Hydrogenated microcrystalline silicon （μc-Si：H） intrinsic films and solar cells are prepared by plasma enhanced chemical vapor deposition （PECVD） with various hydrogen dilution ratios. The influence of hydrogen dilution ratios on electrical characteristics is investigated to study the phase transition from amorphous to microcrystalline silicon. During the deposition process,the optical emission spectroscopy （OES） from plasma is recorded and compared with the Raman spectra of the films,by which the microstructure evolution of different 1-12 dilution ratios and its influence on the performance of μc-Si： H n-i-p solar cells is investigated.
为了更快地实现主动降噪,设计了噪音多项式拟合模型,提出了改进的变步长滤波最小均方算法(Improved Filtered-x Least Mean Square,IFxLMS)。该算法在统计噪音信号的同时,对噪音信号进行拟合与预测,随后结合误差信号与预测信号对步长进行调节,达到快速调节的目的。为了验证该算法的性能,将该算法与传统变步长滤波最小均方算法对比试验,仿真结果显示,在相同噪音条件下,新算法将噪音信号降到10 dB、20 dB、30 dB、35 dB等信噪比时,所需的迭代次数减少了4次~60次不等,在同时新算法的鲁棒性也优于普通的滤波变步长最小均方算法。
