frequency-domain methods: transform time series into a frequency spectrum, Fourier transform/ Z-transform; 2. How to integrate wavelet transforms into the framework of deep learning models remains a great challenge. MODEL Multilevel Discrete Wavelet Decomposition (MDWD) [26] is a wavelet based disc...
In light of this, in this paper we propose a wavelet-based neural network structure called multilevel Wavelet Decomposition Network (mWDN) for building frequency-aware deep learning models for time series analysis. mWDN preserves the advantage of multilevel discrete wavelet decomposition in frequency...
interpretable deep networkmultilevel discrete wavelet decomposition layerSE-Residual blockArrhythmias may lead to sudden cardiac death if not detected and treated in time. A supraventricular premature beat(SPB) and premature ventricular contraction(PVC) are important categories of arrhythmia disease. Recently...
Decomposition of 3D Convex Structuring Element in Morphological Operation for Parallel Processing Architectures Thus, our method can be used to obtain the different optimal decompositions minimizing the amount of computation for different parallel processing computer ... SY Ohn - Springer Berlin Heidelberg ...
In this study, an improved forecasting accuracy for up to 3 weeks ahead of GWLs in Bangladesh was achieved by employing a coupled Long Short Term Memory (LSTM) network-based deep learning algorithm and Maximal Overlap Discrete Wavelet Packet Transform (MODWPT) data preprocessing. The coupled LSTM...
Wavelet decomposition process. The extraction of music rhythm features is divided into four steps: full-wave rectification, low-pass filtering, down sampling, and deaveraging. The corresponding expression is as follows: (8) In formula (8), the function of parameters is to remove high-frequency...
The network may cause us to broaden one's outlook. [translate] athis is a very peaceful place for the Beijing tourist to enjoy. 这是对于北京游客的一个很和平地方享受。 [translate] a2. On-site machine program enhance understanding 2. 本地机器程序提高了解 [translate] aits not my work 它...
Lee, "Video-based human activity recognition using multilevel wavelet decomposition and stepwise linear discriminant analy- sis," Sensors, vol. 14, no. 4, pp. 6370-6392, 2014.Siddiqi, M.H., Ali, R., Rana, M.S., et al.: `Video-based human activity recognition using multilevel wavelet...
Taking the time–frequency signal feature map as the model input, a convolutional network with parameter sharing is used to extract the deep features of bearing faults. • H: On the bearing vibration signal firstly, wavelet packet decomposition and reconstruction are carried out, and the energy ...
Dheeba J, Albert Singh N (2014) Computer-aided detection of breast cancer on mammograms: a swarm intelligence optimized wavelet neural network approach. J Biomed Inf 49:45–52 Article Google Scholar Dhungel N, Carneiro G (2016) Automated mass detection in mammograms using cascaded deep learning...