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Conditional Averaging a New Algorithm for Digital Filter

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ACEEE International Journal on Signal & Image Processing, 1 (3): 5 (декабря 2010)

Аннотация

This paper aims at designing a new algorithm for digital filters. The traditional methods like FIR, IIR have been improved in recent times with new approaches. However, the developments have used complex arithmetic calculation and dedicated DSP processors. In this research project, effort has been made to reduce such complexities using a procedure based on the technique of Conditional Averaging. The entire algorithm is developed using more of conditional statements and less of arithmetic calculations. Digital signals are filtered at different stages of signal processing. However high speed processor is used for different calculations associated with filtration process. An averaging is one such scheme used in simple FIR filter, which performs low pass filtering operation. Conditional Averaging is a new technique, which is one of the improvements in continuous time averaging. Conditional Averaging algorithm is explained in this practice with different examples for the design of low pass filter. This algorithm has been successfully tested using digital starter kit with TMS3206416v DSP processor. Using code composer studio, the entire algorithm is written in C/C++ language and compiled into an assembly language. Conditional averaging can be implemented with any general purpose processor to arrive at other types of filters with certain necessary modifications.

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