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you can use any equalization depending on your system complexity. like blind equalization or using adaptive filters to implement adaptive equalizers for devices that are supposed to work in different channels like cell phones to reduce the ISI for that specific channel, or fixed equalizer for fixed channels and conditions.
ISI is due to dispersion of the data pulses in the channel, if u could invert the effect of the channel then u will remove the ISI effect and get a good eye diagram
ISI symply occur due to non-ideal pulse shaping in transmitter and delay spread of the channel result overlapping other pulses. The way of reducing this is called equalization and there are many types of equalizers, i.e. linear equalizers (ZF, MMSE) and non-linear equalizers(DFE).
To get an idea of ISI see the down to earth totorial below.
**broken link removed**
For know about equalizers, refer to Proakis's well known book.
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