This paper presents a sample rate conversion filter for decimation with flat passband. The proposed linear programming optimization (LPO) technique improves the magnitude response of filter with least computational complexity. Computational complexity has been a major factor in selection of decimation filter. Simulation results indicate that the proposed filter shows passband droop less than 0.007 dB with 50.5% decrease in computational complexity. The proposed filter eliminates the need of compensator.
In medical image diagnosis, performance is affected because of degradation in image resolution, imaging equipment and imaging parameters. Currently, deep learning has gained much attention from researchers due to its capability to maintain perceptual quality after reconstruction. Therefore, this letter is motivated by the advantages of deep learning and proposes a novel model termed as the correlation filter interleaved progressive convolution network (CFIPC). In this letter, dilated convolution interleaved with a correlation filter expands the receptive field without any pixel information losses. The result analysis was performed on DRIVE, CHASEB1, MRI, ultrasound and histopathological dataset medical datasets at 2x/4x/8x/16x upscaling factors and achieved the highest PSNR/SSIM value of 50.54/0.9986 at a 2x upscaling factor on the histopathological dataset.
In this paper a low power single ended 13T SRAM cell has been proposed for bit inter-leaving application. A column aware scheme is used in the cell to achieve stable SRAM cell with better performance than the existing designs. The proposed SRAM cell exhibit robust read operation and better read performance with lower power consumption. This proposed 13T SRAM has been compared with standard 6T SRAM and existing 9T SRAM (with bit-interleaving capability) in term of Power consumption, Delay and Power Delay Product (PDP) at various supply voltages as 1.8V, 1.6V and 1.4V. The simulations are carried out on Cadence Virtuoso at 180nm CMOS technology and the simulation results are analyzed to verify the superiority of the proposed design over the existing designs. The proposed 13T SRAM proves to be better in terms of power and PDP at all the supply voltages. At 1.8V power saving by the proposed circuit is 72.46% compared to standard 6T SRAM cell and significant improvement is observed at other supply voltages also.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.