Volterra滤波器的性能分析

发布时间：2022-10-10 11:12

　　At present,China is a leader in the fifth generation communications technology market（5G）.The application of new standards in information transmission systems requires us to work with frequency bands whose frequency is tens of gigahertz.High-frequency communication lines cannot be designed without non-linear filters,it follows that without research in the field of non-linear filtering,it will be impossible to maintain and increase the rate of development of infocommunication systems.In addition ... 

【文章页数】：57 页

【学位级别】：硕士

【文章目录】：
Abstract
1 Introduction
    1.1 Research background and motivation
        1.1.1 Research background
        1.1.2 Research motivation
    1.2 Retrospective
    1.3 Research content and methods
        1.3.1 Analysis of adaptive Volterra filters
        1.3.2 Volterra filters
2 Adaptive filters
    2.1 Adaptive Volterra filter
        2.1.1 P~(th) order Volterra Filter
        2.1.2 Performance measure
        2.1.3 Stationary data model
        2.1.4 Fundamental energy-conservation relation
        2.1.5 Fundamental variance relation
        2.1.6 Mean-square performance of adaptive LMS Volterra filter
        2.1.7 Transient performance
        2.1.8 Weighted energy conservation relation
        2.1.9 Variance relation
        2.1.10 Independence assumption
        2.1.11 Change of coordinates
        2.1.12 Transient performance of Volterra LMS filter
    2.2 Adaptive leaky Volterra filter
        2.2.1 Transient performance of Adaptive leaky Volterra filter
        2.2.2 Steady-state performance of Adaptive leaky Volterra filter
3 Volterra series in system identification problems
    3.1 Black box model
    3.2 Analytical system identification
    3.3 Experimental system identification
4 Conclusion
Bibliography
Letter of Thanks
Research results obtained during the degree study


【参考文献】：
期刊论文
[1]Kernel Estimation of Truncated Volterra Filter Model Based on DFP Technique and Its Application to Chaotic Time Series Prediction[J]. ZHANG Yumei,BAI Shulin,LU Gang,WU Xiaojun.  Chinese Journal of Electronics. 2019(01)



本文编号：3689516