In digital channels, pulse shaping is achieved by passing readback sam
ples through a discrete-time filter called the equalizer, which is typ
ically implemented using a finite impulse response (FIR) filter consis
ting of taps and delays. Under the finite-complexity constraint, the e
qualizer performance is a highly sensitive function of timing phase. I
n this paper, we investigate the performance of different equalization
schemes suitable for high density magnetic recording - partial respon
se linear equalization and feedback equalization - as a function of st
atic sampling phase and of equalizer complexity.