Human Activity Recognition requires very high accuracy to be effectively employed into
practical applications, ranging from elderly care to microsurgical devices. The highest …

The intervention of noise into images during data acquisition and transmission is inevitable.
Hence, the denoising of such affected images is essential in order to have effective image …

Two-dimensional convolution plays a fundamental role in different image processing
applications. Image convolving with different kernel sizes enriches the overall performance …

This brief proposes a new approach based on a tiny neural network to convert Pulse Density
Modulation (PDM) signals acquired from digital Micro-Electro-Mechanical System (MEMS) …

MEMS pressure sensors are widely used in several application fields, such as industrial,
medical, automotive, etc, where they are required to be increasingly accurate and reliable …

An ultra low power hardware implementation of Human Activity Recognition systems
imposes very tight constraints. Therefore it requires a very thoughtful balancing between …

Convolution widely has been used as the main part of the improvement in digital image
processing applications. In convolutional computations, a large number of memory accesses …

This work proposes an analytical design procedure for a particular class of 2D filters, namely
anisotropic Gaussian FIR filters. The design is achieved in the frequency domain and starts …

In this paper we propose a novel method to implement Space Vector Pulse Width
Modulation algorithm in Field Programmable Gate Array hardware. It is based on storing pre …

Convolution filtering is one of the most important algorithms in image processing. It is data-
intensive, especially when dealing with high-definition images. Most previous studies on …