Analyzing the ocean acoustic environment is a tricky task. Background noise and variable channel transmission make it complicated to implement accurate ship-radiated recognition. Existing recognition systems are weak in addressing underwater environment, thus leading disappointing performance practical application. In order keep system robust various environments, this work proposes an adaptive...

This project presents an adaptive blind wavelet-based watermarking scheme using tree mutual differences (ABW-TMD). This watermarking scheme was innovated for image in wireless sensor network. by using Discrete Wavelet Transform (DWT) to hide watermark in frequency domain. The ABW-TMD scheme proves its robust in wireless sensor network, specially according to packet loss ratio parameter

Typical parameterization schemes utilize linear prediction or melscaled filter-banks, which are classic windowed DFT based methods. In this paper a new optimized adaptive wavelet parameterization scheme is presented. A novel extension of the Best Basis algorithm is used on wavelet-packet cosine transform (WPCT) instead of typical filter bank. Obtained features are tested using Polish language H...

A new approach has been proposed to reduce the computations involved in the ISAR imaging, which uses Harmonic Wavelet (HW) based Time-Frequency Representation (TFR). Since the HW based TFR falls into a category of non-parametric Time-Frequency (T-F) analysis tool, it is computationally efficient compared to parametric T-F analysis tools such as Adaptive Joint Time-Frequency Transform (AJTFT), A...

In this paper, we extend the statistical model-based Estimation-Quantization (EQ) wavelet image coding algorithm introduced in [7] to include an adaptive transform component. For this, we resort to the rich, spacefrequency diverse, and easy-to-search library of transforms provided by the family of wavelet packet (WP) bases and their adaptive extensions. We use ratedistortion criteria to find th...

In the Active Shape Model, the most time consuming and scientifically unsatisfactory part of building shape models is the labeling of the training images. Manually placing hundreds (in 2D) of points on every image is both tedious and error prone. To reduce the burden, the combination of the image edge information and the traditional manual calibration methods have been developed. This method im...

This paper proposes a spatial video de-noising method based on adaptive filtering and temporal filtering as it requires less computation time and suitable for real-time applications. video de-noising rely on spatial adaptive temporal filtering is offered. Initially in the adaptive spatial filtering, DWT (discrete wavelet transfer) is applied on all frame. These co-efficient are used to alter tr...

This paper presents Mean Best Basis algorithm, an extension of the well known Best Basis Wickerhouser’s method, for an adaptive wavelet decomposition of variable-length signals. A novel approach is used to obtain a decomposition tree of the wavelet-packet cosine hybrid transform for speech signal feature extraction. Obtained features are tested using the Polish language hidden Markov model phon...

The performance of image denoising algorithms using the Double Tree Complex Wavelet Transform, DT CWT, followed by a local adaptive bishrink filter can be improved by reducing the sensitivity of that filter with the local marginal variance of the wavelet coefficients. In this paper is proposed a solution for the sensitivity reduction based on enhanced diversity.

a r t i c l e i n f o a b s t r a c t Dynamic load balancing Wavelets Lifting scheme Second generation wavelets Adaptive grid Multiresolution Multilevel method Multigrid method Numerical method Partial differential equations Elliptic problem A parallel adaptive wavelet collocation method for solving a large class of Partial Differential Equations is presented. The parallelization is achieved by...