Search
Search Results
-
Robust Automatic Speech Recognition Using Wavelet-Based Adaptive Wavelet Thresholding: A Review
Automatic speech recognition (ASR) is one of the most fascinating fields of research and the performance of ASR systems is most promising in a closed...
-
Review of wavelet denoising algorithms
Although there has been a lot of progress in the general area of signal denoising, noise removal remains a very challenging problem in real-world...
-
Image denoising method based on improved wavelet threshold algorithm
In order to achieve image denoising in high-noise environment, this paper proposes an image denoising algorithm based on improved wavelet...
-
VMD based wavelet hybrid denoising and improved FBCCA algorithm: a new technique for wearable SSVEP recognition
The brain-computer interface based on steady-state visual evoked potential (SSVEP) has gained increasing attention due to its non-invasiveness, low...
-
Fundamentals of Wavelet Filter Banks
Recognised for its capacity to effectively capture and analyse signals in both the time and frequency domains, orthogonal wavelets are a vital tool...
-
An efficient approach for denoising EOG artifact through optimal wavelet selection
Electroencephalography (EEG) is a non-intrusive method used to capture electrical potential generated by brain neurons, which is crucial for...
-
A Wavelet Features and Machine Learning Founded Error Analysis of Sound and Trembling Signal
The sound and vibration signals coming from the spinning machinery are non-stationary signals, and to analyse them, we require information on both...
-
Multi-scale gradient wavelet-based image quality assessment
The quality of images is always at stake due to the abundant compression, transferring, and processes done on them. Each of which brings about its...
-
Optimization of Artificial Neural Networks using Wavelet Transforms
AbstractThe article presents the artificial neural networks performance optimization using wavelet transform. The existing approaches of wavelet...
-
Wavelet transform-assisted generative model for efficient 3d deep shape generation
Unsupervised deep learning has been widely employed to generate high-quality samples. While its potential for point clouds generation tasks has...
-
WaveCNNs-AT: Wavelet-based deep CNNs of adaptive threshold for signal recognition
Convolutional neural networks are widely used for feature extraction in signal recognition. A critical issue in convolutional neural networks is the...
-
No reference image quality assessment with shape adaptive discrete wavelet features using neuro-wavelet model
No reference method for image quality assessment using shape adaptive wavelet features by applying neuro-wavelet model is proposed in this paper....
-
Edge Testing of Noisy Image Based on Wavelet Neural Network
AbstractTo perfect inspecting effectiveness for image edge with noise, wavelet neural network is used for executing inspection of image edge. Basic...
-
Multi-aggregation network based on non-separable lifting wavelet for single image deraining
Recently, many methods have utilized Haar wavelet to extract frequency-domain information for image deraining. However, Haar wavelet and other tensor...
-
Fractals and Wavelet Fisher’s Information
Fisher’s information measure (FIM) allows to study the complexities associated to random signals and systems and has been used in the literature to...
-
Underwater acoustic target recognition using RCRNN and wavelet-auditory feature
Underwater acoustic target recognition plays an essential role in sonar signal processing. Despite numerous efforts in target recognition, it remains...
-
A Wavelet Entropy-Based Approach to Select Structure Element of Morphological Filter for Bearing Fault Detection
Vibration signal acquired from the bearing often contains components from other elements. Background noise is also involved in the measurement of...
-
Wavelet Radar Signal Processing and its Applications to Industrial Roller Rotation Monitoring
In this article, attention is paid to the task of remote monitoring of the state of an industrial roller using radar. A millimeter-wave radar using...
-
Automatic ECG classification using discrete wavelet transform and one-dimensional convolutional neural network
This paper presents an approach based on deep learning for accurate Electrocardiogram signal classification. The electrocardiogram is a significant...
-
Wavelet-packets for deepfake image analysis and detection
As neural networks become able to generate realistic artificial images, they have the potential to improve movies, music, video games and make the...
