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European Conference on Circuit Theory and Design
... Thus, in the NEF ADC, the exponential kernel is applied on the weighted spike summation as computed for each time step, thus simplifying the digital processing. This also eliminates the need for dedicated analog PSC circuits (Noack et al., 2011). The output k(t) of this exponentially decaying sum is the digital transformation of the analog value, i.e., the ADC output. ...
Efficient Analog-Digital Converters (ADC) are one of the mainstays of mixed-signal integrated circuit design. Besides the conventional ADCs used in mainstream ICs, there have been various attempts in the past to utilize neuromorphic networks to accomplish an efficient crossing between analog and digital domains, i.e., to build neurally inspired ADCs. Generally, these have suffered from the same problems as conventional ADCs, that is they require high-precision, handcrafted analog circuits and are thus not technology portable. In this paper, we present an ADC based on the Neural Engineering Framework (NEF). It carries out a large fraction of the overall ADC process in the digital domain, i.e., it is easily portable across technologies. The analog-digital conversion takes full advantage of the high degree of parallelism inherent in neuromorphic networks, making for a very scalable ADC. In addition, it has a number of features not commonly found in conventional ADCs, such as a runtime reconfigurability of the ADC sampling rate, resolution and transfer characteristic.
The paper considers general sensitivity analysis and dynamic range of quad filters. The use of quad structures in the design of symmetrical and/or unsymmetrical active filters is studied from the sensitivity and dynamic range points of view and these are compared with other design methods. Determination of gain constants of biquadratic blocks either according to overloading or noise immunity or both for quad realization are also considered. It is shown that, especially for symmetrical transfer functions, the design equations are simple and that the sensitivity performance is as good as the FLF and LF configurations and better than GFLF. Furthermore, it is shown with an example that quad realization also yields better dynamic range as compared to GFLF.
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