情感分类算法设计研究毕业设计论文+答辩PPT

情感分类算法设计研究

摘要动态信号分析仪是一种主要应用在噪声、振动分析、模型分析、电子设计和声学测试的工具，情感分类测试和情感分类谱分析是确定设备在经受外力冲撞或作用时的安全性、可靠性和有效性的实验方法，也是动态信号分析仪的一项重要功能。情感分类测试采样数据往往会受到来自环境中的各种噪声干扰，有必要对其进行滤波以更好地分析其真实的情感分类谱特性。本文中主要研究了一些应用于情感分类测试数据滤波的常用滤波算法如中位值法、算术平均法、中位值平均法、限幅法、限速法、一阶滞后法、低通法等。MATLAB是用于算法开发、数据可视化、数据分析以及数值计算的高级技术计算语言和交互式环境。本文在MATLAB环境下实现各常用数字滤波算法并讨论了各滤波算法的特点及其选用原则。针对情感分类测试仪采样数据的噪声干扰特点，挑选出合适的算法对情感分类测试采样数据进行滤波，分析比较各滤波算法的实际滤波效果并且进行相关优化以实现更优的滤波效果。论文的主要内容：第一章、绪论主要介绍了有关动态信号分析仪的课题背景、国内外发展情况，课题的研究意义及创新点等。第二章、介绍了数字滤波的基本原理、常用滤波算法分类与特点、频谱分析基本原理和环境噪声的相关知识。第三章、主要介绍各滤波算法的参数选择和具体设计流程，并对各算法的滤波效果进行分析比较。第四章、对情感分类测试常用滤波算法实现和滤波效果的分析总结及前景展望。

关键词：数字信号处理、数字滤波、滤波算法、MATLAB

ABSTRACTDynamic signal analyzer is a tool mainly applied in noise, vibration analysis, model analysis, electronic design and acoustic test. Impact test and impact spectrum analysis are experimental methods that examine the safety, reliability and validity of the equipment under external force impact. Impact test sample data often suffers from all kinds of noises in the environment, it is necessary to filter the data for   better and real impact spectrum characteristics.In this paper, we mainly study commonly used digital filtering algorithm such as median value method, the arithmetic average method, weighted average method, clipping method, limited speed method, and low pass method and so on. MATLAB is a computing language and interactive environment for senior technical computing algorithm development, data visualization, data analysis and numerical analysis.Using MATLAB, we simulate the commonly used digital filtering algorithms and discuss the characteristics and selection principles of the algorithms. According to the characteristics of noise of the data sampling impact tester, a suitable algorithm it is selected, analyzed, justified to achieve better filtering effect.The reminder of the thesis is as follows:Chapter one introduces the project background, the development of the dynamic signal analyzer domestic and abroad, the research significance and innovations etc.Chapter two includes the basic principle of digital filtering, classification and characteristics of filtering algorithm commonly used, basic principle of spectrum analysis and the relevant knowledge of environmental noise.Chapter three is the design and effect analysis of digital filtering algorithm in details.The last chapter is the conclusion of the design and effect analysis of impact test filtering algorithms.

Keywords: Digital signal processing; Digital filtering; Filtering algorithm; MATLAB

目录摘要 1ABSTRACT 2第一章 绪论 31.1课题背景 41.2国内外相关领域的研究 41.3主要研究内容与创新 51.3.1研究内容与意义 51.3.2课题的创新点 51.3.3 研究目的与技术指标 6第二章 数字滤波基础 72.1数字滤波算法概念 72.2数据采样与频谱分析原理 82.2.1 时域抽样定理[11] 82.2.2 离散傅立叶变换(DFT)[12] 82.2.3 快速傅立叶变换(FFT)[13] 92.2.4 频谱分析原理[14] 92.3常用数字滤波算法基础 102.3.1常用数字滤波算法分类 102.3.2常用数字滤波算法特点 102.3.3常用滤波算法相关原理 122.4 情感分类测试采样数据 162.4.1噪声的特点与分类 162.4.2情感分类测试采样数据特点 172.5 MATLAB简介 172.5.1 MATLAB功能简介 172.5.2 MATLAB的发展 18第三章、情感分类测试滤波算法设计及滤波效果分析 203.1 情感分类测试采样数据的分析 203.2  滤波算法设计及效果分析 213.2.1 中位值平均法的设计 213.2.2限幅法和限速法的设计 233.2.3一阶滞后法的设计 253.2.4低通法的设计 26第四章 结论与展望 344.1情感分类测试的滤波算法总结 344.2情感分类测试的滤波算法展望 34致 谢 36参考文献 37附录：程序代码清单 38