University of Seoul Industry Cooperation Foundation

Jae-Geol Lee

Yongsam Moon

Yo-Han Kim

Hyeon-Woo Ahn

Soo-Hwan Yoo

Il-Soo Lee

Young-Gil Go

Hye-Seong Shin

Hyo-Goon Lim

A method of adaptively training an equalizer system of a PAM-N receiver is disclosed. The method of training an equalizer system according to the present invention employs a training pattern including a first training data pattern and second training data pattern to tune the continuous-time linear equalizer, decision feedback equalizer and sampler constituting the equalizer system before use in actual communication enabling long-distance, high-speed communication.

Method of adaptively training an equalizer system of PAM-N receiver using training data patterns

A PAM-N receiver capable of adaptively adjusting threshold voltages determining a level of a received signal and a method of adaptively adjusting threshold voltages thereof are disclosed. According to the method of the present invention, the result of comparison between reference data levels and the level of data in the received signal are used to adjust the reference data levels, and the threshold voltages of a PAM-N receiver are adaptively calculated from the adjusted reference data levels, thereby reflecting transmission line conditions and Inter-Symbol Interference.

PAM-N receiver capable of adaptively adjusting threshold voltages determining level of data in received signal and method of adaptively adjusting threshold voltages of PAM-N receiver

A PAM4 receiver including an adaptive continuous-time linear equalizer and a method for training the same are disclosed. The PAM4 receiver and the method for training the same of the present invention employs a training pattern including a first training data pattern and second training data pattern to adaptively tune the PAM4 receiver to achieve accurate data reception and long-distance, high-speed communication.

PAM4 receiver including adaptive continuous-time linear equalizer and method of adaptively training the same using training data patterns

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Seoul, South Korea

Jae-Geol Lee