One of the main milestones in the study of opto-mechanical system is to increase the sensitivity of weak forces measurement up to the standard quantum limit. We have studied the detection of weak force under a bistable condition in red detuned regime. In this case, dynamics of the system behaves asymptotically similar to stationary state and applying external force affects phase and fluctuation...

In this paper novel compression techniques are developed for portable heart-monitoring equipment that could also form the basis for more intelligent diagnostic systems thanks to the way the compression algorithms depend on signal classification. There are two main categories of compression which are employed for electrocardiogram signals: lossless and lossy. Design of an optimal Wiener filter i...

The extraction of non-stationary feature information under strong noise background is a difficult problem. In this paper, novel general time-varying scale transformation aperiodic stochastic resonance proposed to extract and enhance the weak signal background. theoretical framework parameters Duffing system built for resonance. By studying region migration when coefficient takes different value...

In many non-stationary signal processing applications such as electroencephalogram (EEG), it is better to divide the signal into smaller segments during which the signals are pseudo-stationary. Therefore, they can be considered stationary and analyzed separately. In this paper a new segmentation method based on discrete wavelet transform (DWT) and Hiaguchi’s fractal dimension (FD) is proposed. ...

In this paper we propose a new speech enhancement technique based on the application of the Maximum a Posterior Estimator of Magnitude-Squared Spectrum (MSS-MAP) in Stationary Bionic Wavelet Domain. This technique consists at first step in applying the Stationary Bionic Wavelet Transform (SBWT) to the noisy speech signal and then applying the Maximum A Posterior Estimator of MagnitudeSquared Sp...