Generalized correlation function: definition, properties, and application to blind equalization
By Ignacio Santamaría, Puskal P. Pokharel, José Carlos Príncipe. IEEE Transactions on Signal Processing, 2006
441 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Statistical and Nonlinear Physics, Signal Processing
View Paper: https://www.semanticscholar.org/paper/b3fc71690f9a2764d7654962facdaf6377c6845b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Weifeng Liu
- Puskal P. Pokharel
- Bao-Gang Hu
- Ran He
- Weishi Zheng
- José Carlos Príncipe
- Xiangwei Kong
- Kari Torkkola
In Statistical and Nonlinear Physics
In Signal Processing
- Ran He
- Weishi Zheng
- Bao-Gang Hu
- Weifeng Liu
- José Carlos Príncipe
- Xiangwei Kong
- Puskal P. Pokharel
- Dacheng Tao
Citations in the corpus
- Correntropy: A Localized Similarity Measure (2006, methodology): “In fact for the Gaussian kernel all even moments of the random variable contribute to the estimation of similarity due to the nonlinearity provided by the kernel [6].”
- Correntropy: Properties and Applications in Non-Gaussian Signal Processing (2007, methodology): “Finally, Section VI summarizes the main conclusions and future lines of research.”
- Robust Principal Component Analysis Based on Maximum Correntropy Criterion (2011, methodology): “It is derived from the generalized correlation function of random processes and is directly related to the information potential (IP) of Renyi’s quadratic entropy [16] in which Parzen windowing method is used to estimate the data’s probability distribution [22].”
- Maximum Correntropy Criterion for Robust Face Recognition (2011, methodology): “method is used to estimate the data distribution [39].”