Power is a major constraint in Digital VLSI circuits, due to reduction in sizes of Metal Oxide Semiconductor (MOS) transistors are scaling down. Low-power technologies are used to diminish the power utilization be able to be classified as Sub-threshold CMOS and Adiabatic logic tachniques. In, Sub-threshold CMOS defines a system which reduces the power utilization to inferior than the threshold voltage of a MOS Device, where as Adiabatic logic circuit is a method which minimizes the energy usage through suppress the applied voltage to the resistance of a given VLSI design. This effort deals to offer a subthreshold adiabatic logic circuit of low power CMOS circuits that uses 2φ clocking subthreshold Adiabatic Logic. The digital circuits were designed in HSPICE using 0.18 μm CMOS standard process technology. It is evident from the results that the 2φ Clocking Subthreshold Adiabatic design is beneficial in major application where power starving is of major significance at the same time as in elevated its performance efficiency in DSP processor IC, System on chip, Network on chip and High speed digital ICs.

 Abstract: Identifying the accurate radar echo returns from the MST (Mesosphere-Stratosphere-Troposphere) region poses serious challenges, as the radar echo signals are of very low amplitude and hidden in noise. The process of extraction of the relevant signal information becomes intricate when the spectra sometimes are infected with interference signals of non-atmospheric origin. An automated algorithm is suggested for eliminating the interference bands in the Doppler spectra of MST radar signals. The process of removal of interference and de-noising of the radar echoes using soft thresholding techniques was achieved simultaneously. The algorithm was practically applied to interference contaminated MST radar data taken from National Atmospheric Research Laboratory (NARL), Gadanki, Tirupati and studied for removal of interference bands. It was found that the projected algorithm effectively removes multiple interference bands and also improves signal detectability. The power and Doppler values (moments) are estimated using FFT and HHT (Hilbert Huang Transform) and median Doppler is plotted on Doppler power spectrum and compared.