| Title | Current-Mode CMOS Multifunctional Circuits for Analog Signal Processing |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Popa, Cosmin Radu |
| Conference Name | 2022 International Conference on Microelectronics (ICM) |
| Date Published | dec |
| Keywords | Accuracy, analog signal processing, Costs, exponentiation, functional core, human factors, linearity, Low voltage, Monte Carlo methods, multifunctional structures, Power demand, pubcrawl, resilience, Resiliency, Scalability, Signal processing, Silicon, Synthesizers |
| Abstract | The paper introduces and develops the new concept of current-mode multifunctional circuit, a computational structure that is able to implement, using the same functional core, a multitude of circuit functions: amplifying, squaring, square-rooting, multiplying, exponentiation or generation of any continuous mathematical function. As a single core computes a large number of circuit functions, the original approach of analog signal processing from the perspective of multifunctional structures presents the important advantages of a much smaller power consumption and design costs per implemented function comparing with classical designs. The current-mode operation, associated with the original concrete implementation of the proposed structure increase the accuracy of computed functions and the frequency behaviour of the designed circuit. Additionally, the temperature-caused errors are almost removed by specific design techniques. It will be also shown a new method for third-order approximating the exponential function using an original approximation function. A generalization of this method will represent the functional basis for realizing an improved accuracy function synthesizer circuit with a simple implementation in CMOS technology. The proposed circuits are compatible with low-power low voltage operations. |
| DOI | 10.1109/ICM56065.2022.10005512 |
| Citation Key | popa_current-mode_2022 |
Current-Mode CMOS Multifunctional Circuits for Analog Signal Processing