Results 21 to 30 of about 2,154,721 (280)
Block Walsh–Hadamard Transform-based Binary Layers in Deep Neural Networks [PDF]
ACM Transactions on Embedded Computing Systems, 2022 Convolution has been the core operation of modern deep neural networks. It is well known that convolutions can be implemented in the Fourier Transform domain.
Hongyi Pan, Diaa Badawi, A. Cetin
semanticscholar +1 more source
Block subsampled randomized Hadamard transform for low-rank approximation on distributed architectures [PDF]
International Conference on Machine Learning, 2022 This article introduces a novel structured random matrix composed blockwise from subsampled randomized Hadamard transforms (SRHTs). The block SRHT is expected to outperform well-known dimension reduction maps, including SRHT and Gaussian matrices, on ...
O. Balabanov +3 more
semanticscholar +1 more source
Efficient Coding of the Embedded Signal in Steganographic Systems with Multiple Access [PDF]
Problems of the Regional Energetics, 2021 Today, steganographic systems with multiple access are of considerable importance. In such sys-tems, the orthogonal Walsh-Hadamard transform is most often used for multiplexing and divid-ing channels, which leads to the need for efficient coding of the ...
Kobozeva A.A., Kobozeva A.A.,
doaj +1 more source
Design of Grover’s Algorithm over 2, 3 and 4-Qubit Systems in Quantum Programming Studio [PDF]
International Journal of Electronics and Telecommunications, 2022 In this paper, we design and analyse the Circuit for Grover’s Quantum Search Algorithm on 2, 3 and 4-qubit systems, in terms of number of gates, representation of state vectors and measurement probability for the state vectors.
Diana Jingle +4 more
doaj +1 more source
Italian National Conference on Sensors, 2023 Tool wear is an important concern in the manufacturing sector that leads to quality loss, lower productivity, and increased downtime. In recent years, there has been a rise in the popularity of implementing TCM systems using various signal processing ...
Milind Shah +5 more
semanticscholar +1 more source
bioRxiv, 2023 Accurate models describing the relationship between genotype and phenotype are necessary in order to understand and predict how mutations to biological sequences affect the fitness and evolution of living organisms.
André J. Faure +4 more
semanticscholar +1 more source
Lyapunov Direct Method for Nonlinear Hadamard-Type Fractional Order Systems
Fractal and Fractional, 2022 In this paper, a rigorous Lyapunov direct method (LDM) is proposed to analyze the stability of fractional non-linear systems involving Hadamard or Caputo–Hadamard derivatives.
Changping Dai, Weiyuan Ma
doaj +1 more source
Deep Neural Network with Walsh-Hadamard Transform Layer For Ember Detection during a Wildfire
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2022 In this article, we describe an ember detection method in infrared (IR) video. Embers, also called firebrands, can act as wildfire super-spreaders. We develop a novel neural network with a Walsh-Hadamard Transform (WHT) layer to process the IR video. The
Hongyi Pan +5 more
semanticscholar +1 more source
Watermark Embedding Scheme with Variance of Chromatic Components
Engineering Proceedings, 2023 This paper contains the idea of inserting a watermark with the variance of color components of the image. The color image is converted into CIE color space.
Dur-e-Jabeen +5 more
doaj +1 more source
Reversible Hadamard transforms [PDF]
Facta universitatis - series: Electronics and Energetics, 2007 A coding method which reconstruct an original digital image without distortion is called "reversible coding". In case of the classical block transform coding (Cosine, Hadamard, Haar and etc) we have to make the number of levels of the transform coefficient very large in order to reconstruct the input signal with no distortion.
Jaakko Astola +3 more
openaire +2 more sources