TY  - JOUR
AU  - Sharma, Feng
AU  - Hosseini, Marco
AU  - Schmidt, Deepak
TI  - Multiple Regression Analysis for Digital FIR Filters
JO  - Open Access Journal of Engineering Applications
PY  - 2012
VL  - 36
IS  - 1
SP  - 843
EP  - 848
AB  - Bangladesh, with its dense population and vulnerable infrastructure, faces particular difficulties with digital FIR filters in manufacturing processes. The model parameters were carefully calibrated against a set of field observations obtained from manufacturing processes. The peak displacement fell by almost 9% once the proposed device was installed. These findings provide useful guidance for engineers seeking cost-effective and reliable designs.
KW  - digital FIR filters
KW  - multiple regression analysis
KW  - renewable energy
KW  - induction motor
KW  - particle swarm optimization
KW  - adsorption
SN  - 3105-7004
DO  - 10.55555/oajea.2012.3601.046
UR  - https://journal.bsaps.com/article/8913
ER  -