2007China Integrated CircuitRequires access

The implementation of NCO based on CORDIC algorithm

Qi Bo Feng

Open publisher page 1 citations

Abstract

Function generator is the main part of NCO which is widely used in signal processing. A new CORDIC algorithm implemented by the state machine and pipeline based on FPGA is proposed to replace the traditional look-up table ROM method in this paper.The simulated result of Quartus II shows that the given theory is efficient.

About this research paper

What this paper is about

Function generator is the main part of NCO which is widely used in signal processing. A new CORDIC algorithm implemented by the state machine and pipeline based on FPGA is proposed to replace the traditional look-up table ROM method in this paper.The simulated result of Quartus II shows that the given theory is efficient.

Why it matters

OpenAlex reports 1 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

Function generator is the main part of NCO which is widely used in signal processing. A new CORDIC algorithm implemented by the state machine and pipeline based on FPGA is proposed to replace the traditional look-up table ROM method in this paper.The simulated result of Quartus II shows that the given theory is efficient.

Key concepts: CORDIC, Pipeline (software), Field-programmable gate array, Computer science, Table (database), Lookup table, Generator (circuit theory), Algorithm

Related papers

Back to paper searchBrowse research topicsOriginal source
The implementation of NCO based on CORDIC algorithm — Research Paper | ScholarLens