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  1. SubspacebasedblindadaptivemultiuserdetectionusingK

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  2. A new blind adaptive multiuser detection scheme based on a hybrid of Kalman filter and subspace estimation is proposed. It is shown that the detector can be expressed as an anchored signal in the signal subspace and the coefficients can be estima
  3. 所属分类:行业发展研究

    • 发布日期:2008-10-13
    • 文件大小:389264
    • 提供者:rifer
  1. Secure Web Forms with Client-Side Signatures

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  2. The World Wide Web is evolving from a platform for infor- mation access into a platform for interactive services. The interaction of the services is provided by forms. Some of these services, such as bank- ing and e-commerce, require secure, non-repu
  3. 所属分类:行业发展研究

  1. Introduction-to-Signcryption

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  2. Signcryption is a new paradigm in public key cryptography that simultaneously fulfils both the functions of digital signature and public key encryption in a logically single step, and with a cost significantly lower than that required by the traditio
  3. 所属分类:Development Research

    • 发布日期:2017-12-03
    • 文件大小:106545
    • 提供者:kairazor
  1. schnorr-algo-for-signcryption

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  2. SIGNCRYPTION SCHEME BASED ON SCHNORR DIGITAL SIGNATURE
  3. 所属分类:Development Research

    • 发布日期:2017-12-02
    • 文件大小:122807
    • 提供者:kairazor
  1. IEEE_00770826-1998

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  2. ON A NEW APPROACH OF INSERTION OF CONFIDENTIAL DIGITAL SIGNATURE INTO IMAGES
  3. 所属分类:Development Research

    • 发布日期:2017-04-25
    • 文件大小:224466
    • 提供者:alame
  1. FACE3D

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  2. Abstract. We present a novel 3D face recognition approach based on geometric invariants introduced by Elad and Kimmel. The key idea of the proposed algorithm is a representation of the facial surface, invari- ant to isometric deformations, such
  3. 所属分类:Development Research

    • 发布日期:2015-06-26
    • 文件大小:434176
    • 提供者:arkan
  1. P2_1-s2.0-S0031320310003675-main

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  2. Off-line signature verification based on grey level information using texture features
  3. 所属分类:Development Research

    • 发布日期:2017-04-04
    • 文件大小:617151
    • 提供者:HOU
  1. EEG-for-biometrics

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  2. Biometric recognition is the science of establishing the identity of a person using his/her physical or biological characteristics. Biometric systems can employ different kinds of features, e.g., features of fingerprint, face, iris or posture. EEG si
  3. 所属分类:Development Research

    • 发布日期:2017-04-25
    • 文件大小:417307
    • 提供者:ARUNA RAJAN
  1. A Simple and Efficient Computational Approach to Chafed Cable Time-Domain Reflectometry Signature Prediction - Marc E. K

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  2. A Simple and Efficient Computational Approach to Chafed Cable Time-Domain Reflectometry Signature Prediction - Marc E. Kowalski
  3. 所属分类:行业发展研究

    • 发布日期:2016-11-06
    • 文件大小:73571
    • 提供者:modyking
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