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    • 1. 发明授权
    • Method and system for the detection and/or removal of sinusoidal interference signals in a noise signal
    • 用于在噪声信号中检测和/或去除正弦干扰信号的方法和系统
    • US07840384B2
    • 2010-11-23
    • US11333772
    • 2006-01-17
    • Gregor FeldhausHagen Eckert
    • Gregor FeldhausHagen Eckert
    • H04B15/00
    • H04L25/0206G01R23/16G01R29/26H04B1/1027
    • A method and a system for the detection and/or removal of sinusoidal interference signals in/from a noise signal transforms a measured signal (x(t), x(μ·Δt)) composed of a limited number of sinusoidal interference signals (Ak·ej(ωkt+φk), Ak·ej(μ·ωkΔt+φk)) and a white noise signal (w(t), w(μ·Δt)) into a subspace containing its white noise components and a subspace containing its interference signal components. Following this, the individual sinusoidal interference signals (Ak·ej(ωkt+φk), Ak·ej(μ·ωkΔt+φk)) are determined using an estimation method within the subspace containing the noise components. The entire frequency range is split into several frequency bands (ν), in which the measured signal (x(t), x(μ·Δt)) consists of a limited number (p(ν)) of sinusoidal interference signals (Ak·ej(ωkt+φk), Ak·ej(μ·ωkΔt+φk)) and a white noise signal (w(t), w(μ·Δt)).
    • 用于在噪声信号中检测和/或去除正弦干扰信号的方法和系统将由有限数量的正弦干扰信号组成的测量信号(x(t),x(μ·Dgr; t)) (w·t),w(μ·dG·t))和白噪声信号(w(t),w(μ·&Dgr; t))变换成子空间(Ak·ej(ωkt+&phgr; k),Ak·ej(μ·ωk&Dgr; t +&phgr; k) 包含其白噪声分量和包含其干扰信号分量的子空间。 接下来,使用包含噪声分量的子空间内的估计方法来确定各个正弦干扰信号(Ak·ej(ωkt+&phgr; k),Ak·ej(μ·ωk&Dgr; t +&phgr; k))。 整个频率范围分为几个频带(&ngr;),其中测量信号(x(t),x(μ·&Dgr; t))由有限数量(p(&ngr))的正弦干扰 信号(Ak·ej(ωkt+&phgr; k),Ak·ej(μ·ωk&Dgr; t +&phgr; k))和白噪声信号(w(t),w(μ·&Dgr; t))。
    • 2. 发明申请
    • METHOD AND SYSTEM FOR THE DETECTION AND/OR REMOVAL OF SINUSOIDAL INTERFERENCE SIGNALS IN A NOISE SIGNAL
    • 用于在噪声信号中检测和/或去除SINUSOIDAL干扰信号的方法和系统
    • US20090259439A1
    • 2009-10-15
    • US12430377
    • 2009-04-27
    • Gregor FeldhausHagen Eckert
    • Gregor FeldhausHagen Eckert
    • G06F15/00
    • H04L25/0206G01R23/16G01R29/26H04B1/1027
    • A method for removing sinusoidal interference signals from a noise signal. The method includes transforming a measured signal (x(t), x(μ·Δt)), which is composed of a limited number of sinusoidal interference signals (Ak·ej(ωkt+φk), Ak·ej(ωkμ·Δt+φk)) and a white noise signal (w(t), w(μ·Δt)), into a subspace containing noise components and a subspace containing interference-signal components, and forming the spectrum of only the noise signal using the subspace containing the noise components. The entire frequency range is split into several frequency bands (ν), in which each measured signal (x(t), x(μ·Δt)) consists of a limited number (p(ν)) of sinusoidal interference signals and a white noise signal.
    • 一种从噪声信号中去除正弦干扰信号的方法。 该方法包括将由有限数量的正弦干涉信号(Ak.ej(omegakt + phik),Ak.ej(omegakmu.Deltat +))组成的测量信号(x(t),x(μDelt))变换, phik))和白噪声信号(w(t),w(μDelt))转换成包含噪声分量的子空间和包含干扰信号分量的子空间,并且仅使用包含噪声信号的子空间的子空间形成频谱 噪音成分。 整个频率范围分为几个频带(nu),其中每个测量信号(x(t),x(μDeltat))由有限数量(p(nu))的正弦干扰信号和白色 噪声信号。
    • 3. 发明授权
    • Method and system for noise measurement with combinable subroutines for the measurement, identification and removal of sinusoidal interference signals in a noise signal
    • 噪声测量方法和系统,用于测量,识别和消除噪声信号中正弦干扰信号的可组合子程序
    • US07885421B2
    • 2011-02-08
    • US11333793
    • 2006-01-17
    • Gregor FeldhausHagen Eckert
    • Gregor FeldhausHagen Eckert
    • H04B15/00G01R13/00G06F17/10
    • G01R29/26
    • An approach is provided for measuring, identifying, and removing at least one sinusoidal interference signal (Ak·ej(ωkt+φk), Ak·ej(μ·ωkΔt+φk)) in a noise signal (w(t), w(μ·Δt)). A frequency range to be measured is split into a plurality of frequency bands (ν) via a Fast Fourier Transform (FFT) filter bank. For each of the frequency bands (ν), an autocorrelation matrix ({circumflex over (R)}ν) is determined, wherein parameters of the autocorrelation matrices ({circumflex over (R)}ν) are variably adjusted based on whether the at least one sinusoidal interference signal (Ak·ej(ωkt+φk), Ak·ej(μ·ωkΔt+φk)) is to be measured, identified, or removed and further based on at least one averaging. The autocorrelation matrices ({circumflex over (R)}ν) are jointly utilized for one or more of measuring, identifying, or removing the at least one sinusoidal interference signal (Ak·ej(ωkt+φk), Ak·ej(μ·ωkΔt+φk)) in the noise signal (w(t), w(μ·Δt)).
    • 提供了一种用于在噪声信号(w)中测量,识别和去除至少一个正弦干扰信号(Ak·ej(ωkt+&phgr; k),Ak·ej(μ·ωk&Dgr; t +&phgr; k) (t),w(μ·&Dgr; t))。 要测量的频率范围通过快速傅里叶变换(FFT)滤波器组分成多个频带(&ngr)。 对于每个频带(&ngr;),确定自相关矩阵({R(R)}&ngr)),其中基于(R)}&ngr;)的自相关矩阵的参数({ 是否要至少测量,识别或去除至少一个正弦干扰信号(Ak·ej(ωkt+&phgr; k),Ak·ej(μ·ωk&Dgr; t +&phgr; k)) 一个平均。 自相关矩阵((R)}&ngr;)中的一个或多个共同用于测量,识别或去除至少一个正弦干扰信号(Ak·ej(ωkt+&phgr; k),Ak·ej (μ·ωk&Dgr; t +&phgr; k))的噪声信号(w(t),w(μ·&Dgr; t))。
    • 5. 发明授权
    • Method and device for performing spectrum analysis of a wanted signal or noise signal
    • 用于对有用信号或噪声信号进行频谱分析的方法和装置
    • US08768638B2
    • 2014-07-01
    • US11663939
    • 2005-08-26
    • Gregor FeldhausHagen Eckert
    • Gregor FeldhausHagen Eckert
    • G01R23/16G06F17/14
    • G01R23/167G01R23/18
    • A method and device for performing spectrum analysis of a signal in a plurality of frequency bands with respective different frequency resolutions. The method includes a data acquisition step and a subsequent data evaluation step for every frequency band. The data acquisition step and the subsequent data evaluation step proceeds cyclically and continuously for every frequency band of the spectrum analysis. The corresponding device for performing spectrum analysis of a signal cyclically stores a scanning sequence of the signal for every frequency band in one circular buffer each. A discrete Fourier transformer uses the cyclically stored scanning sequences to calculate the spectral values pertaining to the respective frequency band.
    • 一种用于对具有不同频率分辨率的多个频带中的信号进行频谱分析的方法和装置。 该方法包括用于每个频带的数据获取步骤和随后的数据评估步骤。 对于频谱分析的每个频带,数据采集步骤和随后的数据评估步骤循环地且连续地进行。 用于执行信号的频谱分析的相应装置将每个频带的信号的扫描序列循环地存储在一个循环缓冲器中。 离散傅里叶变换器使用循环存储的扫描序列来计算与相应频带有关的频谱值。
    • 6. 发明授权
    • Method and system for the detection and/or removal of sinusoidal interference signals in a noise signal
    • 用于在噪声信号中检测和/或去除正弦干扰信号的方法和系统
    • US07840385B2
    • 2010-11-23
    • US11966366
    • 2007-12-28
    • Gregor FeldhausHagen Eckert
    • Gregor FeldhausHagen Eckert
    • H04B15/00
    • H04L25/0206G01R23/16G01R29/26H04B1/1027
    • A system for the identification of sinusoidal interference signals from a noise signal is provided. The system includes a unit for the estimation (51, 52, . . . , 5NFFT) of an autocorrelation matrix ({circumflex over (R)}v) of a measured signal (x(t), x(μ·Δt)), composed from the sinusoidal interference signals (Ak·ej(ωkt+φk), Ak·ej(ωkμ·Δt+φk)) and the noise signal (w(t), w(μ·Δt)), a unit (81, 82, . . . , 8NFFT) for frequency estimation, and a unit (91, 92, . . . , 9NFFT) for power-level determination of the spectral lines associated with the sinusoidal interference signals (Ak·ej(ωkt+φk), Ak·ej(ωkμ·Δt+φk)) A Fast Fourier Transform filter bank (1) is additionally provided for the generation of several frequency bands (v) for the measured signal (x(t), x(μ·Δt)), composed of the sinusoidal interference signals (Ak·ej(ωkt+φk), Ak·ej(ωkμ·Δt+φk)) and the noise signal (w(t), w(μ·Δt)).
    • 提供了一种用于从噪声信号识别正弦干扰信号的系统。 该系统包括用于估计(51,52,...,5NFFT)的测量信号(x(t),x(μ·&Dgr; t)的自相关矩阵((R)} v) )),由正弦干扰信号(Ak·ej(ωkt+&phgr; k)),Ak·ej(ωkμ·&Dgr; t +&phgr; k))和噪声信号(w(t),w &Dgr; t)),用于频率估计的单元(81,82,...,8NFFT)以及用于与正弦曲线相关联的谱线的功率电平确定的单元(91,92,...,9NFFT) 干扰信号(Ak·ej(ωkt+&phgr; k),Ak·ej(ωkμ·&Dgr; t +&phgr; k))另外提供快速傅里叶变换滤波器组(1),用于产生几个频带 )由正弦干扰信号(Ak·ej(ωkt+&phgr; k)),Ak·ej(ωkμ·&Dgr; t +&phgr)组成的测量信号(x(t),x(μ·&Dgr; t) ; k))和噪声信号(w(t),w(μ·&Dgr; t))。
    • 8. 发明申请
    • Method and Device for Performing Spectrum Analysis of a Wanted Signal or Noise Signal
    • 用于进行信号或噪声信号频谱分析的方法和装置
    • US20070250558A1
    • 2007-10-25
    • US11663939
    • 2005-08-26
    • Gregor FeldhausHagen Eckert
    • Gregor FeldhausHagen Eckert
    • G06F17/14
    • G01R23/167G01R23/18
    • A method and device for performing spectrum analysis of a signal in a plurality of frequency bands with respective different frequency resolutions. Said method comprises a data acquisition step and a subsequent data evaluation step for every frequency band. The data acquisition step and the subsequent data evaluation step proceeds cyclically and continuously for every frequency band of the spectrum analysis. The corresponding device for performing spectrum analysis of a signal cyclically stores a scanning sequence o the signal for every frequency band in one circular buffer each. A discrete Fourier transformer uses the cyclically stored scanning sequences to calculate the spectral values pertaining to the respective frequency band.
    • 一种用于对具有不同频率分辨率的多个频带中的信号进行频谱分析的方法和装置。 所述方法包括用于每个频带的数据获取步骤和随后的数据评估步骤。 对于频谱分析的每个频带,数据采集步骤和随后的数据评估步骤循环地且连续地进行。 用于执行信号的频谱分析的相应装置将每个频带的信号的扫描序列循环存储在一个循环缓冲器中。 离散傅里叶变换器使用循环存储的扫描序列来计算与相应频带有关的频谱值。
    • 10. 发明授权
    • Method and system for the detection and/or removal of sinusoidal interference signals in a noise signal
    • 用于在噪声信号中检测和/或去除正弦干扰信号的方法和系统
    • US07957940B2
    • 2011-06-07
    • US12430377
    • 2009-04-27
    • Gregor FeldhausHagen Eckert
    • Gregor FeldhausHagen Eckert
    • H04B15/00
    • H04L25/0206G01R23/16G01R29/26H04B1/1027
    • A method for removing sinusoidal interference signals from a noise signal. The method includes transforming a measured signal (x(t), x(μ·Δt)), which is composed of a limited number of sinusoidal interference signals (Ak·ej(ωkt+φk), Ak·ej(ωkμ·Δt+φk)) and a white noise signal (w(t), w(μ·Δt)), into a subspace containing noise components and a subspace containing interference-signal components, and forming the spectrum of only the noise signal using the subspace containing the noise components. The entire frequency range is split into several frequency bands (ν), in which each measured signal (x(t), x(μ·Δt)) consists of a limited number (p(ν)) of sinusoidal interference signals and a white noise signal.
    • 一种从噪声信号中去除正弦干扰信号的方法。 该方法包括:将由有限数量的正弦干涉信号(Ak·ej(ωkt+&phgr; k)),Ak·ej(ω)和...组成的测量信号(x(t),x(μ·Dgr; t) ωkμ·&Dgr; t +&phgr; k))和白噪声信号(w(t),w(μ·&Dgr; t))转换成包含噪声分量的子空间和包含干扰信号分量的子空间, 仅使用包含噪声分量的子空间的噪声信号的频谱。 整个频率范围分为几个频带(&ngr;),其中每个测量信号(x(t),x(μ·&Dgr; t))由有限数量(p(&ngr))的正弦干扰 信号和白噪声信号。