, 2015 The classification of pulse repetition interval (PRI) modulation types using transformation techniques has some disadvantages, whereby PRIs can be misclassified.
Nur Munawwarah
core +1 more source
Enhancing Tool Wear Prediction Accuracy Using Walsh-Hadamard Transform, DCGAN and Dragonfly Algorithm-Based Feature Selection. [PDF]
Sensors (Basel), 2023 Shah M +5 more
europepmc +1 more source
Fast template matching by applying winner-update on Walsh-Hadamard domain
, 2012 [[abstract]]Fast template matching is strongly demanded for many practical applications related to computer vision and image processing. In this paper, we propose a fast template matching method by applying the winner-update strategy on the Walsh ...
Wei, Shou-Der;Liu, Shao-Wei;Lai, Shang-Hong
core
Efficient novel network and index for alcoholism detection from EEGs. [PDF]
Health Inf Sci Syst, 2023 Sadiq MT +4 more
europepmc +1 more source
Walsh-Hadamard Transform and Cryptographic Applications in Bias Computing [PDF]
, 2016 Walsh-Hadamard transform is used in a wide variety of scientific and engineering applications, including bent functions and cryptanalytic optimization techniques in cryptography.
Yvo DESMEDT, Yi LU
core +1 more source
RADIC:A tool for diagnosing COVID-19 from chest CT and X-ray scans using deep learning and quad-radiomics. [PDF]
Chemometr Intell Lab Syst, 2023 Attallah O.
europepmc +1 more source
A Novel GFDM Waveform Design Based on Cascaded WHT-LWT Transform for the Beyond 5G Wireless Communications. [PDF]
Sensors (Basel), 2021 Maraş M +4 more
europepmc +1 more source
, 1989 Theoretical performance analysis and test simulations showed that the DWHT (discrete Walsh-Hadamard transform) is as good as the DCT (discrete cosine transform) for the encoding of low-correlation MCFD (motion-compensated frame difference) signals ...
Kadur, Manjunatha S., Akansu, Ali N.
core
A Function Generator for Walsh Order Hadamard Matrix and Fast Walsh-Hadamard Transform
Geoinformatics, 2000 openaire +2 more sources
Genetically Optimized Modular Neural Networks for Precision Lung Cancer Diagnosis: Exploratory Study of Novel Approach. [PDF]
Cancer Diagn PrognAgrawal VL +5 more
europepmc +1 more source