A high-order signal model is proposed in which the states are Kronecker tensor products of probability distributions. This model enables an optimal linear filter to be specified. A minimum residual error variance criterion may be used to select the number of discretizations and Kronecker products. The filtering of LIDAR data from a coal shiploader environment is investigated. It is demonstrated that the proposed method can outperform conventional Kalman and hidden Markov model filters.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    High-Order Filtering of LIDAR Data to Assist Coal Shiploading


    Contributors:


    Publication date :

    2017-06-01


    Size :

    311344 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Mobile shiploading and stacking

    Woodbine, B. | Tema Archive | 1993


    Shiploading bulk materials at Long Beach, Calif

    Vickers, Jr., C.L. / Tousley, A.H. | Engineering Index Backfile | 1963


    New Shiploading System for Pacific Coast Terminals

    Harwood, P. / Cowdell, S. R. / American Society of Civil Engineers; Committee on Ports and Harbors et al. | British Library Conference Proceedings | 1998


    HW Carlsen Equipment Orders Detailed: Cement Shiploading

    British Library Online Contents | 1994


    Dual-Linear Loader - A Cost Breakthrough in Shiploading

    Soros, P. | British Library Online Contents | 1993