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To reduce harmonics in the AC voltage signal, a precise bound-pass RC filter named `waveform purer' is designed with a double-T network in the negative feedback loop. This filter keeps fundamental frequency unvaried, in both phase and amplitude, but greatly reducing harmonics. Related principles are discussed, including the `bridge balance principle' of double-T network and the `three time constants...
This article presents an edge detection method using fast Bidimensional EMD and mathematical morphological methods. It is shown that the detection results are better than other comparable algorithms. The optimization of the presented algorithm extracts sufficient features for intended applications.
Stress in human speech can be detected by various methods know as Voice Stress Analysis (VSA). The detection is accomplished by measuring the frequency shift of a microtremor normally residing in the frequency range of 8 to 12 Hz when not stressed. Conventional detection methods include Fast Fourier Transform (FFT) or McQuiston-Ford algorithm. This paper presents a new method called Adaptive Empirical...
In this presentation two event-related potentials, mismatch negativity (MMN) and P3a, are extracted from EEG by non-negative matrix factorization (NMF) simultaneously. Typically MMN recordings show a mixture of MMN, P3a, and responses to repeated standard stimuli. NMF may release the source independence assumption and data length limitations required by fast independent component analysis (FastICA)...
The complex discrete wavelet transform having perfect translation invariance has already been proposed. However, its frequency density is fixed by octave filter banks and its time density is fixed by constant intervals between wavelets. In this paper, a novel complex discrete wavelet transform based on perfect translation invariance is designed to create variable time-frequency density. This transform...
A matching pursuit decomposes any signal into a linear expansion of waveforms that belong to a dictionary of functions. These waveforms are selected in order to best match the signal structures. For dictionaries of functions that have a wide range of different time-frequency localizations, a matching pursuit yields an adaptive time-frequency transform. The authors derive a signal energy distribution...
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