Name
Title | ||
|---|---|---|
A digital-circuit-based evolutionary-computation algorithm for time-interleaved ADC background calibration |
Abstract | ||
|---|---|---|
Evolutionary computation, learning theory, neural networks, and fuzzy logic, are just few of the disciplines known as computational intelligence. In today's science and technology, computational intelligence techniques are widely used. They make use of computers' storage-and-speed abilities to address complex mathematical problems, which are difficult to be solved by conventional mathematical reasoning. In this paper, we introduce the design of a complex digital system implementing an evolutionary-computation algorithm to calibrate the mismatches affecting the performance of a time-interleaved Analog-to-Digital converter (TIADC). An error function (EF) is devised by modeling the three main issues limiting time-interleaved ADC performance: gain mismatches, offset mismatches and timing skews. The digital system is implemented on a Field-Programmable-Gate-Array (FPGA) and its digital logic and functionalities are tested by matching its simulation results against a Verilog-A behavioral model of the complete TIADC. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/SOCC.2016.7905422 | 2016 29th IEEE International System-on-Chip Conference (SOCC) |
Keywords | Field | DocType |
digital-circuit-based evolutionary-computation algorithm,time-interleaved ADC background calibration,learning theory,neural networks,fuzzy logic,computational intelligence techniques,computer storage-and-speed ability,complex mathematical problems,mathematical reasoning,complex digital system design,time-interleaved analog-to-digital converter,TIADC,error function,gain mismatches,offset mismatches,timing skews,field-programmable-gate-array,FPGA,digital logic,Verilog-A behavioral model | Digital electronics,Algorithm design,Computational intelligence,Computer science,Fuzzy logic,Behavioral modeling,Field-programmable gate array,Evolutionary computation,Algorithm,Electronic engineering,Artificial neural network | Conference |
ISBN | Citations | PageRank |
978-1-5090-1368-5 | 1 | 0.37 |
References | Authors | |
3 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dadian Zhou | 1 | 2 | 1.10 |
| Talarico, C. | 2 | 6 | 5.54 |
| Jose Silva-Martinez | 3 | 630 | 86.56 |