In this paper, a novel SD-CNN with the oversampling technique for an analogue DC input is proposed. Experimental results of various standard test images in ...

Abstract— The sigma-delta cellular neural network (SD-CNN) is a novel framework of spatial domain sigma-delta modulation utilizing neuro dynamics.

Experimental results of various standard test images in several oversampling ratios suggest that the proposed oversamplings SD-CNN has an excellent AD and ...

The sigma-delta cellular neural network (SD-CNN) is a novel framework of spatial domain sigma-delta modulation utilizing neuro dynamics.

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Bibliographic details on An oversampling 2D sigma-delta converter by cellular neural networks.

The sigma–delta modulation (Candy & Temes, 1992) is a widely used and well-known technique for converting analog signals into pulse digital sequences. One ...

An Oversampling 2D Sigma-Delta Converter by Cellular Neural Networks. 2010 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS. Hisashi Aomori; ,; Tsuyoshi ...

An oversampling 2D sigma-delta converter by cellular neural networks. Conference Paper. May 2010. Hisashi Aomori · Tsuyoshi Otake ...

This paper proposes a fast-transient over-sampled adaptive switching DC-DC converter. The converter employs a delta-sigma (ΔΣ) modulator to perform noise ...