This article presents a piecewise linear approximation computation (PLAC) method for all
nonlinear unary functions, which is an enhanced universal and error-flattened piecewise …

Transcendental functions are commonly used in many fields such as nonlinear functions of
artificial neural networks (ANNs). Due to nonlinearity of these functions, hardware …

The small floating-point (SFP) multiplier proposed by Xilinx is utilized to implement the
convolution neural networks (CNNs). This scheme can balance the resource usage of look …

Adaptive exponential functional link network (AEFLN) is a recently developed linear-in-the-
parameters nonlinear adaptive filter. It has been observed that the convergence …

In this article, we propose a multiplierless piecewise linear (PWL) approximation
computation (ML-PLAC) method for nonlinear unary functions. ML-PLAC seeks the minimum …

In this brief, we propose a logarithmic converter for floating-point numbers based on the
piecewise linear (PWL) approximation method. The proposed method is applicable to any …

A dual-channel multiplier (DCM) for energy efficient second-order piecewise-polynomial
function evaluation for 3-D graphics applications is presented in this paper. The …

Recently, the nearest Kronecker product (NKP) decomposition has become popular in
several adaptive filtering (AF) applications owing to its fast convergence and tracking ability …

Featured Application Data analysis and processing system, Neural network system,
Accelerator and Coprocessor. Abstract In this paper, we propose an optimized method for …

This brief utilizes the logarithmic number system (LNS) to realize the half-precision division
(DIV), square root (SR), and inverse SR (ISR) that are widely used in both the error …