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Equalization

Adaptive and MLSE equalizers

System Objects

comm.MLSEEqualizer Equalize using maximum likelihood sequence estimation

Blocks

CMA Equalizer Equalize using constant modulus algorithm
LMS Decision Feedback Equalizer Equalize using decision feedback equalizer that updates weights with LMS algorithm
LMS Linear Equalizer Equalize using linear equalizer that meditorsupdates weights with LMS algorithm
MLSE Equalizer Equalize using Viterbi algorithm
Normalized LMS Decision Feedback Equalizer Equalize using decision feedback equalizer that updates weights with normalized LMS algorithm
Normalized LMS Linear Equalizer Equalize using linear equalizer that updates weights with normalized LMS algorithm
RLS Decision Feedback Equalizer Equalize using decision feedback equalizer that updates weights with RLS algorithm
RLS Linear Equalizer Equalize using linear equalizer that updates weights using RLS algorithm
Sign LMS Decision Feedback Equalizer Equalize using decision feedback equalizer that updates weights with signed LMS algorithm
Sign LMS Linear Equalizer Equalize using linear equalizer that updates weights with signed LMS algorithm
Variable Step LMS Decision Feedback Equalizer Equalize using decision feedback equalizer that updates weights with variable-step-size LMS algorithm
Variable Step LMS Linear Equalizer Equalize using linear equalizer that updates weights with variable-step-size LMS algorithm

Functions

cma Construct constant modulus algorithm (CMA) object
dfe Construct decision-feedback equalizer object
equalize Equalize signal using equalizer object
lineareq Construct linear equalizer object
lms Construct least mean square (LMS) adaptive algorithm object
mlseeq Equalize linearly modulated signal using Viterbi algorithm
normlms Construct normalized least mean square (LMS) adaptive algorithm object
reset (equalizer) Reset equalizer object
rls Construct recursive least squares (RLS) adaptive algorithm object
signlms Construct signed least mean square (LMS) adaptive algorithm object
varlms Construct variable-step-size least mean square (LMS) adaptive algorithm object

Examples and How To

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