Signal prediction based on empirical mode decomposition and artificial neural networks

Adaptive Orthogonal Signal Decomposition Based on Empirical Mode Decomposition and Empirical Wavelet Transform Ligi

Empirical mode decomposition (EMD) and Empirical wavelet transform (EWT) are recently developed adaptive signal processing tools. These techniques decompose a signal accordingly to its contained information. The main issue with EMD is its lack of theory and in case of EWT a prior knowledge of the signal is required. IMF’s obtained as a result of applying EMD are quasi-orthogonal .This paper sug...

Noise Reduction of Chaotic Signal Based on Empirical Mode Decomposition

Abstract In view of the nonlinear characteristics of chaotic signal, a threshold denoising method of noisy chaotic signal based on empirical mode decomposition (EMD) is presented. Firstly, noisy chaotic signal is decomposed into several intrinsic mode function (IMF) by empirical mode decomposition. Secondly, the intrinsic mode functions of high frequency are respectively processed using thresho...

Willingness-to-pay Prediction Based on Empirical Mode Decomposition

Long-term prediction of customer preferences is becoming essential for effective product portfolio design in broad industrial sectors such as automotive, aerospace, consumer electronics, where typical concept-to-release times are long (24-60 months). However, nonlinear and nonstationary evolutions of customer preferences hinder accurate prediction of the futures of customer preferences. This pa...

A Power Prediction Method for Photovoltaic Power Plant Based on Wavelet Decomposition and Artificial Neural Networks

The power prediction for photovoltaic (PV) power plants has significant importance for their grid connection. Due to PV power’s periodicity and non-stationary characteristics, traditional power prediction methods based on linear or time series models are no longer applicable. This paper presents a method combining the advantages of the wavelet decomposition (WD) and artificial neural network (A...

Combining Empirical Mode Decomposition with Neural Networks for the Prediction of Exchange Rates