Abstract: A method of performing a distance-to-fault measurement of a signal processing device, comprising: performing a S11 measurement in amplitude and phase with equidistant frequency points assigned to an original frequency space, thereby obtaining original measurement points; calculating a virtual start frequency and a virtual stop frequency based on a start frequency and a stop frequency assigned to the original frequency space; determining virtual equidistant frequency points between the virtual start frequency and the virtual stop frequency; transforming the virtual equidistant frequency points into the original frequency space, thereby obtaining non-equidistant frequency points in the original frequency space; interpolating the original measurement points with respect to the non-equidistant frequency points, thereby obtaining interpolated measurement points; and performing an inverse transformation of the interpolated measurement points.

Abstract: A measuring device is used to increase a contrast of a plurality of measured values displayed in a spectrogram or spectral histogram and contains a data-acquisition unit, a computer unit and a statistic unit. The data-acquisition unit is embodied to detect a plurality of measured values to be displayed. The statistic unit is embodied to calculate a distribution which contains the frequency of occurrence for every level value of the measured values to be displayed. The computer unit is embodied to specify a dynamic range, over which the contrast extends. In this context, a specified proportion of the level values which image the noise are not used for the specification of the dynamic range.

Abstract: A device for measuring the phase-noise spectrum of a pulsed sinusoidal signal generates a pulsed sinusoidal signal, converts the analog pulsed sinusoidal signal into a corresponding digital, pulsed sinusoidal signal and mixes the digital, pulsed sinusoidal signal into the baseband by means of quadrature mixing. Following this, the phase of the pulsed sinusoidal signal in the baseband is determined by means of Fourier transform of the phase of the pulsed sinusoidal signal, the phase spectrum of the pulsed sinusoidal signal is determined, and the phase-noise spectrum of the pulsed sinusoidal signal is determined by removing the spectral lines associated with the sinusoidal signal from the phase spectrum. According to the invention, the pulse pauses are removed from the pulsed sinusoidal signal in the baseband.

Abstract: A measuring device is used to increase a contrast of a plurality of measured values displayed in a spectrogram or spectral histogram and contains a data-acquisition unit, a computer unit and a statistic unit. The data-acquisition unit is embodied to detect a plurality of measured values to be displayed. The statistic unit is embodied to calculate a distribution which contains the frequency of occurrence for every level value of the measured values to be displayed. The computer unit is embodied to specify a dynamic range, over which the contrast extends. In this context, a specified proportion of the level values which image the noise are not used for the specification of the dynamic range.

Abstract: 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.

Abstract: A device for measuring the phase-noise spectrum of a pulsed sinusoidal signal generates a pulsed sinusoidal signal, converts the analog pulsed sinusoidal signal into a corresponding digital, pulsed sinusoidal signal and mixes the digital, pulsed sinusoidal signal into the baseband by means of quadrature mixing. Following this, the phase of the pulsed sinusoidal signal in the baseband is determined by means of Fourier transform of the phase of the pulsed sinusoidal signal, the phase spectrum of the pulsed sinusoidal signal is determined, and the phase-noise spectrum of the pulsed sinusoidal signal is determined by removing the spectral lines associated with the sinusoidal signal from the phase spectrum. According to the invention, the pulse pauses are removed from the pulsed sinusoidal signal in the baseband.

Abstract: A method and a device for determining a frequency mask disposed above or below a frequency spectrum of a detected signal determines every individual ordinate value of a first envelope curve disposed completely above or below the frequency spectrum as the maximum value or minimum value of a given number of respectively adjacent ordinate values of the frequency spectrum linked to a window function. Following this, each individual ordinate value of a second envelope curve disposed completely above or below the frequency spectrum and completely above or below the first envelope curve is determined as the maximum value or minimum value of a given number of respectively adjacent ordinate values of the frequency spectrum linked to a window function.

Abstract: A method and a device for measuring the phase noise of a signal registers the measurement signal (V) with a given measurement frequency (f1) and with a superimposed phase noise (f1(t)), divides the measurement signal (V) into a first and second measurement signal (V1?, V2?), derives a first signal (V1) with a first frequency ((f1+f1(t))/N) reduced relative to the measurement frequency (f1) and the superimposed phase noise (f1(t)) and a second signal (V2) with a second frequency ((f1+f1(t))/M) reduced relative to the measurement frequency (f1) and the superimposed phase noise (f1(t)), determines a third signal (V3) with a third frequency (f3(t)) compensated by the measurement frequency (f1) relative to the first frequency ((f1+f1(t))/N) of the first signal (V1) and a fourth signal (V4) with a fourth frequency (f4(t)) compensated by the measurement frequency (f1) relative to the second frequency ((f1+f1(t))/M) of the second signal (V2) and determines a correlation spectrum from the third and fourth signal (V3,

Abstract: A method and a device for determining a frequency mask disposed above or below a frequency spectrum of a detected signal determines every individual ordinate value of a first envelope curve disposed completely above or below the frequency spectrum as the maximum value or minimum value of a given number of respectively adjacent ordinate values of the frequency spectrum linked to a window function. Following this, each individual ordinate value of a second envelope curve disposed completely above or below the frequency spectrum and completely above or below the first envelope curve is determined as the maximum value or minimum value of a given number of respectively adjacent ordinate values of the frequency spectrum linked to a window function.

Abstract: A method for removing sinusoidal interference signals from a noise signal. The method includes transforming a measured signal (x(t), x(?·?t)), which is composed of a limited number of sinusoidal interference signals (Ak·ej(?kt+?k), Ak·ej(?k?·?t+?k)) and a white noise signal (w(t), w(?·?t)), 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 (?), in which each measured signal (x(t), x(?·?t)) consists of a limited number (p(?)) of sinusoidal interference signals and a white noise signal.

Abstract: An approach is provided for measuring, identifying, and removing at least one sinusoidal interference signal (Ak·ej(?kt+?k), Ak·ej(?·?k?t+?k)) in a noise signal (w(t), w(?·?t)). A frequency range to be measured is split into a plurality of frequency bands (?) via a Fast Fourier Transform (FFT) filter bank. For each of the frequency bands (?), an autocorrelation matrix ({circumflex over (R)}?) is determined, wherein parameters of the autocorrelation matrices ({circumflex over (R)}?) are variably adjusted based on whether the at least one sinusoidal interference signal (Ak·ej(?kt+?k), Ak·ej(?·?k?t+?k)) is to be measured, identified, or removed and further based on at least one averaging. The autocorrelation matrices ({circumflex over (R)}?) are jointly utilized for one or more of measuring, identifying, or removing the at least one sinusoidal interference signal (Ak·ej(?kt+?k), Ak·ej(?·?k?t+?k)) in the noise signal (w(t), w(?·?t)).

Abstract: 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(?·?t)) composed of a limited number of sinusoidal interference signals (Ak·ej(?kt+?k), Ak·ej(?·?k?t+?k)) and a white noise signal (w(t), w(?·?t)) 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(?kt+?k), Ak·ej(?·?k?t+?k)) are determined using an estimation method within the subspace containing the noise components. The entire frequency range is split into several frequency bands (?), in which the measured signal (x(t), x(?·?t)) consists of a limited number (p(?)) of sinusoidal interference signals (Ak·ej(?kt+?k), Ak·ej(?·?k?t+?k)) and a white noise signal (w(t), w(?·?t)).

Abstract: 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(?·?t)), composed from the sinusoidal interference signals (Ak·ej(?kt+?k), Ak·ej(?k?·?t+?k)) and the noise signal (w(t), w(?·?t)), 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(?kt+?k), Ak·ej(?k?·?t+?k)) 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(?·?t)), composed of the sinusoidal interference signals (Ak·ej(?kt+?k), Ak·ej(?k?·?t+?k)) and the noise signal (w(t), w(?·?t)).

Abstract: A method for spectral analysis of a signal (s1(t)) in several frequency bands with different frequency resolution adapts the two spectra of the signal (s1(t)) from adjacent frequency bands relative to one another in the transitional range of the two frequency bands. The associated device contains a unit for discrete convolution (3), which implements a smoothing of the discrete power spectra (|S1(k)|2) of the discrete signal (s1(k)) from adjacent frequency bands in the transitional range of the two frequency bands.

Abstract: A method and a device for measuring the phase noise of a signal registers the measurement signal (V) with a given measurement frequency (f1) and with a superimposed phase noise (f1(t)), divides the measurement signal (V) into a first and second measurement signal (V1?, V2?), derives a first signal (V1) with a first frequency ((f1+f1(t))/N) reduced relative to the measurement frequency (f1) and the superimposed phase noise (f1(t)) and a second signal (V2) with a second frequency ((f1+f1(t))/M) reduced relative to the measurement frequency (f1) and the superimposed phase noise (f1(t)), determines a third signal (V3) with a third frequency (f3(t)) compensated by the measurement frequency (f1) relative to the first frequency ((f1+f1(t))/N) of the first signal (V1) and a fourth signal (V4) with a fourth frequency (f4(t)) compensated by the measurement frequency (f1) relative to the second frequency ((f1+f1(t))/M) of the second signal (V2) and determines a correlation spectrum from the third and fourth signal (V3,

Abstract: A method for removing sinusoidal interference signals from a noise signal. The method includes transforming a measured signal (x(t), x(?·?t)), which is composed of a limited number of sinusoidal interference signals (Ak·ej(?kt+?k), Ak·ej(?k?·?t+?k)) and a white noise signal (w(t), w(?·?t)), 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 (?), in which each measured signal (x(t), x(?·?t)) consists of a limited number (p(?)) of sinusoidal interference signals and a white noise signal.

Abstract: A method for spectral analysis of a signal (s1(t)) in several frequency bands with different frequency resolution adapts the two spectra of the signal (s1(t)) from adjacent frequency bands relative to one another in the transitional range of the two frequency bands. The associated device contains a unit for discrete convolution (3), which implements a smoothing of the discrete power spectra (|S1(k)|2) of the discrete signal (s1(k)) from adjacent frequency bands in the transitional range of the two frequency bands.

Abstract: 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(?·?t)) composed of a limited number of sinusoidal interference signals (Ak·ej(?kt+?k), Ak·ej(?·?k?t+?k)) and a white noise signal (w(t), w(?·?t) 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(?kt+?k), Ak·ej(?·?k?t+?k)) are determined using an estimation method within the subspace containing the noise components. The entire frequency range is split into several frequency bands (v), in which the measured signal (x(t), x(?·?t)) consists of a limited number (p(v)) of sinusoidal interference signals (Ak·ej(?kt+?k), Ak·ej(?·?k?t+?k)) and a white noise signal (w(t), w(?·?t)).

Abstract: An arrangement for measurement demodulation and modulation error measurement of a digitally modulated receive signal, which has a receive filter and a following demodulator for error compensation and for determining the ideal symbol samples. The measuring signal that is filtered in a reference filter and weighting filtered is then evaluated in a following evaluation circuit. The output signal of the demodulator is fed via a measuring filter to the evaluation circuit and the weighting filter function is formed by cascaded filter functions of the receiver filter and measuring filter.

Abstract: 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.