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Hardware implementation of conventional interval type-2 neuro-fuzzy systems with on-chip learning is essential for real time applications.
However, the design process of such systems often ends in the implementation of conventional approaches and tools.
The implementation of conventional methods, such us the Decision Feedback Equalization (DFE), to estimate the intercarrier interference is not suitable for low cost DVB-SH terminals.
Difficulties with implementation of conventional staged ventilation control, and the proposed fuzzy inference technique, arise because of the discontinuous nature of these highly non-linear systems.
The vibration amplitudes resulting from such resonance cannot be fully controlled by conventional techniques, such as the addition of linear damping through velocity feedback or by the implementation of conventional mass absorbers.
The distributed space-time block codes can be viewed as the distributed implementation of conventional STBCs for cooperative communications.
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This technique can easily be applied to the existing implementations of conventional formulations, it requires negligible extra computational cost, and it is also appropriate for the solution of large problems with the multilevel fast multipole algorithm.
Although the method is specifically targeted at increasing the life and operating range of aerospike nozzles, this paper describes its proof-of-concept implementation on conventional nozzles.
This paper presents an implementation of a conventional 256 × 256 CMOS image sensor (CIS) system with on-chip 12 bit, 6.3 MS/s CMOS pipelined analog-to-digital converter (ADC).
The majority (79%) of those who mentioned absence of a rangeland management system would support implementation of the conventional system in their area.
At first, some problems pertaining to the implementation of the conventional per-subcarrier antenna selection approach, including power imbalance across transmit antennas and noncausality of antenna selection criteria, are identified.
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