出版信息
投稿信息
期刊简介
Digital Signal Processing: A Review Journal is one of the oldest and most established journals in the field of signal processing yet it aims to be the most innovative. The Journal invites top quality research articles at the frontiers of research in all aspects of signal processing. Our objective is to provide a platform for the publication of ground-breaking research in signal processing with both academic and industrial appeal.The journal has a special emphasis on statistical signal processing methodology such as Bayesian signal processing, and encourages articles on emerging applications of signal processing such as:? big data? machine learning? internet of things? information security? systems biology and computational biology,? financial time series analysis,? autonomous vehicles,? quantum computing,? neuromorphic engineering,? human-computer interaction and intelligent user interfaces,? environmental signal processing,? geophysical signal processing including seismic signal processing,? chemioinformatics and bioinformatics,? audio, visual and performance arts,? disaster management and prevention,? renewable energy,We welcome also submissions in the fundamental areas such as information theory and on mathematical topics with potential applications in signal processing such as functional analysis, stochastic calculus, game theory and group theory. Papers in the classical application areas of signal processing such as telecommunications, speech, image and video processing are welcome only if they contain novel research into methodology.. Purely application oriented articles in these areas should be submitted to the relevant dedicated journalsDigital Signal Processing: A Review Journal also aims to publish quality review articles in addition to occasional focus issues with special emphasis on emerging topics. Discussion articles in which several leading researchers discuss the future of a specific research area are also welcome.
数字信号处理：综述期刊是信号处理领域最古老和最成熟的期刊之一，但其目标是成为最具创新性的期刊。该杂志邀请了在信号处理各方面研究前沿的高质量研究文章。我们的目标是为信号处理领域突破性研究的出版提供一个既具有学术意义又具有工业吸引力的平台。该杂志特别强调统计信号处理方法，如贝叶斯信号处理，并鼓励有关信号处理新兴应用的文章，如：?大数据?机器学习?物联网?信息安全?系统生物学和计算生物学，?金融时间序列分析，?自主车辆，?量子计算，?神经形态工程，?人机交互和智能用户界面，?环境信号处理，?包括地震信号处理在内的地球物理信号处理、化学信息学和生物信息学、音频、视觉和表演艺术、灾害管理和预防、可再生能源，我们也欢迎在基础领域，如信息理论和在信号处理中潜在应用的数学主题，如函数分析，随机微积分，博弈论和群论的提交。在电信、语音、图像和视频处理等信号处理的经典应用领域的论文，只有在包含新的方法学研究的情况下，才受欢迎。这些领域纯应用性文章应提交给相关的专门期刊。数字信号处理：一个评论杂志也旨在发表质量评论文章，除了偶尔的焦点问题，特别强调新兴主题。一些主要研究人员讨论特定研究领域未来的讨论文章也受到欢迎。
征稿信息
影响趋势
相关期刊
服务流程
