Influenza vaccination for immunocompromised patients: systematic review and meta-analysis from a public health policy perspective.

Immunocompromised patients are vulnerable to severe or complicated influenza infection. Vaccination is widely recommended for this group. This systematic review and meta-analysis assesses influenza vaccination for immunocompromised patients in terms of preventing influenza-like illness and laboratory confirmed influenza, serological response and adverse events

Bispectral properties of the simplest dissipative nonautonomous chaotic circuit

The transition from periodicity to chaos for the simplest dissipative nonautonomous circuit is examined in the bispectral domain. The bispectrum and the corresponding bicoherence spectrum demonstrate the complex nonlinear interactions that the circuit exhibits

Hyperbolic wavelet family

This article reports early results on digital implementation of first- and nth-order hyperbolic wavelets whose important parameters are explicitly expressed and numerically estimated. The first-order hyperbolic, Morlet and Choi-Williams wavelets are compared in detail by numerically calculating their band-peak frequencies, minimum numbers of sampling points, scale resolutions, and maximum numbers of scales. One of the main aims is to show that there exists a strong link among time-frequency kernels and wavelets. This relationship helps to expand and link time-frequency and wavelet approaches to signal analysis. One example of using the hyperbolic wavelet for speech recognition is also given

Hyperbolic wavelet power spectra of nonstationary signals

The hyperbolic kernel and hyperbolic wavelet were shown to be useful and effective in time-frequency signal processing (Le et al. , 2001 and 2003). We introduce the time-frequency wavelet power spectrum as a useful technique to study signal characteristics in which the hyperbolic and sym3 wavelets are employed. The hyperbolic wavelet power spectrum technique is employed for signals including electrocardiogram (ECG), sinusoidal, transient exponential, music, and speech. Comparisons between the Fourier power spectrum technique and hyperbolic wavelet power spectrum technique are also made

Hyperbolic kernel for time-frequency power spectrum

We propose a new family of hyperbolic kernels Φhyperbolic(θ, τ) = [sech(βθτ)]n, where n=1,3,5,⋯, for a joint time-frequency distribution. The first-order hyperbolic kernel sech(βθτ) is mainly considered. Theoretical aspects of the new hyperbolic kernel are examined in detail. The effectiveness of a kernel is determined by three factors: cross-term suppression, auto-term resolution, and noise robustness. The effectiveness of the new kernel is compared with other kernels including Choi-Williams, Wigner-Ville, and multiform tiltable exponential using two different signals: complex-exponential and chirp

On mathematical derivations of auto-term functions and signal-to-noise ratios of the Choi–Williams, first- and nth-order hyperbolic kernels

This paper continues investigations on the hyperbolic kernel family [K.N. Le et al., Opt. Eng. 42 (8) (2003) 2400-2415] by giving further mathematical insight into auto-term and noise robustness properties of the first-order hyperbolic, Choi-Williams (CW) and nth-order hyperbolic kernels, for which explicit expressions are derived and approximated for useful values of kernel control parameters β, σ and kernel order n. Simulation results are also given to support the mathematical approximations