MULTICHANNEL DATA ACQUISITION SYSTEM USING MULTIRATE SIGNAL PROCESSING

Acquisition is an essential building block in almost any real life data processing. In acquisition it is key target to keep aliasing low often dictates the use of a complex analog anti-aliasing filter. In case of multichannel system, each channel must be fitted with a separate anti-aliasing filter as such filter cannot be multiplexed but this exercise becomes expensive. In this paper the cost optimized structure for multiple channel data acquisition system is proposed, the cost optimization achieved by using multistage decimation. The MATLAB simulation has been used to evaluate proposed model and in result cost reduced by 53.27% when (M= 16*2) has been used instead of M= 32. The cost has been further reduced by 69% for combination of M=(8*4), Key targets are filter length reduction and aliasing. Finite-impulse-response (FIR) has been used for implementation of idea.