摘要鸟鸣声的研究对于行为学和分类学都具有重要意义，但该领域研究不应该只依靠生物学家来探索，本课题为鸟鸣声的研究提供观测手段、监测和录音设备、分析方法。麦克风阵列采集系统是一种新型的声频拾取设备，可作为未来建立能够实时监测更广泛地域的声测传感网系统的智能传感节点。为了使麦克风阵列智能声测节点能够更好地提供鸟鸣声的录音、分析方法，首先需要了解鸟鸣的特征。通过校园内采集的鸟鸣声数据来分析麻雀、灰喜鹊鸣声的主要特点，总结其时频特征，并对采集到的信号进行切割和分类，为进一步探索不同鸟鸣声所表达的不同生物学意义奠定基础。同时，根据数据分析结果改进麦克风阵列采集系统，使之更适用于鸟鸣声的采集。鉴于目前校园环境嘈杂，采集到的数据的信噪比过低，不利于下面对数据的分析，因而我们选择了红山动物园作为数据采集的另一地点。63785

毕业论文关键词  麦克风阵列   鸟鸣声   数据采集   数据分析

毕业设计说明书（论文）外文摘要

Title       The collection and analysis of the call of common birds in the campus             

Abstract Birds’ call studies is an interdisciplinary field of study should not rely solely on the biologists to explore. The object of this papert is to provide observation experience, recording equipment and analytical methods for the study of birds’ call. Microphone arry data acquisition system is a new type of voice pick-up device can be used as intelligent sensor node in the acoustic sensor network, which can be established in the future to realize real-time monitoring of a wider range of areas. In order to make intelligent microphone array node to provide better acoustic recording and  analytical methods, we first need to understand the characteristics of birds’ call. Collecting the call of birds in the campus, analysising the main features of passer montanus’ call and cyanopica cyana’s call, then the time domain features and frequency domain features will be summarized. The call of birds is cutted and classify by features to future explore the different biological significance of birds’ call. According to the results of data analysis, the microphone array acquisition system will be improved, making it more suitable for the collection of birds’ call.We go to Hongshan Zoo to collect data because of the nosiy environment in the campus and the too low  SNR of the collected data.

Keywords  Microphone arry   Call   Data Collection   Data analysis

1  绪论 1

1．1  鸟鸣声研究的意义 1

1．2  课题研究目的 2

1．3  论文主要工作 3

2  鸟鸣声研究的相关理论基础 3

2．1  鸟类鸣叫机理 3

2．2  麻雀、灰喜鹊的习性及鸣声特点 4

3  麻雀、灰喜鹊的鸣声采集 6

3．1  麦克风阵列采集系统 6

3．2  鸟鸣声采集过程 8

3．3  鸟鸣声采集方案 9

4  麻雀、灰喜鹊鸣声分析 13

4．1  麻雀、灰喜鹊鸣声的频域分析 13

4．2  滤波前后鸣声时域波形对比