@inbook{c9b359c496954756adc428c7c2f901a9,
title = "Fundamentals of Microphone Array Processing",
abstract = "After a brief but insightful discussion on the limitations of single microphone processing and the unquestionable advantages of spatial information, in this chapter, we make a concise overview of the most fundamental concepts in microphone array processing. We start with the signal model by considering the general case of three-dimensional arrays. In this context, we explain how to conduct linear beamforming, from which very useful performance measures are derived. Then, a large family of fixed and adaptive beamformers are proposed as well as some signal statistics estimators. Finally, we explain how different array geometries can be compared.",
keywords = "Adaptive beamformer, Beamforming, Beampattern, Directivity factor, Fixed beamformer, Three-dimensional (3-D) sensor arrays, White noise gain",
author = "Jacob Benesty and Gongping Huang and Jingdong Chen and Ningning Pan",
note = "Publisher Copyright: {\textcopyright} 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.",
year = "2024",
doi = "10.1007/978-3-031-36974-2_3",
language = "英语",
series = "Springer Topics in Signal Processing",
publisher = "Springer Science and Business Media B.V.",
pages = "25--56",
booktitle = "Springer Topics in Signal Processing",
}