Complex Daubechies wavelets: properties and statistical image modelling
Signal Processing
A Data-Aided Symbol Timing and Frequency Offset Estimation Algorithm for OFDM Systems
Wireless Personal Communications: An International Journal
EURASIP Journal on Advances in Signal Processing
EURASIP Journal on Advances in Signal Processing
IEEE Transactions on Signal Processing
On testing for impropriety of complex-valued Gaussian vectors
IEEE Transactions on Signal Processing
Discrete-time estimation of second-order statistics of generalized almost-cyclostationary processes
IEEE Transactions on Signal Processing
Blind synchronization for OFDM systems in multipath channels
IEEE Transactions on Wireless Communications
On the equivalence of time and frequency domain maximum likelihood estimation
Automatica (Journal of IFAC)
Blind symbol timing estimation for OFDM/OQAM systems
IEEE Transactions on Signal Processing
A complex generalized Gaussian distribution: characterization, generation, and estimation
IEEE Transactions on Signal Processing
Adaptive detection in Gaussian interference with unknown covariance after reduction by invariance
IEEE Transactions on Signal Processing
Widely linear MMSE receivers for linear dispersion space-time block-codes
IEEE Transactions on Wireless Communications
Properness and widely linear processing of quaternion random vectors
IEEE Transactions on Information Theory
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Augmented second-order statistics of quaternion random signals
Signal Processing
Complex Gaussian scale mixtures of complex wavelet coefficients
IEEE Transactions on Signal Processing
Iterative HOS-SOS (IHOSS) algorithm for direction-of-arrival estimation and sensor localization
IEEE Transactions on Signal Processing
EURASIP Journal on Advances in Signal Processing
Testing blind separability of complex Gaussian mixtures
Signal Processing
Improved sparse coding under the influence of perceptual attention
Neural Computation
Hi-index | 35.77 |
Complex random vectors are usually described by their covariance matrix. This is insufficient for a complete description of second-order statistics, and another matrix called the relation matrix is necessary. Some of its properties are analyzed and used to express the probability density function of normal complex vectors. Various consequences are presented