Sentence examples for soft estimates from inspiring English sources

Interference cancellation (IC) is done by taking hard and soft estimates of received data bits.

The resulting vector contains significantly less interference compared to when the soft estimates in get better from iteration to iteration.

The calculation of soft estimates for general complex-valued symbol alphabets according to (16) is also given in [7].

For calculation of soft estimates used for cancellation, the distribution of residual interference is commonly assumed to be Gaussian.

After the Doppler correction and equalization, the soft estimates are demapped into bit likelihoods using (15)–(15).

In order to derive soft estimates from the MMSE-detected samples, the procedure described in [22] is adapted to the situation at hand.

which contains the soft estimate of the interfering symbols from the previous iteration.

Finally, using the mentioned assumptions, the soft estimate of (13) can be derived as (16).

The soft estimated symbol vector (hat {textbf {s}}) is used to cancel the interference terms in the received signal.

With help of the pdf a new soft estimate according to (23) can be calculated utilizing (19).

For derivation of MF ISDIC, we introduce the vector, which is used for calculation of the soft estimate.