Transient evoked otoacoustic emissions (TEOAEs) have been analyzed for objective assessment of hearing function and monitoring of the influence of noise exposure and ototoxic drugs. This paper presents a novel application of the Hilbert–Huang transform (HHT) for detection and time-frequency mapping of TEOAEs. Since the HHT does not distinguish between signal and noise, it is combined with ensem...

The Hilbert-Huang transform (HHT) is a novel, adaptive approach to time series analysis. It does not impose a basis set on the data or otherwise make assumptions about the data form, and so the time–frequency decomposition is not limited by spreading due to uncertainty. Because of the high resolution of the time–frequency, we investigate the possibility of the application of the HHT to the sear...

Cantonese is a very popular spoken language/dialect, which is well known for its rich set of nine tones and the similarity in tone contours between its tones. Automated tone recognition of Cantonese is very challenging. Hilbert-Huang Transform (HHT) is an empirical algorithm that works on non-stationary and nonlinear signals. In this study, the performance of the HHT algorithm on the recognitio...

The vibration characteristics of a rub-impact rotor system with different parameters are investigated using Hilbert-Huang Transform (HHT)-a relative novel time-frequency analysis method. Firstly, the rotor with rub-impact at fixed limiter is modeled by finite element method (FEM). Then, system simulation signals at different rotating speeds, rub-impact clearances and rub-impact rod stiffness ar...

-Support Vector Machines (SVMs) map inputs vectors nonlinearly into a high dimensional feature space and construct the optimum separating hyperplane in space to realize signal classification. Automatic classification of digital modulation signals plays an important role in communication applications such as an intelligent demodulator, interference identification and monitoring, so many investig...

Spectral analysis is an important step in seismic data processing and interpretation. The frequency contents of seismic traces vary with time due to the fact that the earth is non-stationary medium. Methods were available to improve the temporal and spectral resolution, such as windowed Fourier transform, wavelet transform, S-transform and Matching Pursuit Decomposition, etc. This paper describ...

This paper presents a vibration control method for the suppression of robotic arm. To understand causes in six-axis manipulator and then eliminate through an effective method, structure can be divided into two parts. First, variational mode decomposition (VMD) Hilbert–Huang transform (HHT) algorithm are integrated to analyze signal extract characteristics. Second, smooth trajectory planning is ...

In order to solve the problem that dual Mach Zehnder (M-Z) interferometer system is easily affected by external environmental noise, a data signal-processing scheme based on Hilbert–Huang transform (HHT) proposed achieve high-precision location with distributed optical fibers. The polarization compensation module has built-in Sagnac which used stabilize state of interferometer. eigenmode functi...

This paper proposes a fault-detection system for faulty induction motors (bearing faults, interturn shorts, and broken rotor bars) based on multiresolution analysis (MRA), correlation fitness values-based feature selection (CFFS), artificial neural network (ANN). First, this study compares two feature-extraction methods: the MRA Hilbert Huang transform (HHT) induction-motor-current signature an...