Area and energy-efficient approximate distributive arithmetic architecture for LMS adaptive FIR filter
CS Vinitha, RK Sharma - 2020 International Conference for …, 2020 - ieeexplore.ieee.org
A novel approximate DA architecture is proposed for adaptive FIR filter. LMS algorithm is
used to update the weights of the filter. In this architecture we combined the CSD number …
used to update the weights of the filter. In this architecture we combined the CSD number …
An analytical framework and approximation strategy for efficient implementation of distributed arithmetic-based inner-product architectures
Distributed arithmetic (DA)-based approximate structures are used for efficient
implementation of inner-products in various error-resilient applications. In the existing …
implementation of inner-products in various error-resilient applications. In the existing …
FPAD: a multistage approximation methodology for designing floating point approximate dividers
Approximate computing has emerged as a unique proposition for error-resilient applications
such as image/video processing, neural networks, and the like, where both performance and …
such as image/video processing, neural networks, and the like, where both performance and …
SEDAAF: FPGA based single exact dual approximate adders for approximate processors
Approximate circuits for ASICs have gained immense traction in recent years due to the
benefits obtained in both energy and performance with little or no loss in output quality …
benefits obtained in both energy and performance with little or no loss in output quality …
A power–performance partitioning approach for low‐power DA‐based FIR filter design with emphasis on datapath and controller
SF Ghamkhari… - International Journal of …, 2022 - Wiley Online Library
Distributed arithmetic (DA) is an efficient way to implement sum‐of‐product units, which can
be used in applications such as FIR filters, filter banks, image processing, and convolutional …
be used in applications such as FIR filters, filter banks, image processing, and convolutional …