Extraction of weak fault using combined dual-tree wavelet and improved MCA for rolling bearings

A Hybrid Feature Model and Deep-Learning-Based Bearing Fault Diagnosis

(2017) Muhammad Sohaib et al.   SENSORS

A review on signal processing techniques utilized in the fault diagnosis of rolling element bearings

(2016) Akhand Rai et al.   TRIBOLOGY INTERNATIONAL

Improvement of retinal blood vessel detection using morphological component analysis

(2015) Elaheh Imani et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Sleep spindle and K-complex detection using tunable Q-factor wavelet transform and morphological component analysis

(2015) Tarek Lajnef et al.   Frontiers in Human Neuroscience

A reliable approach to distinguish between transient with and without HFOs using TQWT and MCA

(2014) Sahbi Chaibi et al.   JOURNAL OF NEUROSCIENCE METHODS

Tunable Q-factor wavelet transform denoising with neighboring coefficients and its application to rotating machinery fault diagnosis

(2013) WangPeng He et al.   Science China-Technological Sciences

Wavelet Transform With Tunable Q-Factor

(2011) Ivan W. Selesnick   IEEE TRANSACTIONS ON SIGNAL PROCESSING

A note on the complexity of L p minimization

(2011) Dongdong Ge et al.   MATHEMATICAL PROGRAMMING

Rolling element bearing diagnostics—A tutorial

(2010) Robert B. Randall et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Resonance-based signal decomposition: A new sparsity-enabled signal analysis method

(2010) Ivan W. Selesnick   SIGNAL PROCESSING