@article{MAKHILLIJSSCEA20158128732,
    title = {A Heuristics Based Adaptive Audio Watermarking Scheme Through SVD-KFDA},
    journal = {International Journal of System Signal Control and Engineering Application},
    volume = {8},
    number = {1},
    pages = {11-18},
    year = {2015},
    issn = {1997-5422},
    doi = {ijssceapp.2015.11.18},
    url = {https://makhillpublications.co/view-article.php?issn=1997-5422&doi=ijssceapp.2015.11.18},
    author = {Koyi Lakshmi and},
    keywords = {Audio watermarking,Kernel Fisher Discriminant Analysis (KFDA),Singular Value Decomposition (SVD),energy relationship modulation,synchronization code},
    abstract = {The heuristics based adaptive audio watermarking technique using SVD-KFDA is proposed in this study. The audio signal is segmented by sub-frames and synchronization code embedded with watermarked signal. On other side, the down-sampling and modulation process using energy relationship is anticipated in order ensure reliable and robust fidelity on watermarked signal. The heuristics process identifies the native energy relationship among sub-frames which is hidden in the watermarked signal through SVD-KFDA. The heuristics based adaptive model is more resilient and can propose extraordinary robustness on usual acoustic data processing and outbreaks associated with common watermarking methods. This system exposes feasibility on implementation and derives less evaluation complexity.}
    }