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    HIGH-PASS FILTER MODULE AND METHOD FOR DETERMINING FILTER COEFFICIENTS
    2.
    发明公开
    HIGH-PASS FILTER MODULE AND METHOD FOR DETERMINING FILTER COEFFICIENTS 审中-公开

    公开(公告)号：EP4068629A1

    公开(公告)日：2022-10-05

    申请号：EP21165912.3

    申请日：2021-03-30

    申请人： Rohde & Schwarz GmbH & Co. KG

    发明人： Weikert, Oomke

    IPC分类号： H03H17/02 ,  H03H17/06 ,  H03H21/00

    摘要： A high-pass filter module (10) is described. The high-pass filter module (10) comprises a signal input (12), a signal output (14), and a polyphase filter (16). The polyphase filter (16) is connected to both the signal input (12) and the signal output (14). The signal input (12) is configured to receive an input signal that comprises a set of input signal samples. The polyphase filter (16) is configured to determine additional samples based on the input signal samples, thereby obtaining an output signal comprising an augmented set of input signal samples. Filter coefficients of the polyphase filter (16) depend on an inverse of an autocorrelation matrix of the input signal. Each element of the autocorrelation matrix comprises a respective weighting factor, wherein the weighting factors each comprise a sign-alternating factor, wherein the sign-altering factor alters its sign between neighboring input signal samples. Further, a method for determining filter coefficients of a high-pass filter module (10) is described.

    ADAPTIVE IDENTIFICATION SYSTEM, ADAPTIVE IDENTIFICATION DEVICE, AND ADAPTIVE IDENTIFICATION METHOD
    6.
    发明公开
    ADAPTIVE IDENTIFICATION SYSTEM, ADAPTIVE IDENTIFICATION DEVICE, AND ADAPTIVE IDENTIFICATION METHOD 审中-公开

    公开(公告)号：EP3772179A1

    公开(公告)日：2021-02-03

    申请号：EP20187820.4

    申请日：2020-07-27

    申请人： Alpine Electronics, Inc.

    发明人： SUGAI, Taku ,  SAITO, Nozomu

    IPC分类号： H03H21/00 ,  H03H17/02

    摘要： An adaptive identification system (110), for identifying a propagation system (11) characteristic by an adaptive filter (111), includes a signal generator that generates an identification input signal including a frequency component of an integer multiple of a fundamental frequency and having a periodicity satisfying a condition of being persistently exciting, a setting unit that sets moving average time to a fundamental period of the identification input signal, and an adaptive algorithm execution unit that uses a moving average value and a diagonal matrix to update a coefficient of the adaptive filter, the moving average value being obtained by calculating a moving average of a cross-correlation vector of a vector of the identification input signal and an observation signal with the moving average time, and the diagonal matrix being obtained by diagonalizing a matrix obtained by calculating a moving average of an autocorrelation matrix of the vector of the identification input signal with the moving average time.