Abstract

 


 



VLSI Implementation of Cascaded Integrator Comb Filters for DSP Applications


Rozita Teymourzadeh


UCSI University

Masuri Othman


affiliation not provided to SSRN

July 15, 2006

4th National Technical Postgraduate Symposium, TechPos 2006. Faculty of Engineering, University of Malaya, Malaysia, pp. 54-58

Abstract:     
The recursive comb filters or Cascaded Integrator Comb filter (CIC) are commonly used as decimators for the sigma delta modulators. This paper presents the VLSI implementation, analysis and design of high speed CIC filters which are based on a low-pass filter. These filters are used in the signal decimation which has the effect on reducing the sampling rate. It is also chosen because its attractive property of both low power and low complexity since it dose not required a multiplier. Simulink toolbox available in Matlab software which is used to simulator and Verilog HDL coding help to verify the functionality of the CIC filters. Design procedures and examples are given for CIC filter with emphasis on frequency response, transfer function and register width. The implementation results show using Modified Carry Look-ahead Adder for summation and also apply pipelined filter structure enhanced high speed and make it more compatible for DSP applications.

Number of Pages in PDF File: 5

Keywords: CIC, sigma delta, decimation, comb, recursive, truncation, MCLA

JEL Classification: F14,L,O14

Accepted Paper Series


Download This Paper

Date posted: July 16, 2012 ; Last revised: July 17, 2012

Suggested Citation

Teymourzadeh, Rozita and Othman, Masuri, VLSI Implementation of Cascaded Integrator Comb Filters for DSP Applications (July 15, 2006). 4th National Technical Postgraduate Symposium, TechPos 2006. Faculty of Engineering, University of Malaya, Malaysia, pp. 54-58. Available at SSRN: http://ssrn.com/abstract=2107249

Contact Information

Rozita Teymourzadeh (Contact Author)
UCSI University ( email )
Malaysia
Masuri Othman
affiliation not provided to SSRN ( email )
Feedback to SSRN (Beta)


Paper statistics
Abstract Views: 105
Downloads: 21

© 2013 Social Science Electronic Publishing, Inc. All Rights Reserved.  FAQ   Terms of Use   Privacy Policy   Copyright
This page was processed by apollo8 in 0.265 seconds