A Novel CMOS Ripple Comparator Cell Using the Gate-Diffusion Input Technique

Majlesi Journal of Electrical Engineering

مقاله 8، دوره 3، شماره 4، خرداد 2009، صفحه 66-71   

نوع مقاله: Review Article

شناسه دیجیتال (DOI): 10.1234/mjee.v3i4.127

نویسندگان

Azadeh Kiani^* ؛ Fereshteh Pourahangaryan؛ Rahebeh NiarakiAsl

چکیده

In this paper a new implementation of CMOS ripple comparator cell using the Gate-Diffusion Input (GDI) technique is presented. The proposed design using this technique allows for the reduction of power consumption, propagation delay, and the area of digital circuits while maintaining low complexity of logical design. The performance comparison with standard CMOS and GDI logic design techniques is presented. These methods are compared with respect to the number of devices, PDP, and power dissipation. Simulation results confirm that the proposed cell can work at low supply voltage and dissipates low power.

کلیدواژه‌ها

Ripple Comparator؛ en؛ Propagation Delay؛ low-power؛ PDP؛ GDI

مراجع

[1] Niki N, Kawata Y, Sato H, Kumazaki T; “3d

imaging of blood vessels using x-ray

rotational angiographic system”, IEEE Med.

Imaging Conf. Vol. 3, pp. 1873–1877, 1993.

[2] Nekovei N, Sun Y; “Back-propagation

network and its configuration for blood

vessel detection in angiograms”, IEEE

Trans. on Neural Nets, Vol. 6, pp. 64–72,

January 1995.

[3] Chanwimaluang T, Fan G; “An efficient

blood vessel detection algorithm for retinal

images using local entropy thresholding”,

In Proc. of the IEEE Intl. Symp. on Circuits

and Systems,2003.

[4] Molina C, Prause G, Radeva P, Sonka M; “3-

d catheter path reconstruction from

biplane angiograms”, in SPIE, Vol. 3338,

pp. 504–512, 1998.

[5] Klein A. K, Lee F, Amini A. A;

“Quantitative coronary angiography with

deformable spline models”, IEEE Trans. on

Med. Img. , Vol. 16, pp. 468–482, October

1997.

[6] Klein A, Egglin T. K, Pollak J. S, Lee F

,Amini A; “Identifying vascular features

with orientation specific filters and b-spline

snakes”, in IEEE Computers in Cardiology,

pp. 113–116, 1994.

[7] Gonzalez R. C, Woods R. E, Digital Image

Processing, Pearson Education Publishing,

2002.

[8] Chaudhuri S, Chatterje S, Katz N, Nelson M,

GOLDBAUM M; “Detection of blood

vessels in retinal images using twodimensional

matched filter”, IEEE Trans

.Med .Imaging , Vol. 8, pp.263-269, 1989.

[9] Lin C. Y, Ching Y. T; “Extraction of

Coronary arterial tree using Cine X-ray

Angiograms”, Biomed Eng Appl Basis

Comm, 2005(June); 17: 111-120.

[10] kanade G. B, Savithri T. S, Subbaiah P. V;

“Segmentation of Vessels in Fundus Images

using Spatially Weighed Fuzzy C-means

Clustering Algorithm”, IJCSNS

International Journal of Computer Science and

Network Security, Vol. 7 No. 12, December

2007.