TY  - JOUR 
TI  - Effects of blind channel equalization using the regressive accelerator algorithm version ɣ
PB  - Universidad Icesi
PY  - 2018
issn 1692-5238
AB  - We present a blind channel equalization scheme, applied to γ  version regressive acceleration algorithm, 
which  uses  self-taught  equalization  techniques  to  study  the  characteristics  of   both,  the  second  and  the  higher  order  
moments for the transmitted signal, used to calculate the signal of  error and thus, to make an optimal estimation of  the 
transmitted symbols. This way, simulations of  the obtained results are done in comparison with the algorithms based on 
the stochastic gradient and with the Bussgang algorithms. The results of  that simulations show how, using the regressive 
acceleration algorithm version 
γ, a better detection of  transmitted bits and higher convergence speeds are obtained, with 
a minimum mean square error.
KW  - Datos
KW  - Algoritmos
KW  - Simulaciones
KW  - Símbolos
KW  - Convergencia
UR  - http://repository.icesi.edu.co/biblioteca_digital/handle/10906/84495
ER  -