APSCOM 2018

2022 6th International Conference on Digital Signal Processing (ICDSP 2022) will be held in Chengdu, China during February 25-27, 2022 together with its workshop ICCGV2022 (www.iccgv.org). It is Co-sponsored by Southwest Jiaotong University, China and Association for Computing Machinery (ACM), and technically supported by many universities and institutions. It is an annual research conference and the past 3 ICDSP conferences were held in Kuala Lumpur, Tokyo, Jeju Island, respectively. And ICDSP2020, ICDSP2021 were shifted to a virtual format in an innovative way because of the COVID-19 pandemic.

第六届数字信号处理国际会议将于2022年2月25-27日在中国.四川.成都召开。ICDSP2022大会由西南交通大学与美国计算机协会(ACM)联合主办, 并得到各地高校和机构的技术支持。ICDSP系列会议每年按例举行, 往届分别在国际旅游城市吉隆坡, 东京, 和济州岛举行。ICDSP2020, ICDSP2021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。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。

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, ICDSP Series bring together a wide range of state-of 鈥搕he-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.