Empirical Mode Decomposition Complexity

STOCHASTIC CHARACTERISTICS OF DE- NOISING TIME SERIES

FEATURE EXTRACTION ENHANCEMENT BASED ON PARAMETERLESS EMPIRICAL WAVELET TRANSFORM: APPLICATION TO BEARING FAULT DIAGNOSIS

THE USE OF DISCRETE KARHUNEN-LOEVE TRANSFORM TO CHARACTERIZE THE SIGNAL AND NOISE PORTIONS IN MODERN STATISTICAL SIGNAL PROCESSING

UNSUPERVISED REAL-TIME DIAGNOSIS SYSTEM FOR ECG STREAMING DAT

Efficient Denoising Schemes of EEG Signals

REAL-TIME IMPLEMENTATION OF A NEW RADAR SIGNAL PROCESSOR BASED ON THE TIME-FREQUENCY APPROACH

A Comparative Study for Outlier Detection Strategies Based On Traditional Machine Learning For IoT Data Analysis.

Title: Interpretation of Out-of-Control Signals by Using Decomposition of T2 Statistic Procedure with Application

Features Extraction of ECG Signals Using Wavelet Transforms