## MATLAB改进的自适应时频峰值滤波算法实现

Title Improved Adaptive Time-Frequency Peak Filtering algorithm
Abstract
Time-frequency peak filtering is a new method to solve non-stationary signals in time-frequency analysis. For the time varying signal , the tradition analysis methods like time domain or frequency domain can not fully reflect the characteristics of the signal, but the time-frequency distribution form provides an effective means to study the non-stationary signals . This paper studies the adaptive time-frequency peak filtering algorithms and applications in the time-frequency analysis.

First,this paper based on the introduction of the time-frequence analysis, describes the basic theory of several commonly used time-frequence distributions ,like the short-time Fourier transform and the Wigner-Ville distribution.After that, this paper focuses on introducing time-frequency peak filtering.Considering to achieve adaptation of the window length when the signals are different,this paper describes the improvement of window length selections.It is based on the sliding pair-wise intersection
of confidence intervals(SPICI).Based on the above analysis, this paper uses MATLAB to analyze the performance of the improved algorithm. Through simulation results, for non-stationary signals, the algorithm has good performance because of its good denoising effects, and the reduction the mean square error.So it has broad application prospects.
Keywords  Time-frequency analysis  TFPF  adaptive  SPICI  WVD

目 次
1 绪论    1
1.1  课题研究的背景和意义    1
1.2  国内外研究现状    2
1.3  本文研究的内容和组织安排    4
2  时频分析与时频峰值滤波    5
2.1  时频分析    5
2.2  Wigner-Ville分布    7
2.3  时频峰值滤波算法原理    13
2.4    本章小结    15
3  自适应时频峰值滤波算法原理及改进算法    16
3.1  自适应时频峰值滤波算法原理    16
3.2  自适应时频峰值滤波算法的实现    18
3.3  改进的自适应时频峰值滤波算法原理    20
3.4  本章小结    23 源自/六^维:论"文;网(加7位QQ3249~114 www.lwfree.cn
4  算法实现及仿真实验    24
4.1  算法实现步骤    24
4.2  算法仿真实验    25
4.3  本章小结    32
5  全文总结和展望    33
5.1  全文总结    33 MATLAB改进的自适应时频峰值滤波算法实现:http://www.lwfree.cn/tongxin/20180317/11312.html
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