi-monthly

创刊时间:2007

研究方向:工程技术-工程:电子与电气

易录用期刊推荐+论文格式模板+论文快速过审指导

填写需求
联系方式
PS:专业学术顾问会及时联系解答。

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

IF值(影响因子)趋势图