“…[12][13][14][15] For the past few decades, extensive research has been done in the field of designing of FD filters; see Laakso et al 16 and references therein. 28 Lee applied parallel and cascade connections of differentiator to make a trade-off between delay and memory required. [17][18][19][20][21][22] Farrow presents an FIR filter that implements the adjustable delay.…”
Section: Introductionmentioning
confidence: 99%
“…In addition, the proposed method has also been used for comb filter design. 28 Lee applied parallel and cascade connections of differentiator to make a trade-off between delay and memory required. 29 Blok and Sac presented an efficient method based on symmetric window for the design of variable FD filter.…”
“…[12][13][14][15] For the past few decades, extensive research has been done in the field of designing of FD filters; see Laakso et al 16 and references therein. 28 Lee applied parallel and cascade connections of differentiator to make a trade-off between delay and memory required. [17][18][19][20][21][22] Farrow presents an FIR filter that implements the adjustable delay.…”
Section: Introductionmentioning
confidence: 99%
“…In addition, the proposed method has also been used for comb filter design. 28 Lee applied parallel and cascade connections of differentiator to make a trade-off between delay and memory required. 29 Blok and Sac presented an efficient method based on symmetric window for the design of variable FD filter.…”
“…Many design techniques have been proposed for digital finite impulse response (FIR) and IIR filter type to approximate the ideal digital fractional delay transfer function of (1) [15][16][17][18][19][20][21][22]. Besides, fractional order system theory is a very growing subject by its applications in different areas of physics and engineering [23][24][25][26][27].…”
“…Estimation of parameters and orders have been investigated in [10,11] provide in brief the suitability of fractional order control for embedded applications and robustness of fractional order proportional-integral (PI)-derivative has been studied in [12]. Estimation and tracking of Hurst parameters [13][14][15], robustness, fractional order control for actuators faults identification, thermal systems control, electrocardiogram signals and tuning of PI controllers have been comprehensively studied in [16][17][18][19]. Reconstruction of multidimensional images using fractional Fourier domain techniques and of bandlimited signals from multiple channels using canonical transform domain have recently been studied in [20,21].…”
In this study, the authors modify the mapping function by introducing a non-linear term based on Riemann-L i o u v i l l ed e f i n i t i o no ff r a c t i o n a ld e r i v a t i v e sa n di t sa p p l i c a t i o nt ot h em e a ns q u a r e de r r o ri na d d i t i o nt ot h ef i r s to r d e r partial derivatives; thus create fractional variants of the least mean square (LMS) algorithm and its normalised version. The introduction of fractional term helps increase the convergence rate through the non-linear update term which depends on the fractional order and the in-process LMS weights; for steep gradient of the error measure, large changes are made to the weights which help the equaliser filter to better track the effects of multipath fading channels. They verify and validate the working of the proposed technique in the decision feedback equalisation of multipath fading channels for higher-order quadrature amplitude modulations; comparative results are shown in terms of performance metrics as symbol-error rate for various fractional orders and step sizes, combined equaliser and channel responses for different number of training symbols; simulations show that the proposed approach outperforms the conventional counterpart.
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