Wavelet-based multiband dynamic range compression is developed to compensate for a common hearing impairment known as recruitment of loudness. The algorithm combines standard compression with intensity-level dependent gain calculation. Complexity and performance are similar to traditional techniques. Further, the methods established here can be applied to the more adaptive wavelet packets and l...

We report on a technique for the radar ship signal extraction from contaminated sea clutter. Group normalization (GN) is presented to overcome that conventional wavelet packet coefficients not appropriately represent the strength of signal. The l entropy is extended to l one to improve the performance. The symmetric, complex wavelet packets are used for radar signal processing.

Wavelet packets have been applied in order to compensate the speech signal to improve the intelligibil-ity for a common hearing impairment known as recruitment of loudness, a sensorineural hearing loss of cochlear origin. We present an architecture that allows selection of the best decomposition tree for each patient , in order to apply this wavelet-packet based para-metric compression algorithm.

Three new theorems based on the generalized Carleson operators for the periodic Walsh-type wavelet packets have been established. An application of these theorems as convergence a.e. for the periodic Walsh-type wavelet packet expansion of block function with the help of summation by arithmetic means has been studied.

Extended Abstract Wavelet packets 14] represent a generalization of the method of multires-olution decomposition and comprise the entire family of subband coded (tree) decompositions 11, 15]. Whereas in the wavelet case the decomposition is applied recursively to the coarse scale approximations (leading to the well known (pyramidal) wavelet decomposition tree), in the wavelet packet decompositi...

Increasing requirements for the technical condition of machines induce the development of novel diagnostic methods for possible fault detection and identification in an early phase. Most of these methods are based on the processing of vibration signals. The classical methods often do not give full information about the actual condition of a machine. Therefore, it is necessary developing the app...

The main goal of the paper is to show that wavelet transforms and packets have the multiparametric representation in the form of a product of the rotation Jacobi matrices. These representations we call the third and the fourth canonical multiparametric form. Each multiparametric wavelet transform (MPWT) depends on several free Jacobi parameters. When parameters are changed multiparametric trans...