Blind Equalization and Identification

By Zhiguo Ding, Ye Li. 2001

309 citations recorded by the source corpus.

Basic concepts and approaches single input single output blind equalization algorithms linear multichannel blind identification from second order statistics frequency domain approach to single user channel identification.

Subfields: Artificial Intelligence, Control and Systems Engineering, Signal Processing

View Paper: https://www.semanticscholar.org/paper/875251bec623bdebf4ae6f06387beecfb94d4c2a

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

1. Puskal P. Pokharel
2. José Carlos Príncipe
3. Andrzej S. Cichocki
4. Ignacio Santamaría
5. Shun-ichi Amari
6. Robert W. Heath
7. Weifeng Liu
8. Bernhard Schölkopf

In Control and Systems Engineering

1. Puskal P. Pokharel
2. Ignacio Santamaría
3. José Carlos Príncipe
4. Shun-ichi Amari
5. Andrzej S. Cichocki
6. Robert W. Heath

In Signal Processing

1. Andrzej S. Cichocki
2. Shun-ichi Amari
3. Puskal P. Pokharel
4. José Carlos Príncipe
5. Ignacio Santamaría
6. Edward J. Powers
7. Robert W. Heath
8. Changyong Shin

Citations in the corpus

• Generalized correlation function: definition, properties, and application to blind equalization (2006, methodology): “To solve the problem, blind techniques exploit some knowledge about the statistical properties of the input signal or the structure of the channel [22].”
• Blind Channel Estimation for MIMO-OFDM Systems (2007, background): “, [22]–[24], and [30]–[51] and references therein) have been presented since Tong et al.”
• Adaptive blind signal and image processing (2002, methodology): “A single source can be extracted by the minimization of the Godard criterion which is described by [219, 379]”