Wavelet excited measurement of system transfer function.

This article introduces a new method, which is referred to as the wavelet excitation method (WEM), for the measurement of the system transfer function. Instead of commonly used impulse or sine wave excitations, the method uses a sequential excitation by biorthogonal symmetric wavelets. The system transfer function is reconstructed from the output measurements.

Hilbert transform assisted complex wavelet transform for neuroelectric signal analysis.

In this work, we present a new approach for shift invariant complex wavelet analysis of neuroelectric signals. A key idea is to preprocess the signal with the Hilbert transformer to yield an analytic signal, which is then wavelet transformed using the linear phase complex scaling and wavelet filters. In different scales, the total energy of the wavelet transform coefficients is shift invariant.

EEG noise cancellation by a subspace method based on wavelet decomposition.

Background: Noise reduction techniques play an essential role in EEG signal processing applications. A variety of methods are currently in use, including those based on linear filtering and adaptive noise cancellation, as well as subspace-based methods using singular value decomposition (SVD). SVD offers a robust method to decompose the data matrix into signal and noise subspaces.

Alendronate influences bending force of femoral diaphysis after orchidectomy in rats.

Background And Aims: We examined the effect of alendronate on bone following orchidectomy-induced osteoporosis.

Material And Methods: Eighty male rats were used. Group I (C) served as the untreated control.

Pamidronate increases trabecular bone mineral density in immobilization osteopenia in male rats.

Background And Aims: Osteopenia is a common consequence of immobilization. We investigated the effects of pamidronate on immobilized bone in male rats.

Material And Methods: Eighty male Wistar rats (5 months old) were divided in five groups (control (C); pamidronate at 0.