New Delta Sigma Modulator Structure Using Second Order Filter in One Stage Technique
M. Dashtbayazi,
M. Sabaghi,
M. Rezaei,
S. Marjani
Issue:
Volume 2, Issue 6, December 2014
Pages:
82-88
Received:
18 December 2014
Accepted:
6 January 2015
Published:
14 January 2015
Abstract: In this paper, a new structure of delta sigma modulator has been proposed in which a second order filter in one stage technique has been taken into the account and a second order noise shaping method and a third order one have been designed by the proposed idea. In the proposed structure an OPAMP has been saved and since in a conventional delta sigma modulator OPAMPs consumes most of the power and takes very large area, the proposed idea causes less power consumption and also the chip area is minimized.
Abstract: In this paper, a new structure of delta sigma modulator has been proposed in which a second order filter in one stage technique has been taken into the account and a second order noise shaping method and a third order one have been designed by the proposed idea. In the proposed structure an OPAMP has been saved and since in a conventional delta sig...
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Embedded System for Speech Recognition and Image Processing
Zhengxi Wei,
Jinming Liang
Issue:
Volume 2, Issue 6, December 2014
Pages:
89-93
Received:
16 December 2014
Accepted:
23 December 2014
Published:
6 February 2015
Abstract: In recent years, the products of voice terminal and image retrieval show the intelligentized trend, but the mature commodities are rare in the market. This paper presents an embedded design method of intelligent voice terminal based on pattern recognition. The design adopts Samsung S3C2410 ARM as target board, Philips Uda1341TS as audio codec, embedded Linux OS as software platform, and speech recognition is implemented through small-vocabulary voice training. To improve the recognized effect, we use the image retrieval technology as an auxiliary tool, which helps speech recognition module create or more accurately find a personal voice-training library. By means of image recognition, the experimental results prove that the effect of speech recognition achieves an average increase of 10 percentages.
Abstract: In recent years, the products of voice terminal and image retrieval show the intelligentized trend, but the mature commodities are rare in the market. This paper presents an embedded design method of intelligent voice terminal based on pattern recognition. The design adopts Samsung S3C2410 ARM as target board, Philips Uda1341TS as audio codec, embe...
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