数据科学教育：信号处理视角[SP教育]

IF 9.4 1区工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Signal Processing Magazine Pub Date : 2023-11-08 DOI:10.1109/MSP.2023.3294709

Sharon Gannot;Zheng-Hua Tan;Martin Haardt;Nancy F. Chen;Hoi-To Wai;Ivan Tashev;Walter Kellermann;Justin Dauwels

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引用次数: 0

摘要

在过去的十年里，信号处理（SP）社区见证了从基于模型的方法到数据驱动方法的范式转变。机器学习（ML）——更具体地说，深度学习——方法目前广泛应用于所有SP领域，例如音频、语音、图像、视频、多媒体和多模式/多传感器处理等。许多数据驱动的方法还结合了领域知识来改进问题建模，特别是当计算负担、训练数据稀缺和内存大小是重要约束时。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Data Science Education: The Signal Processing Perspective [SP Education]

In the last decade, the signal processing (SP) community has witnessed a paradigm shift from model-based to data-driven methods. Machine learning (ML)—more specifically, deep learning—methodologies are nowadays widely used in all SP fields, e.g., audio, speech, image, video, multimedia, and multimodal/multisensor processing, to name a few. Many data-driven methods also incorporate domain knowledge to improve problem modeling, especially when computational burden, training data scarceness, and memory size are important constraints.

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来源期刊

IEEE Signal Processing Magazine 工程技术-工程：电子与电气

CiteScore

27.20

自引率

0.70%

发文量

123

审稿时长

6-12 weeks

期刊介绍： EEE Signal Processing Magazine is a publication that focuses on signal processing research and applications. It publishes tutorial-style articles, columns, and forums that cover a wide range of topics related to signal processing. The magazine aims to provide the research, educational, and professional communities with the latest technical developments, issues, and events in the field. It serves as the main communication platform for the society, addressing important matters that concern all members.