Real-time Processing Speed Research Articles

A real-time ultrasound time-domain correlation blood flowmeter. II. Performance and experimental verification

For Part I, see ibid., vol.40, no.6, p.768-775 (1993). The performance of a real-time ultrasound time-domain correlation (UTDC) flowmeter employing a high-speed residue number system correlator under various flow conditions for different correlation parameter settings is evaluated. Previous work has incorporated a weighted-averaging scheme to estimate the flow velocity over a wide number of echo signal spacings. The present evaluation indicates that a linear averaging of 50 adjacent echo signal pairs produces equivalent accuracy and precision at real-time processing speed as compared to previous non-real time systems incorporating weighted averaging.

Automatic test design system for digital electronic equipment

Design of digital equipment must include development of tests for checking the absence of faults in the manufactured or utilized equipment and for locating faults in equipment being repaired. The efficiency of diagnostic data processing depends not only on the number of check points and on the complexity of mathematical descriptions used in diagnosis, but also on the properties of diagnostic facilities proper, their operating speed, memory capacity, and data processing algorithms employed. Thus, besides devising new and improving known diagnostic data processing methods, it is important to develop computing architectures, software, and organization methods for increasing the speed of real-time data processing [2].

Hough transform using Cordic method

The purpose of the letter is to demonstrate the usefulness of the Cordic algorithm for implementation of image processing algorithms in dedicated hardware to achieve near real-time processing speed. The Cordic algorithm will be discussed, and also its application for line and circle detection as well as for arbitrary shapes using Hough transforms.

VLSI Array processors

High speed signal processing depends critically on parallel processor technology. In most applications, general-purpose parallel computers cannot offer satisfactory real-time processing speed due to severe system overhead. Therefore, for real-time digital signal processing (DSP) systems, special-purpose array processors have become the only appealing alternative. In designing or using such array Processors, most signal processing algorithms share the critical attributes of regularity, recursiveness, and local communication. These properties are effectively exploited in innovative systolic and wavefront array processors. These arrays maximize the strength of very large scale integration (VLSI) in terms of intensive and pipelined computing, and yet circumvent its main limitation on communication. The application domain of such array processors covers a very broad range, including digital filtering, spectrum estimation, adaptive array processing, image/vision processing, and seismic and tomographic signal processing, This article provides a general overview of VLSI array processors and a unified treatment from algorithm, architecture, and application perspectives.

System Design for Real-time Image Processing Based on Multi-core DSP

In the process of real time image processing, the amount of image processing computing and data is very large, the use of single core or a single DSP can not meet the needs of real-time image processing. This paper designs the new generation multi-core DSP real-time image processing system, the system is a multi-core high performance DSP as the core circuit, and also uses FPGA counterweight device, high-speed data interface and high-speed external memory, to improve the data cache speed and data bandwidth, and the system satisfies the design of low loss and high computational performance. In order to verify the validity and reliability of the system, this paper uses the Hyper Lynx software to carry on the simulation test for the system, and sets the IP and sub net mask of image real time processing to obtain the eye and timing diagram of real-time image processing. Finally, the system image processing performance results can be obtained by the joint debugging, the simulation test results can be seen that the speed of real-time image processing is quick, and the rate of correct recognition is high, which can satisfy the need of real-time image processing, to provide the technical reference for the design of real time image processing system