CAJ | 학술논문

传统的频域自调整算法直接对频谱进行运算，不利于对信号的噪声分离。该文在频域采用对数功率谱表示保证了功率谱的正值特性且易于实现带遗忘因子平滑算法，并针对算法的收敛速度与收敛精度之间的矛盾，提出一种变遗忘因子的自调整算法，推导了算法的收敛条件，在此基础上设计了遗忘因子按响应谱取指数平均的自调整方法及相应的迭代算法。仿真验证了文中设计的优化谱均衡算法较传统的均衡算法时间上降低了近50％，稳态误差减小了约90％。
전통적빈역자조정산법직접대빈보진행운산，불리우대신호적조성분리。해문재빈역채용대수공솔보표시보증료공솔보적정치특성차역우실현대유망인자평활산법，병침대산법적수렴속도여수렴정도지간적모순，제출일충변유망인자적자조정산법，추도료산법적수렴조건，재차기출상설계료유망인자안향응보취지수평균적자조정방법급상응적질대산법。방진험증료문중설계적우화보균형산법교전통적균형산법시간상강저료근50％，은태오차감소료약90％。
Traditional frequency self-adjusting algorithm calculates the frequency spectrum directly, which will affect the noise extraction of the signal.Logarithm power spectrum is used to guarantee the positive-value characteristic of the power spectrum,and make the smoothing algorithm with forgetting fac-tor easier to implement.To solve the contradiction between convergence speed and convergence precision of the fixed forgetting factor,a self-adjusting method with varied forgetting factor is proposed.The conver-gence condition is also deduced.The iteration algorithm whose forgetting factor is the exponential mean value of the response spectrum is designed.Simulation results show that the proposed spectrum equaliza-tion algorithm reduces the calculation time by 50%,the steady-state error by 90%,comparing to un-op-timized algorithm.