SPOD() is a Matlab implementation of the frequency domain form of proper orthogonal decomposition (POD, also known as principle component analysis or Karhunen-Loève decomposition) called spectral ...

Abstract: This paper demonstrates how the popular overlap-save (OS) fast convolution filtering technique can be extended to create a flexible and computationally efficient bank of filters, with ...

The framework was developed as part of a PhD research project and is maintained by Gil Felix Greco. In the following, a general overview about the framework is provided, of which main components are ...

Understanding how machines interpret visual information starts with two fundamental concepts in image processing: convolution and correlation. These techniques are often mentioned in textbooks, but ...

Reliable proprioception and feedback from soft sensors are crucial for enabling soft robots to function intelligently in real-world environments. Nevertheless, soft sensors are fragile and are ...

In order to address the challenges of identifying, detecting, and tracking moving objects in video surveillance, this paper emphasizes image-based dynamic entity detection. It delves into the ...

Abstract: The convolutional coding technique is used to encode and decode a continuous stream of bits. The basic concept behind the convolution is the overlapping of two signals to form the other one.

The nematode Caenorhabditis elegans is a powerful experimental model to investigate vital functions of higher organisms. We recently established a novel method, named "pond assay for the sensory ...

Understanding how brains process sensory signals in natural environments is one of the key goals of twenty-first century neuroscience. While brain imaging and invasive electrophysiology will play key ...

Brain-inspired computing seeks to develop new technologies that solve real-world problems while remaining grounded in the physical requirements of energy, speed, and size. Meeting these challenges ...