In this paper, the general normalized least mean square (NLMS) adaptive algorithm was modified to ensure the linear phase of the FIR filter obtained in this way without the gradient noise amplifying.
英
美
- 它用經(jīng)過(guò)改進(jìn)的歸一化最小均方(NLMS)算法來(lái)保證所得結果具有線(xiàn)性相位，且克服了梯度噪聲放大問(wèn)題，同時(shí)也不必選擇步長(cháng)。
