Therefore, it is recommended that concentrated efforts should be expedited toward building generic modular stack-based systems or blocks for the mathematical, programming and hardware representations of each stack layering type to serve in reducing tremendously any repetitive research efforts in future handling of similar or analogous problems of real life systems.
While for software models the concept of monitors is quite straightforward, the observation of internal nodes is more involved for hardware design representations which require dedicated infrastructure to provide access to these nodes (see Section 4.3).
This process is the translation of a behavioral hardware description language representation into the low level bits that are programmed onto the hardware device.
The multiplier employs polynomial bases which results in more flexibility in hardware than other representations.
Indeed, such a verification is very important and must be included in the tool set, since it aids in determining the tradeoff among filter property conformance, fixed-point representation, and hardware requirements.
The number of floating point operations (flops) needed to implement these complex operations varies greatly according to the used hardware and complex number representation (i.e., polar or Cartesian).
Differently from Cox et al. [20, 21], in which time constraint verifications are not supported, the proposed approach uses filter models for verifying the maximum acceptable time for filter operations, in order to tradeoff among filter property conformance, fixed-point representation, and hardware requirements.
The neuromorphic hardware interface Address-Event-Representation (AER) is used to propagate auditory information out of the NAS, emulating the auditory vestibular nerve.
