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The aim of fixed-point design is to optimize the fixed-point specification by minimizing the implementation cost.
In other words, the use of a metalanguage can considerably reduce the number of particular cases that the validator must handle, minimizing the implementation effort and the codification errors margin.
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In general, the data structure of the lookup table is optimized in order to minimize the implementation cost and maximize the lookup performance.
By solving an integer linear programming problem (ILPP), a set of optimal control places are obtained and the objective function is used to minimize the implementation cost of the final supervisor.
The aim of quantization and fixed-point arithmetic is to minimize the implementation cost.
SystemC data types were used in order to minimize the implementation size.
The aim is to find the fixed-point specification which minimizes the implementation cost and maintains a noise level lower than.
The objective is simultaneously to improve the inverter performance, e.g., robustness and grid current harmonics rejection, and to minimize the implementation cost.
(i) The length of the impulse response should be kept as small as possible to minimize the implementation cost and the propagation delay of the DSP part of the radio transceiver.
In order to improve the inverter performance as well as to minimize the implementation cost, current control strategies should exhibit a high robustness, require as few sensors as possible and have negligible impact on grid current distortion.
Thus for the fixed-point design, the aim is to obtain the fixed-point specification of the coder which minimizes the implementation cost and maintains an ODG lower or equal to −1 for the different audio tracks of the sample group.
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