High-speed system bus for a SoC network processing platform

Author(s):  
J.P. Bissou ◽  
M. Dubois ◽  
Y. Savaria ◽  
G. Bois
2014 ◽  
Vol 971-973 ◽  
pp. 1454-1458
Author(s):  
Lei Qu ◽  
Yan Tian ◽  
Jun Liu

For real time target detection, identification and tracking in high frame rates, large field of view images, a real-time image processing system is designed. A TMS320C6678 DSP runs as the chief arithmetic processor of this system and FPGA as the secondary controller. C6678 is compared with the same series C6414 in image compression algorithm test. Experimental results show that the new system has a more effective construct, and higher reliability, and can provide a platform for the new high-speed image processing.


Sensors ◽  
2020 ◽  
Vol 20 (8) ◽  
pp. 2266
Author(s):  
Yaodong Han ◽  
Kai Ni ◽  
Xinghui Li ◽  
Guanhao Wu ◽  
Kangning Yu ◽  
...  

Among various nanometer-level displacement measurement methods, grating interferometry-based linear encoders are widely used due to their high robustness, relatively low cost, and compactness. One trend of grating encoders is multi-axis measurement capability for simultaneous precision positioning and small order error motion measurement. However, due to both lack of suitable hardware data processing platform and of a real-time displacement calculation system, meeting the requirements of real-time data processing while maintaining the nanometer order resolutions on all these axes is a challenge. To solve above-mentioned problem, in this paper we introduce a design and experimental validation of a field programmable gate array (FPGA)-cored real-time data processing platform for grating encoders. This platform includes the following functions. First, a front-end photodetector and I/V conversion analog circuit are used to realize basic analog signal filtering, while an eight-channel parallel, 16-bit precision, 200 kSPS maximum acquisition rate Analog-to-digital (ADC) is used to obtain digital signals that are easy to process. Then, an FPGA-based digital signal processing platform is implemented, which can calculate the displacement values corresponding to the phase subdivision signals in parallel and in real time at high speed. Finally, the displacement result is transferred by USB2.0 to the PC in real time through an Universal Asynchronous Receiver/Transmitter (UART) serial port to form a complete real-time displacement calculation system. The experimental results show that the system achieves real-time data processing and displacement result display while meeting the high accuracy of traditional offline data solution methods, which demonstrates the industrial potential and practicality of our absolute two-dimensional grating scale displacement measurement system.


Author(s):  
Hiroyuki Uzawa ◽  
Kazuhiko Terada ◽  
Namiko Ikeda ◽  
Satoshi Shigematsu

2013 ◽  
Vol 457-458 ◽  
pp. 1272-1277
Author(s):  
Yu Chen ◽  
Yan Xin Yu ◽  
Ting Zhao

Accounting for the problems of dynamic infrared point targets are difficult to detect accurately and to track in complex background, the single-frame image background suppression by the high-pass filtering and binary processing. Then it uses unscented Kalman filter (UKF) method to get the predicted target trajectory and achieves a precise target tracking. According to the proposed detection and tracking algorithm of motion infrared point target, this paper designs and implements a system of high speed real-time image processing platform based on DSP+FPGA structure. Test results show that when the target is in the interference condition, tracking can still be stabilized, its processing time is about 9.2ms per frame to meet real-time requirements.


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