Author: wei liu
Summary: simulation of binary and non-binary bch decoder
MATLAB Release: R14SP1
Required Products: Communications Toolbox
Description: simulation of binary bch decoding algorithm for bch(n, k) with t bits error correction capability.
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This paper examines the asymptotic (large sample) performance
of a family of non-data aided feedforward (NDA FF) nonlinear
least-squares (NLS) type carrier frequency estimators for burst-mode
phase shift keying (PSK) modulations transmitted through AWGN and
flat Ricean-fading channels. The asymptotic performance of these estimators
is established in closed-form expression and compared with the
modified Cram`er-Rao bound (MCRB). A best linear unbiased estimator
(BLUE), which exhibits the lowest asymptotic variance within the family
of NDA FF NLS-type estimators, is also proposed.
Returns weighted percentiles of a sample given the weight vector w
％ The idea is to give more emphasis in some examples of data as compared to
％ others by giving more weight. For example, we could give lower weights to
％ the outliers.
％ The motivation to write this function is to compute percentiles for Monte
％ Carlos simulations where some simulations are very bad (in terms of goodness
％ of fit between simulated and actual value) than the others and to give
％ the lower weights based on some goodness of fit criteria.
