电子测试
電子測試
전자측시
ELECTRONIC TEST
2012年
11期
11-17
,共7页
小波变换%模极大值%多层次%自适应阀值%多项式插值
小波變換%模極大值%多層次%自適應閥值%多項式插值
소파변환%모겁대치%다층차%자괄응벌치%다항식삽치
wavelet transform%modulus maximum%multilayer%adaptive threshold%polynomial interpolation
小波模极大值去噪方法具有很好的理论基础,却在应用上存在许多影响去噪性能的因素,如最优分解尺度选择、收缩阈值估计、模极大值线搜索及重构算法的效率和精度。在经典Mallat模极大值去噪算法的基础上,提出多层次模极大值降噪算法,设定分解尺度的最优选择范围,并利用改进的自适应阈值估计对模极大值序列进行预处理及利用多项式插值对模极大值序列进行快速重构。Maltab仿真结果表明多层次模极大值降噪算法具有良好的去噪性能,有效解决模极大值去噪方法在实际应用中面临的问题。
小波模極大值去譟方法具有很好的理論基礎,卻在應用上存在許多影響去譟性能的因素,如最優分解呎度選擇、收縮閾值估計、模極大值線搜索及重構算法的效率和精度。在經典Mallat模極大值去譟算法的基礎上,提齣多層次模極大值降譟算法,設定分解呎度的最優選擇範圍,併利用改進的自適應閾值估計對模極大值序列進行預處理及利用多項式插值對模極大值序列進行快速重構。Maltab倣真結果錶明多層次模極大值降譟算法具有良好的去譟性能,有效解決模極大值去譟方法在實際應用中麵臨的問題。
소파모겁대치거조방법구유흔호적이론기출,각재응용상존재허다영향거조성능적인소,여최우분해척도선택、수축역치고계、모겁대치선수색급중구산법적효솔화정도。재경전Mallat모겁대치거조산법적기출상,제출다층차모겁대치강조산법,설정분해척도적최우선택범위,병이용개진적자괄응역치고계대모겁대치서렬진행예처리급이용다항식삽치대모겁대치서렬진행쾌속중구。Maltab방진결과표명다층차모겁대치강조산법구유량호적거조성능,유효해결모겁대치거조방법재실제응용중면림적문제。
Wavelet modulus maximum denoising method has a superior property; while, the denoising performance is influenced by many factors when applied it in realistic environment, such as the optimal decomposition scale selection, shrinkage threshold estimate, modulus maximum line search and the efficiency and precision of reconstruction algorithm. On the basis of classic Mallat modulus maxima denoising algorithm the multilayer modulus maximum noise reduction algorithm is derived, in which the single select of the optimal decomposition scale is replaced by a range select. Also, the modulus maximum series are preprocessed by the improved threshold estimation, then the modulus maximum series are fast reconstructed by the polynomial interpolation. Finally the numerical results are presented by Matlab simulation strategy, and the result shows that multilayer modulus maximum noise reduction algorithm has a superior denoising performance and effectively resolves problems of the modulus maximum denoising faced in practical application.
