Low Power Kogge Stone Adder Applied in FIR Filter using Cadance Tool

Abstract

A maximum width configuration AT is accomplished by post truncation and direct truncation by using a maximum width adder-tree (AT) configuration. The full width Output AT will be truncated by one lower order bit each adder and the lower order bits of the final stage Adder output, when p = dlog2 Ne & N is the size of the Input-Vector, will be truncate in the case of a post-truncation. These two methods are not efficient in design. Carry look forward adder is used for the current process. In this article we propose a new method to obtain truncated feedback of the fixed-width tree type. A probabilistic approximation formula to account for the truncation error is provided. In the AT architecture suggested we have used Kogge stone adder to approximate the output with almost exactly the same precision as the AT fixed-width post-truncation, with the best accuracy in the current AT fixed-width. And in the FIR filter we enforce the current process. Walsh-Hadamard also noted that, based on its proposed fixed width architecture AT, transforming higher-textured images of higher PSNR and moderate textures with approximately the same PSNR that were obtained using current PSNR models, reconstructing images with higher high noise ratio (PSNR). The proposed design provides a further gain, much as with information, to optimise additional blocks that occur in an upstream adder tree (AT) complex architecture.