基于小波变换的生物医学信号处理(任务书,开题报告,论文15800字)
摘要
数字信号处理是现代信号处理领域比较热门的一个研究方向，作为数字信号领域的一个重要组成部分，生物医学信号处理也越来越受到研究者们的重视，并且生物医学信号与我们的生活的关系也越来越密切。小波变换作为一种新兴的快速发展起来的信号分析方法，其在各领域的应用也越来越广泛，尤其是小波变换的分析方式与生物医学信号的信号特点有着较好的契合度，所以将小波变换与生物医学信号处理联系在一起是一项较为突破性的应用。
本文就生物医学信号的产生、收集、特点及其处理方法、小波变换的基本原理进行了基本介绍；主要研究了小波变换在生物医学信号处理上的应用特点以及小波变换与传统分析方式相比的优劣势。
研究结果表明：生物医学信号的传统分析（傅里叶变换）方法在分析信号的特征部分以及细节部分上存在明显的缺陷；而小波变换能够将信号中不同频段的成分分解出来，较好的凸显出信号的瞬变特征以及细节特点。对比传统分析方法和小波变换分析的结果能够发现小波变换更适合含有丰富信号特征和细节的信号的分析处理。
本文特色：本文在理论基础上采用MATLAB仿真软件对信号进行了模拟仿真，能够较为直观的从仿真结果中观察出小波变换的处理特点，也能够观察对比不同小波的处理结果进而找到较好的处理小波。
关键词：生物医学信号；生物医学信号处理；小波变换；MATLAB。
Abstract
Digital signal processing (DSP) is a popular research direction in the field of signal processing, as an important part of digital signal in the field of biomedical signal processing is also more and more get the attention of the researchers, and biomedical signal and our life is becoming more and more closely. As a wavelet transform signal analysis methods of quickly developing, its application is becoming more and more widely in various fields, especially the analysis of the wavelet transform method and signal characteristics of biomedical signal has a better fit, so wavelet transform associated with biomedical signal processing is a breakthrough of the application.
In this paper, the basic principles of the generation, collection, characteristics, processing methods and wavelet transform of biomedical signals are introduced. This paper mainly studies the application characteristics of wavelet transform in biomedical signal processing and its advantages and disadvantages compared with traditional analysis methods.
The results show that the traditional analysis of biomedical signals (Fourier transform) method based on the analysis of features of signal part and detail part has obvious flaw defects, wavelet transform can decompose the signals of different frequency components, good highlights the transient characteristics of the signal and details. Compared with the traditional analysis method and wavelet transform analysis, the wavelet transform is more suitable for the analysis and processing of signals with rich signal characteristics and details.
This article features: in this paper, based on the theory of the signals by MATLAB simulation software simulation, can be observed in a more intuitive from the simulation results out of the processing characteristics of wavelet transform, can also look for comparing the different wavelet processing and then find a better deal with wavelet.
Key Word：Biomedical signals; biomedical signal processing; wavelet transform; MATLAB.
目录
第1章绪论 1
1.1课题研究的背景、目的和意义 1
1.2国内外研究现状 1
1.3课题研究内容、预期目标 1
第2章生物医学信号及其处理方法 3
2.1生物医学信号的产生 3
2.2生物医学信号的特点 3
2.3生物医学信号的采集 4
2.4生物医学信号的处理方法 5
第3章小波变换理论 6
3.1从傅里叶变换到小波变换 6
3.2小波变换的基本原理 6
3.3 小波变换的分类及其应用 8
第4章基于小波变换的生物医学信号处理的MATLAB仿真 11
4.1生物医学信号的基本处理流程 11
4.2MATLAB软件的介绍 12
4.3函数分析法仿真及分析 12
4.4 GUI图形界面操作法仿真及分析 27
第5章结论 40
参考文献 42
致谢 43
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