It is increasingly being recognized that a conceptual basis for studying spatial signal transduction in signalling networks is necessary.
An interesting insight revealed from our analysis was that when particular elements in the cyclic network are highly diffusible, both "upstream" and "downstream" elements show a spatially homogenous response to a spatial signal.
In this paper we will elucidate certain aspects of spatial signal processing in the first case, namely spatially varying signals upstream of a given network.
Homogeneous enhancement is diagnosed if the lesion shows a uniform enhancement without spatial signal variations.
Thus, in principle, TDD can support more advanced spatial signal processing methods than FDD.
It also shows that PSR method has well applicability when processing spatial signal interfered by K-distributed envelope noise.
By means of tuning system parameters, numerical simulation shows that PSR method can effectively recover the spatial signal interfered by Gaussian noise.
In an MRI LINAC system, a set of split gradient coils is employed to produce orthogonal gradient fields for spatial signal encoding.
On the other hand, in order to construct LMMSE receivers, the spatial signal covariance or the transmit amplitudes and need to be known or estimated.
All interneurons are modeled as a single inhibitory unit providing global feedback inhibition so that only the external input and recurrent hippocampal input provide a spatial signal.
Normally, road excitation is expressed using road surface roughness, and when loaded into the mounting model, the spatial signal must be transformed into time domain.
