2016Unpublished venueRequires access

An enhanced mixed-scaling-rotation CORDIC algorithm with weighted amplifying factor

Jaina Mehta, Pratik Trivedi

Open publisher page 2 citations

Abstract

Mixed Scaling Rotation COordinate Rotational DIgital Computer (MSR-CORDIC) algorithm has found its application in the areas where the rotation angles are known beforehand. The algorithm merges the micro-rotation and scaling operations resulting in the elimination of the overhead caused by the scaling operation. Through this paper, an improved MSR-CORDIC algorithm is proposed. This algorithm provides higher signal-to-quantization-noise ratio (SQNR) performance while preserving the features offered by the original MSR-CORDIC algorithm. The novelty of the paper lies in redefining the amplifying factor by multiplying the rotational sequences to the corresponding signed-power-of-two (SPT) terms. The proposed algorithm offers a better alternative to MSR-CORDIC without additional hardware complexity.

About this research paper

What this paper is about

Mixed Scaling Rotation COordinate Rotational DIgital Computer (MSR-CORDIC) algorithm has found its application in the areas where the rotation angles are known beforehand. The algorithm merges the micro-rotation and scaling operations resulting in the elimination of the overhead caused by the scaling operation. Through this paper, an improved MSR-CORDIC algorithm is proposed. This algorithm provides higher signal-to-quantization-noise ratio (SQNR) performance while preserving the features offered by the original MSR-CORDIC algorithm. The novelty of the paper lies in redefining the amplifying factor by multiplying the rotational sequences to the corresponding signed-power-of-two (SPT) terms. The proposed algorithm offers a better alternative to MSR-CORDIC without additional hardware complexity.

Why it matters

OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Mixed Scaling Rotation COordinate Rotational DIgital Computer (MSR-CORDIC) algorithm has found its application in the areas where the rotation angles are known beforehand. The algorithm merges the micro-rotation and scaling operations resulting in the elimination of the overhead caused by the scaling operation. Through this paper, an improved MSR-CORDIC algorithm is proposed. This algorithm provides higher signal-to-quantization-noise ratio (SQNR) performance while preserving the features offered by the original MSR-CORDIC algorithm. The novelty of the paper lies in redefining the amplifying factor by multiplying the rotational sequences to the corresponding signed-power-of-two (SPT) terms. The proposed algorithm offers a better alternative to MSR-CORDIC without additional hardware complexity.

Key concepts: CORDIC, Algorithm, Scaling, Rotation (mathematics), Quantization (signal processing), Computer science, Overhead (engineering), Mathematics

Related papers

Back to paper searchBrowse research topicsOriginal source
An enhanced mixed-scaling-rotation CORDIC algorithm with weighted amplifying factor — Research Paper | ScholarLens