VkFFT is an efficient GPU-accelerated multidimensional Fast Fourier Transform library for Vulkan/CUDA/HIP/OpenCL/Level Zero/Metal projects. VkFFT aims to provide the ...
Penn Engineers have developed an open-source algorithm that combines the speed of AI with the precision of geometry to ...
Abstract: This paper presents the design and implementation of memory-based fast Fourier transform (FFT) processors with generalized efficient, conflict-free address schemes. We unified the ...
In a world dominated by algorithms, it's common to associate them with a negative bias. Mathematician Clara Grima defends their usefulness in her latest work, although she also recognizes the ...
As we listen to a piece of music, our ears perform a calculation. The high-pitched flutter of the flute, the middle tones of the violin, and the low hum of the double bass fill the air with pressure ...
DIFFT is an open-source collection of implementations for the Double-Interpolation FFT method proposed in the paper "An Improved Accuracy Harmonic Extraction Method for Microcontrollers" (Tian & Zhang ...
Abstract: Deep neural network (DNN) belongs to an important class of machine learning algorithms generally used to classify digital data in the form of image and speech recognition. The computational ...
Fourier transform is a key method for analyzing signals in both time and frequency domains. The FFT is a computational algorithm that efficiently computes the discrete Fourier transform (DFT) and its ...
The National Institute of Standards and Technology has officially released three new encryption standards that are designed to fortify cryptographic protections against future cyberattacks by quantum ...
In order to realize the real-time processing and analysis of astronomical ultra-wide bandwidth signals, this study proposes a sub-band division algorithm based on RFSoC. The algorithm uses Kaiser ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results