Analysis of super-long and sparse feature in pseudo-random sequence based on similarity
Similarity analysis of pseudo-random sequence in wireless communication networks is a research hotspot problem in the domain of information warfare.Based on the difficulties in super-long sequence,extremely sparse feature,and futilities in engineering application for real-time processing exist in si...
Saved in:
Main Authors: | Chun-jie CAO, Jing-zhang SUN, Zhi-qiang ZHANG, Long-juan WANG, Meng-xing HUANG |
---|---|
Format: | Article |
Language: | zho |
Published: |
Editorial Department of Journal on Communications
2016-10-01
|
Series: | Tongxin xuebao |
Subjects: | |
Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016243/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Method to generate the pseudo random sequence based on the statistical properties
by: Sen BAI, et al.
Published: (2017-01-01) -
Sparse Linear Discriminant Analysis With Constant Between-Class Distance for Feature Selection
by: Shuangle Guo, et al.
Published: (2025-01-01) -
Gear Fault Diagnosis based on Feature Fusion and Sparse Representation
by: Wang Jiangping, et al.
Published: (2017-01-01) -
Exploring New Dimensions of Archives: Finding Audiovisually Similar Programmes with the Help of Neural Networks
by: Sara Veldhoen, et al.
Published: (2024-12-01) -
An adjoint feature-selection-based evolutionary algorithm for sparse large-scale multiobjective optimization
by: Panpan Zhang, et al.
Published: (2025-01-01)