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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Thermal Characteristics Testing and Analysis of Dry Gear Hobbing Machine on Multivariate Information Fusion by Peng Shengdi, Yang Xiao, Li Benjie, He Lang, Zhang Zhili

“…Based on the IPO model, it put forward the sequential processing method of multi-source thermal data of dry-cutting and hobbing machine. using outlier replacement, moving average filtering, wavelet filtering, and data resampling, it realised the accurate analysis of multi-source thermal data. …”
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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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Gearbox Status Recognition based on TMD-SVD and POS-BP Networks Under Strong Interference by Lei He, Suqi Liu

“…Then， the first 5 IMFs components of the signal is decomposed by EMD， since the spectrum of IMF1 is still complicated， the wavelet packet is used to continue the 2-layer decomposition. …”
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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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Railway safety monitoring algorithm based on distributed optical fiber vibration sensor by Fuyang CHEN, Bin JIANG, Yu SHA

“…Aiming at the monitoring problem of the human climbing behaviour existing along the railway,a railway safety detection algorithm based on distributed optical fiber vibration sensors was proposed by combining the distributed optical fiber sensing technology and signal analysis technology.The surrounding vibration was sensed and transmitted through the optical cables laid along the fence network of the railway,and then the Internet of things (IoT) connection between the railway and monitoring algorithm was built to realize the intelligent monitoring of the climbing behavior.In view of the complicated surrounding environment of the railway and more interference,the Hamming window and wavelet threshold denoising method were used to filter the signal of each frame to improve the signal-to-noise ratio of the vibration signal.In the selection of features,the power spectrum and short-time over-level rate of the signal were extracted from the time domain and frequency domain respectively as a joint feature to determine whether there was climbing or creeping behavior.Since that the climbing behavior was spatially continuous,the minimum alarm range was set to filter out alarms with a too small range,which improved the accuracy of the monitoring system.…”
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Risk Analysis of Waterlogging under Combination of Short-duration Heavy Rainfall and Tidal Level in Foshan City by YANG Fan, XU Liang, HAN Jing

“…In orderto explore the probability of waterlogging risks in a specific city and provide scientific basisfor the study of urban waterlogging risks in the Pearl River Delta region, from the perspective ofthe causes of waterlogging, this paper takes Foshan as a typical research area, systematicallyanalyzes the probability of encountering storms and high tide levels, constructs a probabilisticmodel for the risk of encounter of rainstorm and high tidal level in urban area of Foshan, andquantitatively evaluates the encounter probabilities and change trend under multiple combinationsof rainstrom and tidal levels in urban area of Foshan by the time-series trend analysis, stormfrequency change statistics, sequence wavelet analysis, and Copula function. The study shows thatsince 2000, the number of rainstorms in urban area of Foshan increased, and the encounterprobability of rainstorm and high tidal level was high, so the risk probability was high. …”
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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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Застосування методу вейвлет-аналізу для виявлення атак в мережах by К. М. Чемерис, Л. Ю. Дейнега

“…Отримано тестові дані мережевого трафіку з аномаліями для практичного виконання, виконано шумоусунення сигналу для конкретизації даних та зменшення їх розміру, а також застосовано різні методи вейвлет-аналізу для виявлення можливих аномалій та порівняно спектрограми з використанням пакету Wavelet Tools у середовищі Matlab.…”
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Residual Life Prediction of Metro Traction Motor Bearing Based on Convolutional Neural Network by Yanwei Xu, Weiwei Cai, Tancheng Xie, Pengfei Zhao

“…Firstly, the vibration sensor and acoustic emission sensor are used to collect the bearing life signals on the bearing fatigue life test bench. Secondly, wavelet packet decomposition is used to denoise the collected bearing life signal and extract multiple eigenvalues. …”
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Predictive Modeling of a Two-Stage Gearbox towards Fault Detection by Edward J. Diehl, J. Tang

“…This paper presents a systematic approach to the modeling and analysis of a benchmark two-stage gearbox test bed to characterize gear fault signatures when processed with harmonic wavelet transform (HWT) analysis. The eventual goal of condition monitoring is to be able to interpret vibration signals from nonstationary machinery in order to identify the type and severity of gear damage. …”
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A Fast Identification Method for Seismic Responses of Bridge Structures by Integrating Digital Signal Features and Deep Learning by Zhaoxu Lv, Youliang Ding, Junxiao Guo

“…The short-time energy method is used to intelligently extract the non-smooth segments in the sensor acquired signals, and the short-time Fourier transform, continuous wavelet transform, and Meier frequency cestrum coefficients are used to analyze the spectrum of the non-smooth segments of the response of the bridge structure, and the response feature matrix is extracted and used to classify sequences or images in the LSTM network and the Resnet50 network. …”
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Rapid Acquisition of High-Pixel Fluorescence Lifetime Images of Living Cells via Image Reconstruction Based on Edge-Preserving Interpolation by Yinru Zhu, Yong Guo, Xinwei Gao, Qinglin Chen, Yingying Chen, Ruijie Xiang, Baichang Lin, Luwei Wang, Yuan Lu, Wei Yan

“…Following the interpolation of the intensity image, we apply wavelet transformation and adjust the wavelet coefficients according to the image gradients. …”
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Implementation of a Transform-Minutiae Fusion-Based Model for Fingerprint Recognition by Justice Kwame Appati, Prince Kofi Nartey, Ebenezer Owusu, Ismail Wafaa Denwar

“…The first transform technique, thus wave atom transform, was used for data smoothing while the second transform, thus wavelet, was used for feature extraction. These features were added to the minutiae features for person recognition. …”
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Adaptive Hybrid Control of Vehicle Semiactive Suspension Based on Road Profile Estimation by Yechen Qin, Mingming Dong, Reza Langari, Liang Gu, Jifu Guan

“…A new road estimation and classification method, which is based on ANFIS (Adaptive Neurofuzzy Inference System) and wavelet transforms, is then presented as a means of detecting the road profile level, and a Kalman filter is designed for observing unknown states. …”
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An Improved Direct Torque Control with an Advanced Broken-Bar Fault Diagnosis for Induction Motor Drives by Oualid Aissa, Abderrahim Reffas, Hicham Talhaoui, Djamel Ziane, Abdelhakim Saim

“…Besides, a closed-loop broken-bar fault detection strategy based on the Hilbert technique (HT) with the discrete wavelet transform (DWT) and ANNs is proposed. The fault detection is performed by analyzing the induction motor’s stator current by using the combined techniques HT-DWT. …”
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