This paper presents a low-cost implementation of the sound-based localization method proposed in Halupka et al. [11].
The paper ends with the test of a low-cost implementation of the complete system under real center-pivot operation.
The parallel software has been tested on a low-cost implementation of a parallel architecture made up of a Linux cluster (Beowulf).
The proposed design is a low-cost implementation of an I-V tracer capable of producing a number of traces automatically within a fraction of second.
Alternatives to the zero-cost implementation highlighted above include a low-cost implementation.
Hence the low circuit complexity of the proposed architecture allows for a low-cost implementation.
Later, Corsonello et al.[29] proposed a low-cost implementation of NLS in order to improve the coding speed.
WZ video coding departs from the WZ theorem[3] on source coding with Side Information (SI) available only at the decoder, which is known to be a technique used to reduce the processing complexity of the encoder, leading to a low-cost implementation, while the majority of the computations are taken over by the decoder.
The pattern used within blocks is the vital facet for a low-cost implementation of the interconnection network of the decoder and can be based either on permutations, as in [6] and for the class of -rotation codes [17], or on circulants or cyclic shifts of the identity matrix, as in [8] and in every recent standards [1 3].
The resulting architecture aims at achieving optimal performance in terms of low-distortion and high power efficiency while still allowing a low-cost implementation: all the digital processing part integrated in a single device, for example, a low-complexity FPGA, plus off-chip components only for the power stage, made up of a MOS H-bridge and an LC filter but without any heat sink.
Finally, an efficient low cost implementation of our new algorithm using partial update adaptation is presented and evaluated.
