Search Results - subject:"Discrete wavelet transform"

Forecasting Monthly Electric Energy Consumption Using Feature Extraction

Meng, Ming; Niu, Dongxiao; Sun, Wei - In: Energies 4 (2011) 10, pp. 1495-1507

relatively simple series can be derived when a discrete wavelet transform is used to extract the raw features, namely, the rising …

Persistent link: https://www.econbiz.de/10010668113

Software Implementation of Real-time Discrete Wavelet Transform Algorithm with Filter Banks

Bogdanovs, Nikolajs; Grabs, Elans; Petersons, Ernests - In: International Journal of Information Systems in the … 8 (2016) 2, pp. 70-86

This article describes real-time discrete wavelet transform algorithm implementation for high-level programming … language. The article describes multiscale transform algorithms both for direct discrete wavelet transform and inverse discrete … wavelet transform. This algorithm has been implemented in C++ programming language and tested with Raspberry Pi microprocessor …

Persistent link: https://www.econbiz.de/10012045850

Mobile GPU Computing Based Filter Bank Convolution for Three-Dimensional Wavelet Transform

Zhao, Di - In: International Journal of Mobile Computing and … 7 (2016) 2, pp. 22-35

based parallelization for discrete wavelet transform (sDWT) and coefficient based parallelization for discrete wavelet … transform (cDWT), and the author evaluates the performance of three-dimensional wavelet transform on SoC GPU Tegra K1 …

Persistent link: https://www.econbiz.de/10012046453

Efficient Energy Saving Cryptographic Techniques with Software Solution in Wireless Network

Sawlikar, Alka Prasad; Khan, Zafar Jawed; Akojwar, … - In: International Journal of Synthetic Emotions (IJSE) 7 (2016) 2, pp. 78-96

To reduce communication costs, to protect our data from eavesdropping and from unauthorized users, cryptographic algorithms are used. Cryptographic module has to be developed for combining the operation of compression and encryption synchronously on the file. The information file is preliminary...

Persistent link: https://www.econbiz.de/10012047564

An Improved Security 3D Watermarking Method Using Computational Integral Imaging Cryptosystem

Liu, Yiqun; Wang, Xiaorui; Zhang, Jianqi; Zhang, Minqing; … - In: International Journal of Technology and Human … 12 (2016) 2, pp. 1-21

implemented with smart pseudoscopic-to-orthoscopic conversion (SPOC) model. Secondly, discrete wavelet transform algorithm is …

Persistent link: https://www.econbiz.de/10012048441

Software implementation of realtime discrete wavelet transform algorithm with filter banks

Bogdanovs, Nikolajs; Grabs, Elans; Petersons, Ernests - In: International journal of information systems in the … 8 (2016) 2, pp. 70-86

Persistent link: https://www.econbiz.de/10011493945

Wavelet decomposition of heterogeneous investment horizon

Chen, W. D.; Li, H. C. - In: Journal of economics and finance 40 (2016) 4, pp. 714-734

Persistent link: https://www.econbiz.de/10011659067

Asymmetry of Information Flow Between Volatilities Across Time Scales

Gencay, Ramazan; Gradojevic, Nikola; Selcuk, Faruk; … - Rimini Centre for Economic Analysis (RCEA) - 2009

Conventional time series analysis, focusing exclusively on a time series at a given scale, lacks the ability to explain the nature of the data generating process. A process equation that successfully explains daily price changes, for example, is unable to characterize the nature of hourly price...

Persistent link: https://www.econbiz.de/10008487534

Discrete wavelet transform-based denoising technique for advanced state-of-charge estimator of a lithium-ion battery in electric vehicles

Lee, Seongjun; Kim, Jonghoon - In: Energy 83 (2015) C, pp. 462-473

inevitable. Therefore, this manuscript describes the design and implementation of a DWT (discrete wavelet transform … noise. Third, the desired de-noised DCV signal is reconstructed by taking the IDWT (inverse discrete wavelet transform) of …

Persistent link: https://www.econbiz.de/10011264371

Multifractal formalism by enforcing the universal behavior of scaling functions

Mukli, Peter; Nagy, Zoltan; Eke, Andras - In: Physica A: Statistical Mechanics and its Applications 417 (2015) C, pp. 150-167

Despite its solid foundations, multifractal analysis is still a challenging task. The ‘inversed’ singularity spectrum is a major pitfall in standard multifractal analyses especially for empirical signals. To resolve this issue, we identified the fan-like convergent geometry of scaling...

Persistent link: https://www.econbiz.de/10011077874