An Optimization of CORDIC Algorithm and FPGA Implementation

Rui, Xiaoting; Jiang, Zhanpeng; Huang, Hai; Dong, Changchun

doi:10.14257/ijhit.2015.8.6.21

Cited by 10 publications

(1 citation statement)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This paper proposes a method for processing radial artery ultrasound signals based entirely on the CORDIC algorithm. However, due to the large number of iterations and resource consumption of the traditional CORDIC algorithm [29,30], it is not applicable when the hardware and software resources of the ultrasound system are limited. Therefore, this paper introduces various high-performance CORDIC algorithms and designs a dynamic filtering module based on the radix-4 CORDIC algorithm, a quadrature demodulation module based on the partitioned-hybrid CORDIC algorithm, and a dynamic range transformation module based on the improved scale-free CORDIC algorithm, according to the characteristics of the three stages of radial artery ultrasound signal processing.…”

Section: Introductionmentioning

confidence: 99%

The Ultrasound Signal Processing Based on High-Performance CORDIC Algorithm and Radial Artery Imaging Implementation

et al. 2023

View full text Add to dashboard Cite

The radial artery reflects the largest amount of physiological and pathological information about the human body. However, ultrasound signal processing involves a large number of complex functions, and traditional digital signal processing can hardly meet the requirements of real-time processing of ultrasound data. The research aims to improve computational accuracy and reduce the hardware complexity of ultrasound signal processing systems. Firstly, this paper proposes to apply the coordinate rotation digital computer (CORDIC) algorithm to the whole radial artery ultrasound signal processing, combines the signal processing characteristics of each sub-module, and designs the dynamic filtering module based on the radix-4 CORDIC algorithm, the quadrature demodulation module based on the partitioned-hybrid CORDIC algorithm, and the dynamic range transformation module based on the improved scale-free CORDIC algorithm. A digital radial artery ultrasound imaging system was then built to verify the accuracy of the three sub-modules. The simulation results show that the use of the high-performance CORDIC algorithm can improve the accuracy of data processing. This provides a new idea for the real-time processing of ultrasound signals. Finally, radial artery ultrasound data were collected from 20 volunteers using different probe scanning modes at three reference positions. The vessel diameter measurements were averaged to verify the reliability of the CORDIC algorithm for radial artery ultrasound imaging, which has practical application value for computer-aided clinical diagnosis.

show abstract

Section: Introductionmentioning

confidence: 99%