The design of FIR multi notch filter (NF) has been evolved from IIR NF. Mathematical formulas to compute the coefficients of impulse response h(m) for the proposed design has been given. Rejection bandwidth can be controlled by varying ‘r’, the pole length of the prototype IIR NF. Special case of notches at ?1 and ?2 with the condition [cos?1.cos?2 = ? 1/2] leads to half the coefficients h(m) as zeros, resulting in an efficient multi notch filter design.

This paper presents a new technique for model order reduction with dominant eigenvalue preservation. The new method is formulated based on the prediction of an artificial neural network along with the linear matrix inequality optimization technique. Utilising the non-projection state residualization technique, a reduced model order is obtained. Results' comparison with well-known techniques such as Schur decomposition, proper orthogonal decomposition, and state elimination through balanced realization shows the superiority of the new method.

In this paper voltage-mode electronically tunable biquad filter is proposed. Circuit, non-ideal and sensitivity analyses are calculated. Proposed biquad filter a simulation using PSPICE simulation with TSMC CMOS 0.35?µm process model parameters was performed and the simulation results show that filter characteristics are in good agreement with the predicted theory.