To increase productivity in designing digital hardware components, high-level synthesis
(HLS) is seen as the next step in raising the design abstraction level. However, the quality of …

The model predictive control (MPC) has its superiorities in simple algorithm and exceptional
dynamic performance. However, the mismatch of the model parameters will strongly affect …

This paper presents a survey on embedded systems design and applications. Several
platforms for embedded systems, including microcontrollers, microprocessors, field …

A Bilateral filter (BF) is a kind of edge-preserving filter, which is mostly used in computer
vision, computational photography, and image processing applications. Recently …

The Levenberg-Marquardt (LM) algorithm is a nonlinear parameter learning algorithm that
converges accurately and quickly. This paper demonstrates for the first time to our …

The sequential partial-update least mean square (S-LMS)-based algorithms are efficient
methods for reducing the arithmetic complexity in adaptive system identification and other …

The constrained least mean square algorithm is extensively used for adaptive filtering
applications which need to satisfy a set of linear constraints. However, it is not robust when …

Spline nonlinear adaptive filters are well known for their ability to efficiently model nonlinear
systems while having low computational complexity. However, the performance of traditional …

In this paper, a detailed description of a synchronous field-programmable gate array
implementation of a bilateral filter for image processing is given. The bilateral filter is chosen …

This paper presents a new approach for cutting force denoising in micro-milling condition
monitoring. In micro-milling, the comparatively small cutting force signal is contaminated by …