A Novel Hybrid Cuckoo Search- Extreme Learning Machine Approach for Modulation Classification
This paper presents a novel hybrid extreme learning machine (ELM) with cuckoo search algorithm (CSA) for the classification purposes of the digitally modulated signals, such as phase shift keying (PSK), frequency shift keying (FSK), and quadrature amplitude modulation (QAM). Nine modulation schemes...
Main Authors: | Syed Ihtesham Hussain Shah, Sheraz Alam, Sajjad A. Ghauri, Asad Hussain, Faraz Ahmed Ansari |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8754798/ |
Similar Items
-
Prediction of the Height of Fractured Water-Conducting Zone Based on the Improved Cuckoo Search Algorithm–Extreme Learning Machine Model
by: Zhijie Zhu, et al.
Published: (2022-03-01) -
Speech feature selection and emotion recognition based on weighted binary cuckoo search
by: Zicheng Zhang
Published: (2021-02-01) -
An integrated cuckoo search optimizer for single and multi-objective optimization problems
by: Xiangbo Qi, et al.
Published: (2021-03-01) -
A Hybrid Algorithm from Cuckoo Search Method with N-Queens Problem
by: Isra Alkallak
Published: (2012-12-01) -
Rolling Bearing Fault Feature Selection Method Based on a Clustering Hybrid Binary Cuckoo Search
by: Lijun Sun, et al.
Published: (2023-01-01)