2026 10th Asia-Pacific Digital Signal Processing Conference (APDSP 2026)

Conference Highlights

APDSP2026


Notification of Acceptance: 30 January 2026Deadline for Registration: 10 February 2026Deadline for Submission of Final Paper: 10 February 2026
2026 10th Asia-Pacific Digital Signal Processing Conference (APDSP 2026, previous conference title is International Conference on Digital Signal Processing, ICDSP) will be held in Chengdu, China will be held in Chengdu, China during March 28 to 30, 2026. It is Co-sponsored by Southwest Jiaotong University, Xihua University, and Chengdu University of Information Technology, and technically supported by many universities and institutions. It is an annual research conference and the first 3 APDSP conferences were held in Kuala Lumpur, Tokyo, Jeju Island, respectively. And because of the COVID-19 pandemic, APDSP2020-2022 were shifted to a virtual format. APDSP2023 was held in Chengdu, APDSP2024 was held in Hangzhou in hybrid format.News! APDSP2026 will be held during March 28 to 30, 2026. We are looking forward to welcoming you in Chengdu!Good news! APDSP2025 conference proceedings were indexed byEI CompendexandScopus.  (Read more)2026年第10届亚太数字信号处理会议 (APDSP2026, 原会议名: 数字信号处理国际会议ICDSP系列会议) 将于2026å¹´3月28日-30日在成都召开。APDSP2026大会由西南交通大学,西华大学和成都信息工程大学联合主办, 并得到各地高校和机构的技术支持。APDSP系列会议每年按例举行, 前几届分别在国际旅游城市吉隆坡, 东京, 和济州岛举行。APDSP2020-2022大会开启了新型模式, 将疫情中无法出行的世界各地专家学者集合在虚拟平台, 成功举行了在线会议。APDSP2023, APDSP2024大会以线下线上混合会议形式举行, 线下会议分别在成都、杭州举行。大会旨在邀请众多国内外学者及产业研发人员齐聚一堂，共同探讨数字信号处理领域的发展现状及前景。 热忱欢迎相关领域的专家、学者和专业技术人员踊跃投稿并参加大会。自2018å¹´èµ·, APDSP会议系列论文集, 包括 APDSP2018-2024 会议论文集已顺利出版并完成EI 核心 和 Scopus等数据库检索！Digital signal processing (DSP) is the process of analyzing and modifying a signal to optimize or improve its efficiency or performance. It involves applying various mathematical and computational algorithms to analog and digital signals to produce a signal that's of higher quality than the original signal. Digital Signal Processing is used everywhere. DSP is used primarily in arenas of audio signal, speech processing, RADAR, seismology, audio, SONAR, voice recognition, and some financial signals. DSP protects users from the noise without hampering communication, offers infinite opportunities for achieving low power efficiency, makes it possible to convert real-world signals into an environment where scientific and mathematical models are applied resulting in a powerful processing system.In view of this, APDSP Series bring together a wide range of state-of -the-art research works on Digital Signal Processing and also strives to promote excellence in Digital Signal Processing research related to recent challenges. The conference provides a forum for multidisciplinary discussions with the aim of exchanging the research ideas in various aspects of Digital Signal Processing to foster further integration and collaboration among researchers.
Digital signal processing (DSP) is the process of analyzing and modifying a signal to optimize or improve its efficiency or performance. It involves applying various mathematical and computational algorithms to analog and digital signals to produce a signal that's of higher quality than the original signal. Digital Signal Processing is used everywhere. DSP is used primarily in arenas of audio signal, speech processing, RADAR, seismology, audio, SONAR, voice recognition, and some financial signals. DSP protects users from the noise without hampering communication, offers infinite opportunities for achieving low power efficiency, makes it possible to convert real-world signals into an environment where scientific and mathematical models are applied resulting in a powerful processing system.
In view of this, APDSP Series bring together a wide range of state-of -the-art research works on Digital Signal Processing and also strives to promote excellence in Digital Signal Processing research related to recent challenges. The conference provides a forum for multidisciplinary discussions with the aim of exchanging the research ideas in various aspects of Digital Signal Processing to foster further integration and collaboration among researchers.