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James A. Ritcey
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Publications
- 2016
- [j38]Seyed Mohammad Ali Tayaranian Hosseini, Hamidreza Amindavar, James A. Ritcey:
Robust detection in ultra-wideband impulse radar using DPSS-MMSE estimator. EURASIP J. Adv. Signal Process. 2016: 60 (2016) - 2015
- [j36]Mohammad Hossein Gholizadeh, Hamidreza Amindavar, James A. Ritcey:
On the capacity of MIMO correlated Nakagami- m fading channels using copula. EURASIP J. Wirel. Commun. Netw. 2015: 138 (2015) - 2014
- [j34]Mohammadali Sebghati, Hamidreza Amindavar, James A. Ritcey:
Basis approach to estimate the instantaneous frequencies in multicomponent AM-FM signals. EURASIP J. Audio Speech Music. Process. 2014: 8 (2014) - 2013
- [j33]Mohammad Hossein Gholizadeh, Hamidreza Amindavar, James A. Ritcey:
Analytic Nakagami fading parameter estimation in dependent noise channel using copula. EURASIP J. Adv. Signal Process. 2013: 129 (2013) - [j32]Seyyed Hamed Fouladi, Mohammadehsan Hajiramezanali, Hamidreza Amindavar, James A. Ritcey, Payman Arabshahi:
Denoising Based on Multivariate Stochastic Volatility Modeling of Multiwavelet Coefficients. IEEE Trans. Signal Process. 61(22): 5578-5589 (2013) - 2011
- [c16]Showan Ashrafi, Hamidreza Amindavar, James A. Ritcey, Rodney Lynn Kirlin:
Construction of positive time-frequency distributions using dynamic copula. ICASSP 2011: 3588-3591 - 2010
- [j29]S. Mohammad Saberali, Hamidreza Amindavar, James A. Ritcey:
Blind detection in symmetric non-Gaussian noise with unknown PDF using maximum entropy method with moment generating function constraints. Signal Process. 90(3): 891-899 (2010) - [j28]Maryam Fatemi, Hamidreza Amindavar, James A. Ritcey:
Noise reduction via harmonic estimation in Gaussian and non-Gaussian environments. Signal Process. 90(5): 1554-1561 (2010) - 2009
- [c15]Mahdi Parchami, Hamidreza Amindavar, James A. Ritcey:
Application of characteristic function to detection in sinusoidal interference plus Gaussian noise. ICASSP 2009: 3057-3060 - 1994
- [j5]Hamidreza Amindavar, James A. Ritcey, Arun K. Somani:
Analytical computation of Markov chain using Padé approximations. Comput. Oper. Res. 21(6): 661-675 (1994)
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