S. E. EL-KHAMY, H. A. ELSAYED
Vol. 30, No. 4, 2006, pp. 642-649.
 A. Ebrahimzadeh and M. Ebrahimzadeh, “An Expert Sys-
tem for Digital Signal Type Classification,” Journal of
Electrical Engineering, Vol. 58, No. 6, 2007, pp. 334-341.
 X. Zhou, Y. Wu and B. Yang, “Signal Classification Meth-
od Based on Support Vector Machine and High-Order
Cumulants,” Wireless Sensor Network, Vol. 2, No. 1, 2010,
pp. 48-52. doi:10.4236/wsn.2010.21007
 A. Ebrhimzadeh, H. Azimi and H. M. Naeemi, “Classifi-
cation of Communication Signals Using an Optimized
Classifier and Efficient Features,” The Arabian Journal
for Science and Engineering, Vol. 35, No. 1B, 2010, pp.
 S. M. Zhou, J. Q. Gan and F. Sepulveda, “Classifying
Mental Tasks Based on Features of Higher-Order Statis-
tics from EEG Signals in Brain-Computer Interface,” In-
formation Sciences, Vol. 178, No. 6, 2008, pp. 1629-1640.
 C. K. Chua, V. Chandran, R. U. Acharya and L. C. Min,
“Cardiac Health Diagnosis Using Higher Order Spectra
and Support Vector Machine,” The Open Medical Infor-
matics Journal, Vol. 3, 2009, pp. 1-8.
 M. Kaur and A. S. Arora, “Unsupervised Analysis of Arr-
hythmias Using K-Means Clustering,” International Jour-
nal of Computer Science and Information Technologies,
Vol. 1, No. 5, 2010, pp. 417-419.
 M. Murugappan, M. Rizon, R. Nagarajan, S. Yaacob, I.
Zunaidi and D. Hazry, “EEG Feature Extraction for Clas-
sifying Emotions Using FCM and FKM,” Internat- ional
Journal of Computers and Communications, Vol. 1, 2007,
 N. Ahmadi and R. Berangi, “Symbol Based Modulation
Classification Using Combination of Fuzzy Clustering
and Hierarchical Clustering,” Signal Processing: An In-
ternational Journal, Vol. 4, No. 2, 2010, pp. 123-137.
 M. Sayadi, L. Tlig and F. Fnaiech, “A New Texture Seg-
mentation Method Based on the Fuzzy C-Mean Algorithm
and Statistical Features,” Applied Mathematical Sciences,
Vol. 1, No. 60, 2007, pp. 2999-3007.
 P. Prakasam and M. Madheswaran, “Mary Shift Keying
Modulation Scheme Identification Algorithm Using Wave-
let Transform and Higher Order Statistical Moment,” Jour-
nal of Applied Science, Vol. 8, No. 1, 2008, pp. 112-119.
 R. M. Al-Makhlasawy, W. Hamouda, M. M. Abd Elnaby,
H. A. El-Khobby and F. E. Abd El-Samie, “Automatic
Modulation Recognition Using Cepestral Analysis and
Neural Networks in Wireless Systems,” 29th National
Radio Science Conference, Cairo, 10-12 April 2012.
 S. E. El-Khamy H. A. Elsayed and M. M. Rizk, “Classi-
fication of Multi-User Chirp Modulation Signals Using
Higher Order Cumulant Features and Four Types of Clas-
sifiers,” 28th National Radio Science Conference, Cairo,
Egypt, 26-28 April 2011.
 H. A. Elsayed, S. E. El-Khamy and M. R. Rizk, “Higher
Order Statistics Classification of Multi-User Chirp Modu-
lation Signals Using Clustering Techniques,” URSI GASS
2011, Istanbul, 13-20 August 2011.
 S. E. El-Khamy, H. A. Elsayed and M. R. Rizk, “Bispec-
trum Classification of Multi-User Chirp Modulation Sig-
nals Using Artificial Intelligent Techniques,” WorldComp
2011, Las Vegas, 18-21 July 2011.
 S. E. El-Khamy and M. B. Al-Ghoniemy, “The Wavelet
Transform: A Review and Application to Enhanced Data
Storage Reduction in Mismatched Filter Receivers,” Pro-
ceedings of the Thirteenth National Radio Science Con-
ference, Cairo, 19-21 March 1996.
 M. P. Fargues and G. Hatzichristos, “A Hierarchical Ap-
proach to the Classification of Digital Modulation Types
In Multipath Environments,” Conference Record of the
Thirty-Fifth Asilomar Conference on Signals, Systems and
Computers, Pacific Grove, 4-7 November 2001.
 C. L. Nikias and J. M. Mendel, “Signal Processing with
Higher Order Spectra,” IEEE Signal Processing Maga-
zine, Vol. 10, No. 3, 1993, pp. 10-37.
 S. E. El-Khamy, “Matched Swept-Frequency Digital Mo-
dulation for Binary Signaling in Inhomogeneous Disper-
sive Media,” IEEE Transactions on Antennas and Pro-
pagation, Vol. 28, No. 1, 1980, pp. 29-35.
 S. E. El-Khamy and S. E. Shaaban, “Matched Chirp Mo-
dulation: Detection and Performance in Dispersive Com-
munication Channels,” IEEE Transactions on Communi-
cations, Vol. 36, No. 4, 1988, pp. 506-509.
 S. E. El-Khamy, S. E. Shaaban and E. A. Thabet, “Multi-
User Chirp Modulation Signals (M-CM) for Efficient
Multiple Access Communication Systems,” Proceedings
of the Thirteenth National Radio Science Conference,
Cairo, 19-21 March 1996.
 S. E. El-Khamy, S. E. Shaaban and E. A. Thabet, “Effic-
ient Multiple-Access Communications Using Multi-User
Chirp Modulation Signals,” IEEE 4th International Sym-
posium on Spread Spectrum Techniques and Applications
Proceedings, Mainz, 22-25 September 1996, pp. 1209-1213.
 S. E. El-Khamy, S. E. Shaaban and E. A. Thabet, “Fre-
quency Hopped-Chirp Modulation (FH-CM) for Multi-
User Signaling in Multipath Dispersive Media,” IEEE
Antennas and Propagation Society International Sympo-
sium, Orlando, 11-16 July 1999, pp. 396-399.
 C. L. Nikias and A. P. Petropulu, “Higher-Order Spectra
Analysis: A Nonlinear Signal Processing Framework,”
PTR Prentice-Hall, Englewood Cliffs, 1993.
 High Order Spectral Analysis Matlab Toolbox (9 February
 A. V. Rosti, “Statistical Methods in Modulation Classifi-
cation,” Master’s Thesis, Tampere University of Technol-
ogy, Tampere, 1999.
 H. Yoshioka, “A Fast Modulation Recognition Technique
Using Nearest Neighbor Rules with Optimized Threshold
for Modulation Classification in Rayleigh Fading Chan-
nels,” Proceedings of WPMC, Honolulu, 27-30 October
Copyright © 2012 SciRes. IJCNS