The dataset and proposal of the exercise is from the Udemy course Signal Processing Problems, solved in Matlab and in Python. I highly recommend this course for those interested in signal processing. ...
This script contains my origianl filter function which was retired on 23/09/2016 as it uses convolution in the time domain to apply the filter which makes it slow and particularly inefficient with ...
MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released learnable quantum spectral filter technology for hybrid graph neural networks. This ...
Abstract: A Fast linear convolution algorithm based on the Discrete Hirschman Transform (DHT) provides increased hardware flexibility and reduced computational complexity compared to those based on ...
Abstract: This paper provides an overview of the design and properties of parallel discrete-time filter bank architectures based on the concept of frequency-domain sub-convolution developed by the ...
A new recursive algorithm, called the Gaussian convolution filter (GCF), is proposed for nonlinear dynamic state space models. Based on the convolution filter (CF) and similar to the Gaussian filters, ...
MicroCloud Hologram ’s approach uses a logarithmic encoding method to reduce the number of qubits needed, representing an N-dimensional feature space using just log (N) qubits. The system forms an end ...
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Stride in CNNs: The key tweak that matters
In this video, we will understand what is Stride in Convolutional Neural Network. While performing Convolution operation on ...
The coronavirus (COVID-19) is currently the most common contagious disease which is prevalent all over the world. The main challenge of this disease is the primary diagnosis to prevent secondary ...
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