Concept
Upsampling
Related publications (25)
Robust Data-Driven Controller Design with Finite Frequency Samples
Alireza Karimi, Philippe Louis Schuchert
Modern control synthesis methods rely on accurate models to derive a performant controller. Obtaining a good model is often a costly step, and has led to a renewed interest in data-driven synthesis methods. Frequency-response-based synthesis methods have b ...
2024pyFFS: A Python Library for Fast Fourier Series Computation and Interpolation with GPU Acceleration
Martin Vetterli, Paul Hurley, Eric Bezzam, Sepand Kashani, Matthieu Martin Jean-André Simeoni
Fourier transforms are an often necessary component in many computational tasks, and can be computed efficiently through the fast Fourier transform (FFT) algorithm. However, many applications involve an underlying continuous signal, and a more natural choi ...
2022Deep Image Restoration: Between Data Fidelity and Learned Priors
Image restoration reconstructs, as faithfully as possible, an original image from a potentially degraded version of it. Image degradations can be of various types, for instance haze, unwanted reflections, optical or spectral aberrations, or other physicall ...
EPFL2021A Low-Dimensional Function Space for Efficient Spectral Upsampling
We present a versatile technique to convert textures with tristimulus colors into the spectral domain, allowing such content to be used in modern rendering systems. Our method is based on the observation that suitable reflectance spectra can be represented ...
WILEY2019A Preconditioned Graph Diffusion LMS for Adaptive Graph Signal Processing
Graph filters, defined as polynomial functions of a graph-shift operator (GSO), play a key role in signal processing over graphs. In this work, we are interested in the adaptive and distributed estimation of graph filter coefficients from streaming graph s ...
IEEE COMPUTER SOC2018A Graph Diffusion LMS Strategy for Adaptive Graph Signal Processing
Ali H. Sayed, Jie Chen, Roula Nassif
The massive deployment of distributed acquisition and signal processing systems, as well as the ubiquity of connected devices, is currently contributing to the development of graph signal processing. Nevertheless, this discipline still suffers from the lac ...
2017A graph signal filtering-based approach for detection of different edge types on airborne lidar data
Airborne Laser Scanning is a well-known remote sensing technology, which provides a dense and highly accurate, yet unorganized point cloud of earth surface. During the last decade, extracting information from the data generated by airborne LiDAR systems ha ...
2017Method and apparatus for presenting to a user of a wearable apparatus additional information related to an audio scene
Martin Vetterli, Ivan Dokmanic, Juri Ranieri
A method for presenting to a user of a wearable audio device a modified audio scene together with additional information related to the audio scene, comprising: capturing audio signals with a plurality of microphones; outputting an audio signal with a plur ...
2017Learning Laplacian Matrix in Smooth Graph Signal Representations
Pascal Frossard, Pierre Vandergheynst, Xiaowen Dong
The construction of a meaningful graph plays a crucial role in the success of many graph-based representations and algorithms for handling structured data, especially in the emerging field of graph signal processing. However, a meaningful graph is not alwa ...
Institute of Electrical and Electronics Engineers2016Design optimization of polyphase digital down converters for extremely high frequency wireless communications
Yusuf Leblebici, Gain Kim, Raffaele Capoccia
In this paper, an area-optimized polyphase digital down converter (DDC) architecture is introduced, where the mixers can be completely merged into the polyphase decimation filter under certain conditions. We also introduce an interface architecture, called ...
2015