In this paper, a new adaptive equalization technique of a multi-gigabit channel is proposed. This approach calculates the voltages probability density functions of the received signal; and based on the spread of the PDF curves, weights of FIR filters are updated. The algorithm was tested in a Tyco XAUI-FR4 backplane.

An adaptive discrete cosine transform (DCT) algorithm was presented by Hontsch et. al. under the perceptual metric which provided good bit rate. However, this method requires carefully calibrated viewing conditions. In this paper, we present a new adaptive discrete cosine transform where the quantization steps are adapted for each DCT coefficient using the new universal quality index. This new quality index does not require carefully calibrated viewing conditions and it is based on a combination of luminance and contrast distortions, and loss of correlation. Results obtained show that the procedure converges and provides a good bit rate.

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In this paper, an adaptive equalization technique of a multi-gigabit channel using duobinary signaling is proposed. Both the receiver and transmitter are equalized and implemented using ADS. The results show that the duobinary signaling performs better than NRZ at half of the bandwidth. The algorithm was tested in a Tyco XAUI-FR4 backplane.