The identification of QRS complexes in real-time is crucial for both clinical and non-clinical
applications, especially when constrained by low computational complexity. However, the …

Abstract The design of (1+ α) order, 0< α< 1, low pass Butterworth filter approximated in
terms of an integer order continuous-time transfer function using a nature-inspired …

This paper presents an efficient infinite impulse response type digital fractional order
differentiator (DFOD) based electrocardiogram (ECG) pre-processor to detect QRS …

In this paper, six optimal fractional-order transfer functions (FOTF) to approximate the
magnitude characteristics of a fractional-order highpass Butterworth filter (FHBF) are …

In this paper, a recently proposed metaheuristic optimization technique called hybrid flower
pollination algorithm (HFPA) is applied to design wideband infinite impulse response digital …

This paper developed a new and efficient approach, the metaheuristic optimisation
approach based on the Kalman filter (KF), to accurately identify the infinite impulse response …

This study proposes a heuristic approach for designing highly efficient, infinite impulse
response (IIR) type Digital First‐Order Differentiator (DFOD) by employing a nature‐inspired …

Optimal design of digital rational approximations with α‐dependant coefficients to model the
fractional order integrator of any arbitrary order α, where α ε (0, 1), is presented in this work …

This paper deals with the design and FPGA implementation of a fractional order digital
differentiator. It is realized using computationally efficient lattice wave digital filter (LWDF) …

This study presents a new approach to design fractional‐order low‐pass Butterworth filters
(FOLPBF) in terms of integer‐order rational approximations meeting an accurate magnitude …