Possibility of the pipelining technique application in a space/spatial-frequency filter implementation based on the local frequency estimation

Possibility of the pipelining technique application in a local frequency estimation-based system for nonstationary two-dimensional (2D) FM signals estimation, initially observed in [1], [2], but completely developed, implemented (in FPGA), and adapted (extended to the highly nonstationary signals case) in [3], is considered here. The applied technique allows the implemented filter to overlape in execution unconditional steps performing in neighboring space/spatial-frequency (S/SF) instants and, therefore, to significantly improve execution time. In this way, the improvement in execution time coresponding to the one clock cycle (CLK) by an S/SF point is achieved, which means that the improvement by an S/SF point can reach 50% in a great part of S/SF space. The achieved improvement in execution time by an SSF point is presented on the example of the multicomponent nonstationary noisy signal filering.