Title :
New methods for computing interpolation and decimation using polyphase decomposition
Author_Institution :
GTDG/CGISS, Motorola Inc., Plantation, FL, USA
fDate :
11/1/1999 12:00:00 AM
Abstract :
There are many applications in communication systems where the sampling rate must be changed. Interpolators and decimators are utilized to increase or decrease the sampling rate. Computationally efficient implementation of interpolators and decimators employ polyphase decomposition. In this work, the authors present new methods for performing decimation or interpolations similar to the way numbers are multiplied on paper. Their proposed methods are easy to learn and compute and can be incorporated into digital signal processing (DSP) courses that deal with multirate filters
Keywords :
educational courses; filtering theory; filters; interpolation; signal processing; telecommunication engineering education; communication systems; decimation; digital signal processing courses; education; interpolation; multirate filters; polyphase decomposition; sampling rate; Digital filters; Digital signal processing; Image sampling; Interpolation; Low pass filters; Sampling methods; Signal sampling;
Journal_Title :
Education, IEEE Transactions on