The Improvement on the Performance of DMD Hadamard Transform Near-Infrared Spectrometer by Double Filter Strategy and a New Hadamard Mask [PDF]
Micromachines, 2019 In the Hadamard transform (HT) near-infrared (NIR) spectrometer, there are defects that can create a nonuniform distribution of spectral energy, significantly influencing the absorbance of the whole spectrum, generating stray light, and making the signal-
Zifeng Lu +4 more
doaj +3 more sources
Enhancing Tool Wear Prediction Accuracy Using Walsh-Hadamard Transform, DCGAN and Dragonfly Algorithm-Based Feature Selection. [PDF]
Sensors (Basel), 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 ...
Shah M +5 more
europepmc +2 more sources
High-Throughput Multiplexed Infrared Spectroscopy of Ion Mobility-Separated Species Using Hadamard Transform. [PDF]
Anal Chem, 2022 Coupling vibrational ion spectroscopy with high-resolution ion mobility separation offers a promising approach for detailed analysis of biomolecules in the gas phase.
Yatsyna V +4 more
europepmc +2 more sources
Hadamard Transform Ion Mobility Spectrometry Based on Matrix Encoding Modulation [PDF]
Sensors, 2023 Ion mobility spectrometry (IMS) has been widely used for the on-site detection of trace chemicals, but continue to suffer from a low duty cycle of ion injection.
Ke Chen, Lingfeng Li, Peng Li
doaj +2 more sources
ANALYSIS OF THE BASELINE DRIFT ARTIFACT IN HADAMARD TRANSFORM SEPARATION TECHNIQUES [PDF]
Química Nova, 2020 The baseline drift artifact (BDA), namely, the baseline bias between the Hadamard transform (HT) spectrum and the signal averaging (SA) spectrum was unfortunately found in the HT pulsed separation techniques, which makes the HT analytical chemistry face ...
Yan Hong +5 more
doaj +2 more sources
Detection of Focal and Non-Focal Electroencephalogram Signals Using Fast Walsh-Hadamard Transform and Artificial Neural Network. [PDF]
Sensors (Basel), 2020 The discrimination of non-focal class (NFC) and focal class (FC), is vital in localizing the epileptogenic zone (EZ) during neurosurgery. In the conventional diagnosis method, the neurologist has to visually examine the long hour electroencephalogram ...
J P +6 more
europepmc +2 more sources
A Generalised Hadamard Transform [PDF]
Proceedings. International Symposium on Information Theory, 2005. ISIT 2005., 2005 A Generalised Hadamard Transform for multi-phase or multilevel signals is introduced, which includes the Fourier, Generalised, Discrete Fourier, Walsh-Hadamard and Reverse Jacket Transforms.
Horadam, K. J.
core +5 more sources
An Efficient Gabor Walsh-Hadamard Transform Based Approach for Retrieving Brain Tumor Images From MRI [PDF]
IEEE Access, 2021 Brain tumors are a serious and death-defying disease for human life. Discovering an appropriate brain tumor image from a magnetic resonance imaging (MRI) archive is a challenging job for the radiologist.
K. Venkatachalam +4 more
openalex +2 more sources
Fast Walsh-Hadamard Transform and Smooth-Thresholding Based Binary Layers in Deep Neural Networks [PDF]
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2021 In this paper, we propose a novel layer based on fast Walsh-Hadamard transform (WHT) and smooth-thresholding to replace 1 × 1 convolution layers in deep neural networks. In the WHT domain, we denoise the transform domain coefficients using the new smooth-
Hongyi Pan +2 more
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High-Capacity Image Steganography Based on Discrete Hadamard Transform
IEEE Access, 2022 High capacity and high imperceptibility are the primary targets for ideal image steganography. For the traditional transform-based schemes, the main challenge is to balance the imperceptibility, hiding capacity, and running efficiency.
Ying-Qian Zhang +2 more
doaj +2 more sources