New normalized LMS adaptive filter with a variable regularization factor

• 作 者: LI Zhoufan LI Dan XU Xinlong Z
• 机 构: SchoolofInformationScienceandTechnology
• 出 处: 系统工程与电子技术:英文版
• 发表日期: 2019年2期
• 关键词: adaptive FILTERING normalized least mean square (NLMS) minimum-disturbance (MD)
• 基金项目: the National Natural Science Foundation of China (61571131,11604055).

A new normalized least mean square(NLMS) adaptive filter is first derived from a cost function, which incorporates the conventional one of the NLMS with a minimum-disturbance(MD)constraint. A variable regularization factor(RF) is then employed to control