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Blind identification of multi-rate sampled plants
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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2
A novel maximum-likelihood method for blind multichannel identification
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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3
A new blind ECDSA scheme for bitcoin transaction anonymity
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4
Towards robust blind face restoration with codebook lookup transformer
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5
Non-blind audio-watermarking using compression-expansion of signals
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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6
Exploring the effectiveness of video perceptual representation in blind video quality assessment
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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7
A blind audio watermarking scheme using peak point extraction
Published 2009“…In this paper, a blind digital audio watermarking scheme is proposed. …”
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8
Content-dependency reduction with multi-task learning in blind stitched panoramic image quality assessment
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10
Application of intuitionistic fuzzy histon segmentation for the automated detection of optic disc in digital fundus images
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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11
Bessel-Gauss beam light sheet assisted fluorescence imaging of Trabecular meshwork in the Iridocorneal region using long working distance objectives
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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12
Location privacy-preserving mobile crowd sensing with anonymous reputation
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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13
Parameter identification of Reed-Solomon codes over noisy environment
Published 2020“…Blind reconstruction of code parameters plays a vital role in non-cooperative applications. …”
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14
Code parameter estimation from noisy data : TPC
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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15
A method based on L-BFGS to solve constrained complex-valued ICA
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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16
Joint reconstruction of Reed-Solomon encoder and convolutional interleaver in a noisy environment
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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17
Audio watermarking using time frequency compression expansion
Published 2009“…A novel non-blind digital audio watermarking scheme using time-frequency based operations is presented. …”
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18
Audio-watermarking with stereo signals
Published 2009“…In this paper, we propose a non-blind audiowatermarking scheme based on compression-expansion of stereo signals. …”
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19
Modified YASS algorithm with virtual host block selection and model based embedding
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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20
Robust sparse nonnegative matrix factorization based on maximum correntropy criterion
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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