Electromyogram (EMG) contains rich information for motion decoding. As one of its major applications, EMG-pattern recognition (PR)-based control of prostheses has been proposed and investigated in the field of rehabilitation robotics for decades. These prostheses can offer a higher level of dexterity compared to the commercially available ones. However, limited progress has been made toward cli...

With the development of industry, more large-scale non-linear loads are added to existing power systems and they cause the serious power quality (PQ) problems to the nearby sensitive installations more and more. To protect the important loads and mitigate the impact of PQ disturbances on them, various compensating devices are installed. One of the most important control skills used in the compe...

Traditional speech processing methods for laryngeal pathology assessment assume linear speech production, with measures derived from an estimated glottal ow waveform. They normally require the speaker to achieve complete glottal closure, which for many vocal fold pathologies cannot be accomplished. To address this, a nonlinear signal processing approach is proposed which employs a di erential T...

Studies have shown that distortion introduced by stress or emotion can severely reduce speech recognition accuracy. Techniques for detecting or assessing the presence of stress could help neutralize stressed speech and improve robust-ness of speech recognition systems. Although some acoustic variables derived from linear speech production theory have been investigated as indicators of stress, t...

A novel digital watermarking for image authentication is proposed in this paper. Most previous proposed watermarking algorithms embed sequences of random numbers as watermarks. Here images are taken as watermarks for embedding. In the proposed approach, the host image is decomposed into wavelet coefficients. Local entropies of wavelet coefficients in the low-frequency subband are calculated by ...

The automatic recognition and classification of speech under stress has applications in behavioural and mental health sciences, human to machine communication and robotics. The majority of recent studies are based on a linear model of the speech signal. In this study, the nonlinear Teager Energy Operator (TEO) analysis was used to derive the classification features. Moreover, the TEO analysis w...

The trimming capacitor is an important component of a track circuit used for train detection in the railway train control system. In order to ensure the required dependability and availability levels, their working conditions shall be monitored in a timely and efficient manner. This paper presents a diagnosis approach of trimming capacitors based on Empirical Mode Decomposition (EMD) and Teager...

In this paper, a new robust wavelet-based voice activity detection (VAD) algorithm derived from the discrete wavelet transform (DWT) and Teager energy operation (TEO) processing is presented. We decompose the speech signal into four subbands by using the DWT. By means of the multi-resolution analysis property of the DWT, the voiced, unvoiced, and transient components of speech can be distinctly...

Monitoring the progression of maternal uterine activity provides important prognostic information during pregnancy and parturition. Currently used methods for intrauterine pressure (IUP) measurement are unsuitable for long-term observation of uterine activity. The abdominally measured electrohysterogram (EHG) provides a non-invasive alternative to the existing methods for long-term ambulatory u...