The Fir Digital Filter Design based on Iwpso

While comparing the performance results, it is found that the speed of the operation is increased in accumulator based Radix-4 multiplier by reducing the partial products

Approach: Non-Dominated Sorting Particle Swarm Optimization algorithm (NSPSO) based approach is used in the design of multiobjective PID controller to find the constant

response (FIR) filter is placed next to a matched filter pulse [3] and the filter is implemented via two approaches: Least Mean Square (LMS) and RLS algorithms. Kwan and Lee [4] used

A 16 tap digital band pass FIR filter is designed for each design technique (Kaiser and Hamming) and implemented over FPGA.. The Simulink model of the filter confirms the correctness

Optimal Design of Double Folded Stub Microstrip Filter by Neural Network Modelling and Particle..

A finite impulse response FIR filter whose impulse response corresponds to the transmitted PN sequence reversed in time, i.e., a filter matched to the test signal, is used in

Popular optimization techniques, as genetic algorithm (GA) and particle swarm optimization (PSO), were used to design the shape of the ground plane in order to improve

It is also based on a particle filter, but differently from the algorithm proposed in the previous section, the particles are weighted based on the matching of the sensor data and