JICS

1. Step-size Normalization of Information Theoretic Learning Methods based on Random Symbols

Namyong Kim, Vol. 21, No. 2, pp. 49-55, Apr. 2020

10.7472/jksii.2020.21.2.49
Keywords: Distribution distance, random symbol, step-size, information potential, Impulsive noise.

2. Performance Enhancement of Algorithms based on Error Distributions under Impulsive Noise

Namyong Kim, Gyoo-yeong Lee, Vol. 19, No. 3, pp. 49-56, Jun. 2018

10.7472/jksii.2018.19.3.49
Keywords: components, Error distribution, delta function, Euclidean Distance, Impulsive noise.

3. Robustness to Impulsive Noise of Algorithms based on Cross-Information Potential and Delta Functions

Namyong Kim, Vol. 17, No. 2, pp. 11-18, Apr. 2016

10.7472/jksii.2016.17.2.11
Keywords: cross-information potential, delta function, CIPD, Impulsive noise, robustness

4. Estimation of Zero-Error Probability of Constant Modulus Errors for Blind Equalization

Namyong Kim, Vol. 15, No. 5, pp. 17-24, Oct. 2014

10.7472/jksii.2014.15.5.17
Keywords: constant modulus error, computational complexity, Gradient, Impulsive noise, zero-error probability

5. Complexity Reduction of Blind Algorithms based on Cross-Information Potential and Delta Functions

Namyong Kim, Vol. 15, No. 3, pp. 71-78, Jun. 2014

10.7472/jksii.2014.15.3.71
Keywords: cross-information potential, Dirac-delta, computational complexity, Impulsive noise, CIPD

6. Decision Feedback Equalizer Algorithms based on Error Entropy Criterion

Nam-Yong Kim, Vol. 12, No. 4, pp. 27-34, Aug. 2011
Keywords: Entropy, MEE, decision-feedback, Impulsive noise, multipath, equalizer, ITL