Showing 1 - 20 results of 26 for search '"blindness"', query time: 0.09s Refine Results
  1. 1

    Blind identification of multi-rate sampled plants by Yu, Chengpu, Zhang, Cishen, Xie, Lihua

    Published 2013
    “…This paper presents a blind identification algorithm for single-input single-output (SISO) plants using an oversampling technique with each input symbol lasting for several sampling periods. …”
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    Conference Paper
  2. 2

    A novel maximum-likelihood method for blind multichannel identification by Yu, Chengpu, Zhang, Cishen, Xie, Lihua

    Published 2014
    “…Deterministic blind identification algorithms of single-input and multi-output (SIMO) systems can effectively estimate channel functions and the common source signal at high signal-noise-ratio (SNR) and small available data sample scenarios. …”
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    Conference Paper
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  5. 5

    Non-blind audio-watermarking using compression-expansion of signals by Foo, Say Wei

    Published 2009
    “…One of the advantages of non-blind watermarking scheme is that the original signal must be available to extract the watermark. …”
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    Conference Paper
  6. 6

    Exploring the effectiveness of video perceptual representation in blind video quality assessment by Liao, Liang, Xu, Kangmin, Wu, Haoning, Chen, Chaofeng, Sun, Wenxiu, Yan, Qiong, Lin, Weisi

    Published 2024
    “…With the rapid growth of in-The-wild videos taken by non-specialists, blind video quality assessment (VQA) has become a challenging and demanding problem. …”
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    Conference Paper
  7. 7

    A blind audio watermarking scheme using peak point extraction by Foo, Say Wei, Xue, Feng, Li, Mengyuan

    Published 2009
    “…In this paper, a blind digital audio watermarking scheme is proposed. …”
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    Conference Paper
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    Application of intuitionistic fuzzy histon segmentation for the automated detection of optic disc in digital fundus images by Mookiah, Muthu Rama Krishnan, Acharya, U. Rajendra, Chua, Chua Kuang, Lim, Choo Min, Ng, Eddie Yin-Kwee, Mushrif, Milind M., Laude, Augustinus

    Published 2013
    “…Uncontrolled diabetes retinopathy (DR) and glaucoma may lead to blindness. Optic disc helps to identify the different stages of DR, and glaucoma. …”
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    Conference Paper
  11. 11

    Bessel-Gauss beam light sheet assisted fluorescence imaging of Trabecular meshwork in the Iridocorneal region using long working distance objectives by Sandeep, C. S. Suchand, Sreelatha, Sarangapani, Baskaran, Mani, Hong, Jeesmond Xun Jie, Aung, Tin, Murukeshan, Vadakke Matham

    Published 2020
    “…Glaucoma is one of the leading cause of blindness characterized by increased intra ocular pressure (IOP), visual field defects and irreversible loss of vision. …”
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    Conference Paper
  12. 12

    Location privacy-preserving mobile crowd sensing with anonymous reputation by Yi, Xun, Lam, Kwok-Yan, Bertino, Elisa, Rao, Fang-Yu

    Published 2020
    “…The solution makes use of the blind signature technique for anonymous authentication and allows a mobile user to participate in the MCS for certain times set in the registration. …”
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    Conference Paper
  13. 13

    Parameter identification of Reed-Solomon codes over noisy environment by Swaminathan, Ramabadran, Madhukumar, A. S., Wang, Guohua, Ting, Shang Kee

    Published 2020
    “…Blind reconstruction of code parameters plays a vital role in non-cooperative applications. …”
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    Conference Paper
  14. 14

    Code parameter estimation from noisy data : TPC by Swaminathan, Ramabadran, Madhukumar, A. S.

    Published 2020
    “…A novel algorithm has been proposed for the blind estimation of two-dimensional turbo product code (TPC) parameters over noisy channel conditions. …”
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    Conference Paper
  15. 15

    A method based on L-BFGS to solve constrained complex-valued ICA by Nguyen, Anh Hai Trieu, Reju, V. G., Khong, Andy Wai Hoong

    Published 2020
    “…Complex-valued independent component analysis (ICA) is a celebrated method in blind separation of complex-valued signals. In this paper, we propose to transform the constrained optimization problems of complex-valued ICA into unconstrained optimization problems which can be solved by limited-memory Broyden–Fletcher–Goldfarb–Shanno update (L-BFGS). …”
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    Conference Paper
  16. 16

    Joint reconstruction of Reed-Solomon encoder and convolutional interleaver in a noisy environment by Swaminathan, Ramabadran, Madhukumar, A. S., Wang, Guohua, Ting, Shang Kee

    Published 2020
    “…Blind estimation of code and interleaver parameters plays a vital role in various applications such as non-cooperative systems, adaptive modulation and coding, signal intelligence, etc. …”
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    Conference Paper
  17. 17

    Audio watermarking using time frequency compression expansion by Foo, Say Wei, Ho, Shuet Mun, Ng, Ling Mei

    Published 2009
    “…A novel non-blind digital audio watermarking scheme using time-frequency based operations is presented. …”
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    Conference Paper
  18. 18

    Audio-watermarking with stereo signals by Foo, Say Wei

    Published 2009
    “…In this paper, we propose a non-blind audiowatermarking scheme based on compression-expansion of stereo signals. …”
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    Conference Paper
  19. 19

    Modified YASS algorithm with virtual host block selection and model based embedding by Tian, Jing., Lv, Xianming., Ma, Lihong.

    Published 2013
    “…Yet Another Steganography Scheme (YASS), a promising steganographic scheme for JPEG images which can resist blind steganlysis via embedding data in randomized locations. …”
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    Conference Paper
  20. 20

    Robust sparse nonnegative matrix factorization based on maximum correntropy criterion by Peng, Siyuan, Ser, Wee, Lin, Zhiping, Chen, Badong

    Published 2020
    “…Nonnegative matrix factorization (NMF) is a significant matrix decomposition technique for learning parts-based, linear representation of nonnegative data, which has been widely used in a broad range of practical applications such as document clustering, image clustering, face recognition and blind spectral unmixing. Traditional NMF methods, which mainly minimize the square of the Euclidean distance or the Kullback-Leibler (KL) divergence, seriously suffer the outliers and non-Gaussian noises. …”
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    Conference Paper