The video hiding technique based on DWT and genetic algorithm with boolean functions

Sowmya, G; Meghana, K.; Subbarayudu, B.; Naidu, R. Ch. A.; Keerthi, G

doi:10.1109/ngct.2016.7877528

Cited by 3 publications

(1 citation statement)

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“…where N is an even integer to decompose the set of wavelets from the signals. DWT is also used in video hiding technique [12] and watermarking [13]. In this study, the DWT is applied for the decomposition of modulated signal passed through AWGN channel.…”

Section: Methodsmentioning

confidence: 99%

Automated Modulation Classification System for Software Defined Radio

Alam¹

2018

International Journal of Advances in Signal and Image Sciences

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An Automatic Modulation Classification (AMC) system for Software Defined Radio (SDR) is presented in this study. Initially, the generated signals are modulated using different modulation techniques. Then, noise is added to the generated signals by using Additive White Gaussian Noise (AWGN). The noise added signal is used for further process to extract features and classification. The system uses Discrete Wavelet Transform (DWT) to analyze the signal that produces lower and higher frequency sub-bands. The Independent Component Analysis (ICA) is employed on lower frequency subband for dimensionality reduction. Finally, the classification is made by Pulse Coupled Neural Network (PCNN). The system uses three different digital modulation schemes; Phase Shift Keying (PSK), Quadrature Amplitude Modulation (QAM), and Differential PSK (DPSK). The results show the DWT, ICA and PCNN based AMC system provides promising results under various noise densities.

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Section: Methodsmentioning

confidence: 99%