scholarly journals Fixed-Point Arithmetic Unit with a Scaling Mechanism for FPGA-Based Embedded Systems

Electronics ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 1164
Author(s):  
Andrzej Przybył

The work describes the new architecture of a fixed-point arithmetic unit. It is based on the use of integer arithmetic operations for which the information about the scale of the processed numbers is contained in the binary code of the arithmetic instruction being executed. Therefore, this approach is different from the typical way of implementing fixed-point operations on standard processors. The presented solution is also significantly different from the one used in floating-point arithmetic, as the decision to determine the appropriate scale is made at the stage of compiling the code and not during its execution. As a result, the real-time processing of real numbers is simplified and, therefore, faster. The described method provides a better ratio of the processing efficiency to the complexity of the digital system than other methods. In particular, the advantage of using the described method in FPGA-based embedded control systems should be indicated. Experimental tests on an industrial servo-drive confirm the correctness of the described solution.

2020 ◽  
Author(s):  
Premganesh Sugumaran ◽  
Siti Zarina Md Naziri ◽  
Rizalafande Che Ismail

1990 ◽  
Vol 2 (3) ◽  
pp. 363-373 ◽  
Author(s):  
Paul W. Hollis ◽  
John S. Harper ◽  
John J. Paulos

This paper presents a study of precision constraints imposed by a hybrid chip architecture with analog neurons and digital backpropagation calculations. Conversions between the analog and digital domains and weight storage restrictions impose precision limits on both analog and digital calculations. It is shown through simulations that a learning system of this nature can be implemented in spite of limited resolution in the analog circuits and using fixed point arithmetic to implement the backpropagation algorithm.


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