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Fast Walsh–Hadamard transform and deep learning approach for diagnosing psychiatric diseases from electroencephalography (EEG) signals
Psychiatric diseases are very common worldwide, including schizophrenia (SZ) and Alzheimer's disease (AD). Early diagnosis is very important for...
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A fast partial distortion-based motion estimation algorithm in Walsh–Hadamard domain
This paper proposes a fast partial distortion-based block matching motion estimation algorithm and its enhanced version in Walsh–Hadamard. The...
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A high-efficiency blind watermarking algorithm for double color image using Walsh Hadamard transform
This paper presents an efficient blind watermarking algorithm for double color images using Walsh Hadamard transform (WHT). In this algorithm, the...
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Video shot boundary detection using hybrid dual tree complex wavelet transform with Walsh Hadamard transform
Shot boundary detection (SBD) is the initial process in the video analysis, indexing, summarization, and retrieval. Detection of correct transition...
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An Efficient Multilevel Transform-Domain Partial Distortion Search Algorithm
AbstractThis paper proposes a fast partial distortion-based block matching motion estimation algorithm in Walsh–Hadamard. The proposed algorithm...
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A hardware architecture for the Walsh–Hadamard transform toward fast simulation of quantum algorithms
Quantum computers are based on quantum physics, and can exploit quantum effects to boost its computation. However, analysis of quantum algorithms are...
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Introducing nega-Forrelation: quantum algorithms in analyzing nega-Hadamard and nega-crosscorrelation spectra
Aaronson defined Forrelation (2010) as a measure of correlation between a Boolean function f and the Walsh–Hadamard transform of another function
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A novel blind color image watermarking based on Walsh Hadamard Transform
A new blind color image watermarking based on Walsh Hadamard Transform (WHT) is proposed in this paper which uses Triangular Vertex Transform (TVT)...
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eGHWT: The Extended Generalized Haar–Walsh Transform
Extending computational harmonic analysis tools from the classical setting of regular lattices to the more general setting of graphs and networks is...
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Classification of pleasant and unpleasant odor imagery EEG signals
Electroencephalography (EEG) is a widely used technique that allows researchers to measure neural activity that demonstrates how the human brain...
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Energy-Efficient Image Processing Using Binary Neural Networks with Hadamard Transform
Binary neural networks have recently begun to be used as a highly energy- and computation-efficient image processing technique for computer vision...
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On Generalized Nega-Hadamard Transform and Nega-crosscorrelation
In the construction of cryptosystems, we need functions with some cryptographically significant properties. It is known that the Global Avalanche...
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Entropy based adaptive color image watermarking technique in \(YC_bC_r\) color space
Digital watermarking can be used to ensure the authenticity and copyright protection of images. In watermarking balancing the trade-offs between its...
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A new reversible data hiding in transform domain
Reversible watermarking is a technique permitting lossless data hiding. In such a method, the lossless recovering of both watermark and host image is...
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A dual-color watermarking algorithm based on elliptical monogenic wavelet transform and singular value decomposition
A dual-color watermarking algorithm using elliptical monogenic wavelet transform and singular value decomposition is proposed. Firstly, the original...
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Compression of electrocardiogram signals using compressive sensing technique based on curvelet transform toward medical applications
Electrocardiogram (ECG) signals can be monitored from many patients based on healthcare systems. To enhance these systems, the ECG signals should be...
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Efficient novel network and index for alcoholism detection from EEGs
BackgroundAlcoholism is a catastrophic condition that causes brain damage as well as neurological, social, and behavioral difficulties.
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Secure video steganographic model using framelet transform and elliptic curve cryptography
Information security holds a quintessential role in the era of digital communication. Nowadays, social media has become the new platform to share a...
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Detection of brain tumour in multi-modality images using hybrid features
Brain is recognized as a focal part of nervous system and it is inflated by tumour. Therefore the lifespan among humans gets diminished. The anatomy...
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Improved discrete Tchebichef transform approximations for efficient image compression
In recent years, the Discrete Tchebichef Transform (DTT) has gained popularity as a signal processing tool for image and video compression due to its...
