An efficient solution is to apply, for each dimension, the Euchner-Schnorr "zig-zag" algorithm [29], which determines the symbol closest to the received one or to the estimated x ^ ( t ), and alternatively adds points on its left and right, till the boundaries of the constellation or the square subset sizes are not exceeded.
So if "Piss Christ" upsets people, maybe this is so because it is bringing the symbol closer to its original meaning.
This is not due to the lack of pilot subcarriers at the edges of the OFDM symbol, but due to insignificant power allocated to the pilot symbols close to the null subcarriers.
This is not due to lack of the pilot subcarriers at the edge of OFDM symbols but insignificant power allocated to the pilot symbols close to the null subcarrier zone.
In this plot there are no symbols close to the centre.
Symbols with the highest amplitude will undergo a higher phase rotation than symbols closer to the constellation centre.
This corresponds to the assumptions that if an error occurs, then the transmitted symbol can only be one of the symbols closest to the estimated one.
As to the context model in time domain, we only consider one state context which models the past symbol B close to the current symbol C because the state before B has a weaker correlation with C while more states mean higher complexity.
The symbol * close to the value of res indicates that the behavior of the norm of the outer residual (∥F u k))∥) is not monotone decreasing.
In[3], it is stated that, the power of pilot symbols decreases when the pilot symbols are close to the null/virtual carriers zone due to the fact that there are less data carriers, this might be true, however the power allocated to these subcarriers need to be significant, otherwise the problem of channel estimation via the extrapolation of the edge subcarriers will still persist[32].
Even if there were a single cause for symbols, or close to it, we would soon find a way to turn it on its head.
