Recently, the Reconfigurable FSM has drawn the attention of the researchers for multistage signal processing applications. The optimal synthesis of Reconfigurable finite state machine with input multiplexing (Reconfigurable FSMIM) architecture is done by the iterative greedy heuristic based Hungarian algorithm (IGHA). The major problem concerning IGHA is the disintegration of a state encoding technique. This paper proposes the integration of IGHA with the state assignment using logarithmic barrier function based gradient descent approach to reduce the hardware consumption of Reconfigurable FSMIM. Experiments have been performed using MCNC FSM benchmarks which illustrate a significant area and speed improvement over other architectures during field programmable gate array (FPGA) implementation.

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A novel angle selective photodetector with gold surface plasmon (SP) antenna on a silicon-on-insulator (SOI) photodiode (PD) is proposed to capture the direction of the incident light. Two types of SP antenna, namely one-dimensional line-and-space grating and two-dimensional hole array grating, are reported. The SP antenna efficiently couples the incident light with the waveguide modes in the SOI PD at specific incident angles. The analytical modelling based on the phase matching between the diffracted light from the SP antenna and the propagating light in the SOI predicts the angle selective behavior of the device. The simulation by finite difference time domain (FDTD) method and measurement have successfully confirmed the prediction. These characteristics to detect the light at different incident angles could be useful in emerging applications such as lensless imaging.

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