Invasive weed optimization-based optimally designed high-pass iir filter and its fpga implementation

Abstract

A meta-heuristic algorithm named as Invasive Weed Optimization (IWO) approach is considered in this paper for the design of infinite impulse response (IIR) high-pass filter (HPF) of order 8. This particular optimization technique is inspired by nature and it mainly depends on the colonizing characteristic feature of weeds. Unlike other optimization techniques, IWO converges fastly to the optimal solution and results in accurate solution parameters such as stopband attenuation, transition width, passband ripples (PBR), and stopband ripples (SBR). The optimally obtained coefficients are employed in the design of IIR HPF of order 8 which is realized in the Verilog hardware description language (HDL) and thus dumped on the field-programmable gate array (FPGA).