[PDF] Top 20 Some Results on the Wavelet Packet Decomposition of Nonstationary Processes

... Nonstationary processes have recently received an increasing attention in the signal processing community, due to their wide applicability in modeling natural phenomena gener- ated by physical systems with ... See full document

... adaptive wavelet packet(WP) decomposition along with the improved neighboring window method, which can determine neighbouring window size for every subband by using Stein’s unbiased risk estimate ... See full document

... good results (Figure 4(c)), even in case of very low contrast, because of the average e ff ect, and because there is no need of parameter tuning as we use a maximization ... See full document

... Here the base signals which constitutes the TDM signal may have variety of properties. These signals will be effected by noise in a different way from each other. Hence there is no choice to use different denoising ... See full document

... the results are ...Discrete Wavelet Transform (DWT) in [7], versus Discrete Wavelet Packet Transform (DWPT) in this ...discrete wavelet packet transform, both the scaling and ... See full document

... As mentioned earlier, the proposed and the baseline methods are also evaluated in terms of subjective tests: MOS and ABX. Mean opinion score is a quality evalua- tion test for the synthesized speech and ABX is the test ... See full document

... on wavelet packet decomposition and support vector regression (WDSVR) is proposed, which used the multi-resolution and equivalent frequency distribution ability of the wavelet transform to ... See full document

... paper, Wavelet Packet Decomposition (WPD) and Neural Network (NN) based data mining model (WPDNNM) is explored for keyword ...Then, some significant features are extracted from the decomposed ... See full document

... the wavelet co- efficients using the wavelet packet decomposition ...these wavelet coe ffi cients and the feature vectors were ...nition results were ... See full document

... on wavelet packet transform ...of wavelet packet analysis (WPA) with various wavelet basis sets is elabo- ...Since wavelet packet decomposition can provide more ... See full document

... Haar wavelet in order to extract the deterministic patterns in a person’s iris in the form of a feature ...Our results show that our system is quite effective ... See full document

... single wavelet packets tree precedent numerous decomposition options wavelet packet decomposition of a signal, results in a considerable redundancy and an increase in the number ... See full document

... value decomposition (SVD) is a new and important transform technique in robust digital watermarking due to its different properties from the traditional trans- forms such as Discrete Cosine Transform (DCT) and ... See full document

... Discrete Wavelet Packet Transformation (DWPT), Singular Value Decomposition (SVD) and enhanced Run Length Encoding (RLE) is proposed to compress the background and non-ROI ...Binary Wavelet ... See full document

... mode decomposition method has been successfully applied in many fields, the actual effect is very ...signal decomposition and the time-frequency ...of wavelet packet noise reduction to provide ... See full document

... Abstract— Protection of digital multimedia content has become an increasingly important issue for content owners and service providers. As watermarking is identified as a major technology to achieve copyright protection, ... See full document

... shows some subbands of the MWTTs obtained using the pseudo-averaging ...class. Some of the template subbands at various decomposition levels are shown in Figures 2 and ... See full document

... and wavelet packet decomposition is used to generate 64 wavelet packages bit iris code so as to match the iris codes with Hamming distance criteria and evaluate different energy ...because ... See full document

... with wavelet analysis, wavelet packet analysis is a much more detailed decomposition and analyzes further to the part of high frequency in multi-resolution analysis which is not segmented so ... See full document

... optimal wavelet based on auditory perception criterion for dyadic filter bank ...optimized wavelet is based on the critical band (CB) structure and the temporal resolution of human auditory system ... See full document