This paper reviews the past and the recent research on Adaptive Filter algorithms based on
adaptive noise cancellation systems. In many applications of noise cancellation, the change …

Finite impulse response (FIR) filter is an influential block in various signal processing
applications. The complexities in VLSI implementation of FIR filters is dominated by the …

Transpose form finite-impulse response (FIR) filters are inherently pipelined and support
multiple constant multiplications (MCM) technique that results in significant saving of …

In this paper, a fixed-point finite impulse response adaptive filter is proposed using
approximate distributed arithmetic (DA) circuits. In this design, the radix-8 Booth algorithm is …

Extracting the Electrocardiogram (ECG) of a fetus from the ECG signal of the maternal
abdomen is a challenging task due to different artifacts. The paper proposes a-tap non …

Digital signal processing (DSP) systems are becoming popular with the emergence of
artificial intelligence and machine learning based applications. Residue number system is …

This paper presents three optimal-complexity structures (I, II, III) for pipelined distributed
arithmetic (DA) based least-mean-square (LMS) adaptive filter. The complexity of proposed …

In this paper, we have analyzed the register complexity of direct-form and transpose-form
structures of FIR filter and explored the possibility of register reuse. We find that direct-form …

Nowadays, Finite Impulse Response (FIR) filters are used to change the attributes of a
signal in the time or frequency domain. Among FIR filters, a reconfigurable filter has the …

Finite impulse response (FIR) filters are explicitly used in decisive applications such as
communication and signal processing areas. Advancement in the latest technologies …