The Experts below are selected from a list of 177 Experts worldwide ranked by ideXlab platform

Jian Wang - One of the best experts on this subject based on the ideXlab platform.

  • high Base Vector beam encoding decoding for visible light communications
    Optics Letters, 2015
    Co-Authors: Yifan Zhao, Jian Wang
    Abstract:

    Polarization is a basic property of light. Different from well-known linear, circular, and elliptical polarizations, which are spatially homogeneous, a Vector light beam with spatially variant polarization states has received increasing interest for its expanded functionalities. In this Letter, we present a visible-light communication link exploiting high-Base Vector beam encoding/decoding. Using a single phase-only spatial light modulator, we generate 16 states of Vector beams representing hexadecimal numbers. In the visible-light communication link experiment, we transmit a random high-Base number sequence with 10,000 hexadecimal numbers and a 64×64 pixel Lena gray image with 8192 hexadecimal numbers. The bit error rate is evaluated, and zero error among all received hexadecimal numbers is achieved, showing favorable link communication performance using the high-Base Vector beam encoding/decoding.

  • High-Base Vector beam encoding/decoding for visible-light communications.
    Optics letters, 2015
    Co-Authors: Yifan Zhao, Jian Wang
    Abstract:

    Polarization is a basic property of light. Different from well-known linear, circular, and elliptical polarizations, which are spatially homogeneous, a Vector light beam with spatially variant polarization states has received increasing interest for its expanded functionalities. In this Letter, we present a visible-light communication link exploiting high-Base Vector beam encoding/decoding. Using a single phase-only spatial light modulator, we generate 16 states of Vector beams representing hexadecimal numbers. In the visible-light communication link experiment, we transmit a random high-Base number sequence with 10,000 hexadecimal numbers and a 64×64 pixel Lena gray image with 8192 hexadecimal numbers. The bit error rate is evaluated, and zero error among all received hexadecimal numbers is achieved, showing favorable link communication performance using the high-Base Vector beam encoding/decoding.

Licheng Jiao - One of the best experts on this subject based on the ideXlab platform.

  • Base Vector Selection for Kernel Matching Pursuit
    Lecture Notes in Computer Science, 2006
    Co-Authors: Licheng Jiao
    Abstract:

    Kernel matching pursuit (KMP) is a relatively new learning algorithm to produce non-linear version of conventional supervised and unsupervised learning algorithm. However, it also contains some defects such as storage problem (in training process) and sparsity problem. In this paper, a new method is proposed to pre-select the Base Vectors from the original data according to Vector correlation principle, which could greatly reduce the scale of the optimization problem and improve the sparsity of the solution. The method could capture the structure of the data space by approximating a basis of the subspace of the data; therefore, the statistical information of the training samples is preserved. In the paper, the deduction of mathematical process is given in details and the number of simulation results on artificial data and practical data has been done to validate the performance of Base Vector selection (BVS) algorithm. The experimental results show the combination of such algorithm with KMP can make great progress while leave the performance almost unchanged.

  • ADMA - Base Vector selection for kernel matching pursuit
    Advanced Data Mining and Applications, 2006
    Co-Authors: Licheng Jiao
    Abstract:

    Kernel matching pursuit (KMP) is a relatively new learning algorithm to produce non-linear version of conventional supervised and unsupervised learning algorithm. However, it also contains some defects such as storage problem (in training process) and sparsity problem. In this paper, a new method is proposed to pre-select the Base Vectors from the original data according to Vector correlation principle, which could greatly reduce the scale of the optimization problem and improve the sparsity of the solution. The method could capture the structure of the data space by approximating a basis of the subspace of the data; therefore, the statistical information of the training samples is preserved. In the paper, the deduction of mathematical process is given in details and the number of simulation results on artificial data and practical data has been done to validate the performance of Base Vector selection (BVS) algorithm. The experimental results show the combination of such algorithm with KMP can make great progress while leave the performance almost unchanged.

Yifan Zhao - One of the best experts on this subject based on the ideXlab platform.

  • high Base Vector beam encoding decoding for visible light communications
    Optics Letters, 2015
    Co-Authors: Yifan Zhao, Jian Wang
    Abstract:

    Polarization is a basic property of light. Different from well-known linear, circular, and elliptical polarizations, which are spatially homogeneous, a Vector light beam with spatially variant polarization states has received increasing interest for its expanded functionalities. In this Letter, we present a visible-light communication link exploiting high-Base Vector beam encoding/decoding. Using a single phase-only spatial light modulator, we generate 16 states of Vector beams representing hexadecimal numbers. In the visible-light communication link experiment, we transmit a random high-Base number sequence with 10,000 hexadecimal numbers and a 64×64 pixel Lena gray image with 8192 hexadecimal numbers. The bit error rate is evaluated, and zero error among all received hexadecimal numbers is achieved, showing favorable link communication performance using the high-Base Vector beam encoding/decoding.

  • High-Base Vector beam encoding/decoding for visible-light communications.
    Optics letters, 2015
    Co-Authors: Yifan Zhao, Jian Wang
    Abstract:

    Polarization is a basic property of light. Different from well-known linear, circular, and elliptical polarizations, which are spatially homogeneous, a Vector light beam with spatially variant polarization states has received increasing interest for its expanded functionalities. In this Letter, we present a visible-light communication link exploiting high-Base Vector beam encoding/decoding. Using a single phase-only spatial light modulator, we generate 16 states of Vector beams representing hexadecimal numbers. In the visible-light communication link experiment, we transmit a random high-Base number sequence with 10,000 hexadecimal numbers and a 64×64 pixel Lena gray image with 8192 hexadecimal numbers. The bit error rate is evaluated, and zero error among all received hexadecimal numbers is achieved, showing favorable link communication performance using the high-Base Vector beam encoding/decoding.

R Garcia - One of the best experts on this subject based on the ideXlab platform.

  • gps phase accelerations for moving Base Vector gravimetry
    Journal of Geodesy, 1997
    Co-Authors: C Jekeli, R Garcia
    Abstract:

    For airborne gravimetry using INS and GPS, the accelerations from both systems are differenced to yield the gravity acceleration. Usually, the GPS acceleration is determined by first solving for the position of the vehicle relative to a Base station and subsequently taking two time derivatives of the vertical component. An alternative method is to time-differentiate the observed phases directly, thus avoiding the cycle ambiguity problem that must be solved for positioning and that is fraught with (certainly not insurmountable) difficulties in the event of a cycle slip. Due to the largely unpredictable receiver-clock errors and the imposition of the Selective Availability degradation, doubly differenced (in space) phase accelerations are used to obtain the relative vehicle accelerations. Test results for stationary receivers show that the acceleration Vector can be determined from phase accelerations to an accuracy of 1 mgal for 40-s averages. The mathematical formulation of the acceleration determination also highlights certain other advantages over traditional methods, such as the avoidance of the Eotvos correction, although a similar kind of velocity effect must be determined.

Qiang Hong-fu - One of the best experts on this subject based on the ideXlab platform.

  • Modified Differential Evolution Algorithm with Base Vector Group
    Computer Engineering, 2012
    Co-Authors: Qiang Hong-fu
    Abstract:

    In Base Vector randomly selection,the convergence speed of Differential Evolution(DE) algorithm is low.In order to solve this problem,a Modified DE(MDE) algorithm is proposed.Some good individuals are chosen to form the Base Vector group.Base Vector is chosen from the Base Vector group when mutation is operated.Test functions are used to prove the new algorithm.Results show that the modified algorithm can reduce the selecting range of Base Vector and the iteration times for convergence.