Polynomial prediction using incomplete data

被引：8
|
作者：
Harju, PT
机构：
[1] Laboratory of Telecommunications Technology, Helsinki University of Technology
来源：
IEEE TRANSACTIONS ON SIGNAL PROCESSING | 1997年 / 45卷 / 03期
关键词：
D O I：
10.1109/78.558500
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
We derive an FIR polynomial predictor for data in which some samples are missing. The method is compared with a computationally lighter algorithm that is based on decision-driven recursion. Both schemes are found to perform almost identically well on predicting a sinusoidal signal corrupted by both impulsive and Gaussian noise.
引用
收藏
页码：768 / 770
页数：3
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