Erratum to: Channel Estimation in Long Term Evolution Uplink Using Minimum Mean Square Error-Support Vector Regression

A minimum mean square error channel estimator for OFDM

A minimum mean square error channel estimator for OFDM

Rate-distortion function via minimum mean square error estimation

We derive a simple general parametric representation of the rate–distortion function of a memoryless source, where both the rate and the distortion are given by integrals whose integrands include the minimum mean square error (MMSE) of the distortion ∆ = d(X, Y ) based on the source symbol X , with respect to a certain joint distribution of these two random variables. At first glance, these rel...

Minimum mean-square-error expression of LMMSE channel estimation in SISO OFDM systems

An expression of the minimum mean square error (MMSE) of the linear MMSE channel estimation is given in the case of a non-invertible channel covariance matrix, as in single-input single-output (SISO) OFDM system. A matrix expression, already proposed for a multiinput multi-output OFDM system in a previous article, is not valid in SISO. A new proof is then proposed, by deriving a scalar expressi...

Square Penalty Support Vector Regression

Support Vector Regression (SVR) is usually pursued using the 2–insensitive loss function while, alternatively, the initial regression problem can be reduced to a properly defined classification one. In either case, slack variables have to be introduced in practical interesting problems, the usual choice being the consideration of linear penalties for them. In this work we shall discuss the solu...