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A more balanced linear equalizer in this case is the minimum mean-square error equalizer, which does not usually eliminate ISI completely but instead minimizes the total power of the noise and ISI components in the output. Then no difference remains with the other type >> of equalizer that uses mean square error criteria which tries to minimize >> the error between the same.) >> -If no, which algorithm is used to make an equalizer based on peak >> distortion creteria adaptive? >> Thanks in advance. >Hi, >Maybe I could not put what I wanted to ask into correct words. As a consequence, any noise added after the channel gets boosted by a large factor and destroys the overall signal-to-noise ratio. Wireless Communications and Networking. 4". The frequency response of a >zero-forcing equalizer is equivalent to that of a linear minimum mean- >squared error (LMMSE) equalizer when the signal-to-noise ratio is >infinite (i.e. Even though the channel impulse response has finite length, the impulse response of the equalizer needs to be infinitely long At some frequencies the received signal may be weak. Jason Reply . p.143. The zero-forcing equalizer removes all ISI, and is ideal when the channel is noiseless. I am a bit confused. Posted by despite ●May 8, 2008. > >Vladimir Vassilevsky >DSP and Mixed Signal Design Consultant > > > Reply . Hi, Maybe I could not put what I wanted to ask into correct words. the one that is optimal and actually minimizes >the MSE). despite wrote: > Hello, > Could you please give me an example of adaptive algorithm that can be used > for a zero forcing equalizer. the one that is optimal and actually minimizes the MSE). > >As Manolis pointed out, this is correct. Regards.

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