Segmentation and Classification of Vowel Phonemes of Assamese Speech Using a Hybrid Neural Framework by Mousmita Sarma, Kandarpa Kumar Sarma

“…The proposed algorithm shows a high recognition performance in comparison to the conventional Discrete Wavelet Transform (DWT) based segmentation.…”
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Validation of Two Nonlinear System Identification Techniques Using an Experimental Testbed by V. Lenaerts, G. Kerschen, J.-C. Golinval, M. Ruzzene, E. Giorcelli

“…The identification of a nonlinear system is performed using experimental data and two different techniques, i.e. a method based on the Wavelet transform and the Restoring Force Surface method. …”
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Intelligent Fault Diagnosis of Machines Based on Adaptive Transfer Density Peaks Search Clustering by Meng Li, Yanxue Wang, Chuyuan Wei

“…To enhance the accuracy of autonomous diagnosis using unlabelled mechanical faults data, a novel intelligent diagnosis algorithm has been developed for rotating machinery based on adaptive transfer density peak search clustering. Combined with the wavelet packet energy feature extraction algorithm, the proposed algorithm can enhance the computational accuracy and reduce the computational time consumption. …”
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Video Multiple Watermarking Technique Based on Image Interlacing Using DWT by Mohamed M. Ibrahim, Neamat S. Abdel Kader, M. Zorkany

“…In this technique, three-level discrete wavelet transform (DWT) is used as a watermark embedding/extracting domain, Arnold transform is used as a watermark encryption/decryption method, and different types of media (gray image, color image, and video) are used as watermarks. …”
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Molecular Image Segmentation Based on Improved Fuzzy Clustering by Jinhua Yu, Yuanyuan Wang

“…The second stage is the texture energy characterization using a Gabor wavelet method. The third stage is introducing spatial constraints provided by the denoising data and the textural information into the two-dimensional fuzzy clustering. …”
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ADI-MRTD Algorithm for Periodic Structures Analysis by Xiaohua Dong, Yiwang Chen, Pin Zhang, Yichao Teng, Xiaobo Zhuansun

“…By applying the multiresolution analysis in accordance with wavelet theory, the spatial sampling rate of the conventional finite-difference time-domain (FDTD) is significantly reduced by the MRTD method. …”
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Benchmarking of Multispectral Pansharpening: Reproducibility, Assessment, and Meta-Analysis by Luciano Alparone, Andrea Garzelli

“…As a major outcome of this study, an improved version of the additive wavelet luminance proportional (AWLP) pansharpening algorithm offers all of the favorable characteristics of an ideal benchmark, namely, performance, speed, absence of adjustable running parameters, reproducibility of results with varying datasets and landscapes, and automatic correction of the path radiance term introduced by the atmosphere. …”
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Constructive Existence of (1,1)-Solutions to Two-Point Value Problems for Fuzzy Linear Multiterm Fractional Differential Equations by HuiChol Choi, SungHyok Kwon, Kinam Sin, Sunae Pak, Sungryol So

“…Our existence result is based on Banach fixed point theorem and the approximate solution of our problem is obtained by applying the Haar wavelet operational matrix.…”
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Thirty-Year Periodicity of Cosmic Rays by Jorge Pérez-Peraza, Víctor Velasco, Igor Ya. Libin, K. F. Yudakhin

“…Results were obtained by using the wavelet transformation spectral technique, signal reconstruction by autoregressive spectral analysis (ARMA), and the Lomb-Scargle periodogram method. …”
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Hybrid Models for Weather Parameter Forecasting by Rashmi Bhardwaj, Varsha Duhoon

“…It is observed that, on the basis of error comparison and time taken by the models, the hybrid wavelet-neuro-RBF model gives better results as compared to the other models due to lower values of determined errors, better performance, and lesser time taken. …”
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An Analysis Method for Time-, Frequency-, and Energy-Domain Characteristics of Downhole Microseismic Signals and Its Application by Xiao-xu Gao, Xiang-xu Pan, Guang-an Zhu

“…Based on SOS microseismic (MS) monitoring system of a certain mine, time-, frequency-, and energy-domain characteristics of MS signals are analyzed by comprehensively applying one-dimensional discrete Fourier transform (DFT) and one-dimensional discrete wavelet transform (DWT). The technology is employed to explore MS signals from incident and transmitted waves on the fault plane. …”
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Analysis of Cavitation Instabilities in a Four-Blade Inducer by O. Coutier-Delgosha, A. Dazin, G. Caignaert, G. Bois

“…The objective of the present paper is the understanding of the physical phenomena associated to these frequencies. Therefore, wavelet decomposition, flow visualizations, and direct analysis of the high-frequency force, moment, and pressure signals are applied. …”
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Stego on FPGA: An IWT Approach by Balakrishnan Ramalingam, Rengarajan Amirtharajan, John Bosco Balaguru Rayappan

“…A reconfigurable hardware architecture for the implementation of integer wavelet transform (IWT) based adaptive random image steganography algorithm is proposed. …”
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Spatial Images Feature Extraction Based on Bayesian Nonlocal Means Filter and Improved Contourlet Transform by Pengcheng Han, Junping Du

“…Experimental results both on standard images and spatial images confirm that the proposed algorithm yields significantly better performance than nonsubsampled wavelet transform, contourlet, and curvelet approaches.…”
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Feasibility Study on Crack Detection of Pipelines Using Piezoceramic Transducers by Guofeng Du, Qingzhao Kong, Timothy Lai, Gangbing Song

“…In the test, eight different operating conditions were tested in which one artificial crack was created ranging from 0 mm to 10.5 mm. A wavelet packet-based crack severity index was also built to quantitatively identify the pipeline damage condition at various crack depths.…”
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Improved Image Compression Scheme Using Hybrid Encoding Algorithm by Yusra Ahmed Salih, Aree Ali Mohammed, Loay Edwar George

“…In this work, an effective compression method for hybrid images is proposed based on the discrete wavelet transformation and hybrid encoding algorithm (Huffman and SPIHT). …”
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Recognition of life-threatening arrhythmias by ECG scalograms by A.P. Nemirko, A.S. Ba Mahel, L.A. Manilo

“…A feature of our approach is the use of a unique technique for converting ECG signals into images (scalograms) using a continuous wavelet transform. For arrhythmia classification, the AlexNet neural network with a well-known deep learning architecture, which is commonly used in image classification tasks, is used. …”
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Bearing Fault Signal Analysis Based on an Adaptive Multiscale Combined Morphological Filter by Chun Lv, Peilin Zhang, Dinghai Wu, Bing Li, Yunqiang Zhang

“…Both simulation and experimental results show that the adaptive multiscale combined morphological filter can remove noise more thoroughly and retain details of the fault signal better than the dual-tree complex wavelet filter, traditional morphological filter, adaptive singular value decomposition method (ASVD), and improved switching Kalman filter (ISKF). …”
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Image Denoising Using Nonlocal Means with Shape-Adaptive Patches and New Weights by Chenglin Zuo, Jun Ma, Hao Xiong, Lin Ran

“…To efficiently reduce the noise in the image, a novel image denoising strategy is proposed, which exploits both nonlocal self-similarity and local shape adaptation. With wavelet thresholding, the residual image in method noise, derived from the initial estimate using nonlocal means (NLM), is exploited further. …”
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Experimental Investigation on the Friction-Induced Vibration with Periodic Characteristics in a Running-In Process under Lubrication by Di Sun, Pengfei Xing, Guobin Li, Hongtao Gao, Sifan Yang, Honglin Gao, Hongpeng Zhang

“…The FIV signal with periodic characteristics under lubrication was identified with the help of the squeal signal induced in an oil-free wear experiment and then extracted by the harmonic wavelet packet transform (HWPT). The variation of the FIV signal from running-in wear stage to steady wear stage was studied by its root mean square (RMS) values. …”
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