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<references>
<reference>
  <a1>Vanbleu, K</a1>
  <a2>Cuypers, G</a2>
  <a2>Moonen, M</a2>
  <a2>Ysebaert, G</a2>
  <t1>On time-domain and frequency-domain MMSE-based TEQ design for DMT transmission</t1>
  <t2>IEEE Trans. Signal Process.</t2>
  <sn/>
  <op>3311-3324</op>
  <vo>53</vo>
  <ab>We reconsider the minimum mean square error (MMSE) time-domain equalizer (TEQ), bitrate maximizing TEQ (BM-TEQ), and per-tone equalizer design (PTEQ) for discrete multitone (DMT) transmission and cast them in a common least-squares (LS) based framework. The MMSE- TEQ design criterion can be formulated as a constrained linear least-squares (CLLS) criterion that minimizes a time-domain (TD) error energy. From this CLLS-based TD-MMSE-TEQ criterion, we derive two new least-squares (LS) based frequency-domain (FD) MMSE-TEQ design criteria: a CLLS-based FD-MMSE-TEQ criterion and a so-called separable nonlinear LS (SNLLS) based FD-MMSE-TEQ design. Finally, the original BM-TEQ design is shown to be equivalent to a so-called iteratively-reweighted (IR) version of the SNLLS-based FD-MMSE-TEQ design. This LS-based framework then results in the following contributions. The new, IR-SNLLS-based BM-TEQ design criterion gives rise to an elegant, iterative, fast converging, Gauss-Newton-based design algorithm that exploits the separability property. The intermediate FD-MMSE-TEQ designs establish a link between the TD- MMSE-TEQ on one hand and the BM-TEQ and the PTEQ on the other hand. Moreover, the considered LS-based equalizer designs-although at first sight very different in nature-exhibit remarkable correspondence when turned into equivalent generalized eigenvalue problems.</ab>
  <la>eng</la>
  <k1>DMT modulation;
                Gauss Newton based design algorithm;
                MMSE;
                bitrate maximizing TEQ;
                channel shortening;
                discrete multitone transmission;
                frequency domain;
                generalized eigenvalue problems;
                iteratively reweighted inversion;
                least squares based framework;
                minimum mean square error;
                per tone equalizer design;
                separable nonlinear least square;
                time domain equalizer;
                </k1>
  <pb/>
  <pp/>
  <yr>2005</yr>
  <ed/>
  <ul/>
  <no>Imported from Invenio.</no>
</reference>

</references>