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...

Recently, digital contents are copied easily because of the development of digital technology. So digital watermark technique which aims at copyright protection of digital contents becomes more and more important, and various watermarking methods have been proposed. In this paper, we proposed a method of digital watermark for still image by using wavelet packets, and examine the robustness of t...

The problem of speech modeling is handled here using a new technique. The features are extracted from wavelet packets decomposition of speech signal. Wavelet packet bands are chosen to match the natural hearing response. Widgets are fixed probabilistic patterns that may be utilized to monitor specific physical phenomena. Many widgets may be designed to express some phenomena like speech end poi...

In this paper various auditory masking models recently developed for audio coding are compared and evaluated for telephone bandwidth speech coding applications. Four such models are outlined and their performance evaluated using a Wavelet Packet Transform based subband coder. The models are compared on the basis of the resulting perceptual speech quality and bit rate requirements. Results show ...

Traditional features, which are extracted from each frame, can not reflect the dynamic characteristics of emotion speech signal accurately. To solve this problem, first, without dividing the emotion speech into frames, novel global utterance-level features are proposed with multi-scale optimal wavelet packet decomposition; then, considering the case of little training samples, a fusion strategy...

For the digital watermarking patchwork algorithm originally given by Bender et al., this paper proposes two improvements applicable to audio watermarking. First, the watermark embedding strength is psychoacoustically adapted, using the Bark frequency scale. Second, whereas previous approaches leave the samples that do not correspond to the data untouched, in this paper, these are modified to re...

The objective of this paper is to construct wavelet packets associated with multiresolution analysis on locally compact Abelian groups. Moreover, from the collection of dilations and translations of the wavelet packets, we characterize the subcollections which form an orthonormal basis for L(G).

A generalization of the Discrete Wavelet Packet Transform (DWPT), referred to as Overlapping Discrete Wavelet Packet Transform (ODWPT), is proposed. In contrast to the traditional DWPT, the ODWPT assumes overlapping among the frequency sub-bands at various levels of the transform. Based on this overlapping strategy, a new set of speech features that is specially designed for speaker recognition...

The concept of vector-valued multiresolution analysis on local field of positive characteristic was considered by Abdullah [Vector-valued multiresolution analysis on local fields of positive characteristic, Analysis. 34(2014) 415-428]. We construct the associated wavelet packets for such an MRA and investigate their properties by virtue of the Fourier transform. Moreover, it is shown how to obt...