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.

數字信號處理：綜述期刊是信號處理領域最古老和最成熟的期刊之一，但其目標是成為最具創新性的期刊。該雜志邀請了在信號處理各方面研究前沿的高質量研究文章。我們的目標是為信號處理領域突破性研究的出版提供一個既具有學術意義又具有工業吸引力的平臺。該雜志特別強調統計信號處理方法，如貝葉斯信號處理，并鼓勵有關信號處理新興應用的文章，如：?大數據?機器學習?物聯網?信息安全?系統生物學和計算生物學，?金融時間序列分析，?自主車輛，?量子計算，?神經形態工程，?人機交互和智能用戶界面，?環境信號處理，?包括地震信號處理在內的地球物理信號處理、化學信息學和生物信息學、音頻、視覺和表演藝術、災害管理和預防、可再生能源，我們也歡迎在基礎領域，如信息理論和在信號處理中潛在應用的數學主題，如函數分析，隨機微積分，博弈論和群論的提交。在電信、語音、圖像和視頻處理等信號處理的經典應用領域的論文，只有在包含新的方法學研究的情況下，才受歡迎。這些領域純應用性文章應提交給相關的專門期刊。數字信號處理：一個評論雜志也旨在發表質量評論文章，除了偶爾的焦點問題，特別強調新興主題。一些主要研究人員討論特定研究領域未來的討論文章也受到歡迎。