Addition units are widely used in many computational kernels of several error-tolerant
applications such as machine learning and signal, image, and video processing. Besides …

Approximate computing emerged as a design alternative to boost design efficiency by
leveraging the intrinsic error resiliency of many applications. Several error-resilient and …

Adder compressors (ACs) have been employed for several prominent computing datapaths
as multipliers, machine learning, discrete transforms, and filters. This brief investigates the …

The electric generator's functional performance suffers from harmonic distortions such as
first, second, and third-order. This work proposes a low power dissipation VLSI hardware …

Approximate computing has emerged as a design alternative to enhance design efficiency
by capitalizing on the inherent error resilience observed in numerous applications. Various …

Cubic operations are among the most used arithmetic operations in many applications that
demand higher order simultaneous operand computation, such as cryptography and bicubic …

Cubic operations are among the most used arithmetic operations in many applications that
demand higher order simultaneous operand computation, such as cryptography and bicubic …

Approximate computing attempts to maximize area and energy savings for a trade-off
between quality and efficiency. This paper investigates the approximate squarer and divider …

Addition units are present across many computational kernels inherent in various error-
tolerant applications, including machine learning, signal, image, and video processing …

An approximate parallel prefix adder is a type of circuit that can perform addition operations
on binary numbers with extremely high speed, low latency, and much less power …