SEMI-AUTOMATED OSCILLOSCOPE NOISE COMPENSATION BASED ON POWER SPECTRAL DENSITY CHARACTERIZATION

    公开(公告)号:US20230324439A1

    公开(公告)日:2023-10-12

    申请号:US18121558

    申请日:2023-03-14

    CPC classification number: G01R13/029

    Abstract: A method of dynamically determining an oscilloscope noise characteristic includes retrieving a power spectral density (PSD) model of noise from a storage based upon a current configuration of the oscilloscope, generating a representation of any filtering being applied to a waveform generated by a device under test, using the PSD and the representation to produce a modified power spectral density, and using the modified power spectral density to determine a dynamic oscilloscope noise characteristic. A test and measurement instrument has one or more inputs to acquire waveforms from a device under test (DUT), one or more processors to retrieve a power spectral density (PSD) model of noise from a database, generate a representation of any filtering being applied to a waveform generated by the DUT, use the PSD and the representation to produce a modified PSD, and use the modified PSD to determine a dynamic instrument noise characteristic.

    Termination trigger pick-off for remote head sampler

    公开(公告)号:US12298329B2

    公开(公告)日:2025-05-13

    申请号:US18148709

    申请日:2022-12-30

    Inventor: Pavel R. Zivny

    Abstract: A test and measurement device includes an input port to receive an input signal, a sampling circuit structured to generate a sample from the input signal, in which generating the sample from the input signal produces an amount of kickout energy, and an energy reducing circuit coupled between the sampling circuit and one or more other components of the test and measurement device, the energy reducing circuit structured to decrease the amount of kickout energy from the sampling circuit. The energy reducing circuit may include or be combined with a pick-off circuit. Methods are also described.

    TEST AND MEASUREMENT INSTRUMENT HAVING TAILORED JITTER COMPENSATION

    公开(公告)号:US20240255572A1

    公开(公告)日:2024-08-01

    申请号:US18407266

    申请日:2024-01-08

    CPC classification number: G01R31/31709 G01R13/02 G01R29/26

    Abstract: A test and measurement instrument includes one or more ports to allow the instrument to connect to a DUT, a memory, a user interface including a display to display waveform signals received from the DUT and controls to allow a user to select settings for the instrument, and one or more processors configured to execute code that causes the one or more processors to: receive a signal from the DUT having multiple signal levels and multiple jitter thresholds; and adjust each measurement of the signal from the DUT using a jitter compensation value for each jitter threshold to produce a final measurement. A method includes receiving a waveform signal having multiple signal levels and multiple jitter thresholds from a device under test (DUT), and adjusting measurements of each level of the signal using a jitter compensation value for each level to produce final measurements.

    TERMINATION TRIGGER PICK-OFF FOR REMOTE HEAD SAMPLER

    公开(公告)号:US20230213556A1

    公开(公告)日:2023-07-06

    申请号:US18148709

    申请日:2022-12-30

    Inventor: Pavel R. Zivny

    CPC classification number: G01R13/26 G01R13/347

    Abstract: A test and measurement device includes an input port to receive an input signal, a sampling circuit structured to generate a sample from the input signal, in which generating the sample from the input signal produces an amount of kickout energy, and an energy reducing circuit coupled between the sampling circuit and one or more other components of the test and measurement device, the energy reducing circuit structured to decrease the amount of kickout energy from the sampling circuit. The energy reducing circuit may include or be combined with a pick-off circuit. Methods are also described.

    METHODS AND SYSTEMS FOR ANALYZING DECOMPOSED UNCORRELATED SIGNAL IMPAIRMENTS
    5.
    发明申请
    METHODS AND SYSTEMS FOR ANALYZING DECOMPOSED UNCORRELATED SIGNAL IMPAIRMENTS 审中-公开
    用于分析分解的非信号信号损害的方法和系统

    公开(公告)号:US20150350042A1

    公开(公告)日:2015-12-03

    申请号:US14819798

    申请日:2015-08-06

    CPC classification number: H04L43/087 H04L1/205 H04L43/045

    Abstract: Method and systems are described for estimating signal impairments, in particular jitter that includes uncorrelated, non-periodic signal impairments. One system may take the form of an oscilloscope. The estimates may take the form of a probability density function (PDF) for uncorrelated signal impairments that has been modified to replace low probability regions with a known approximation and an extrapolation of the known approximation.

    Abstract translation: 描述了用于估计信号损伤的方法和系统,特别是包括不相关的非周期信号损伤的抖动。 一个系统可能采用示波器的形式。 估计可以采用未相关信号损伤的概率密度函数(PDF)的形式,其已经被修改以用已知近似的已知近似和外推来代替低概率区域。

    MACHINE LEARNING MODEL TRAINING USING DE-NOISED DATA AND MODEL PREDICTION WITH NOISE CORRECTION

    公开(公告)号:US20230228803A1

    公开(公告)日:2023-07-20

    申请号:US18094947

    申请日:2023-01-09

    CPC classification number: G01R31/2603 G06N3/08

    Abstract: A test and measurement system has one or more inputs connectable to a device under test (DUT), and one or more processors configured to execute code that causes the one or more processors to: gather a set of training waveforms by acquiring one or more waveforms from one or more DUTs or from simulated waveforms, remove noise from the set of training waveforms to produce a set of noiseless training waveforms, and use the set of noiseless training waveforms as a training set to train a neural network to predict a measurement value for a DUT, producing a trained neural network. A method of training a neural network having receiving one or more waveforms from one or more DUTs, or generating one or more waveforms from a waveform simulator, removing noise from a set of training waveforms gathered from the one or more waveforms to produce a set of noiseless training waveforms, and use the set of noiseless training waveforms as a training set to train a neural network to predict a measurement value for a DUT, producing a trained neural network.

    Bounded uncorrelated signal impairment deconvolution for total signal impairment extrapolation
    7.
    发明授权
    Bounded uncorrelated signal impairment deconvolution for total signal impairment extrapolation 有权
    用于总信号损伤外推的有界不相关的信号损伤去卷积

    公开(公告)号:US09363045B2

    公开(公告)日:2016-06-07

    申请号:US13706289

    申请日:2012-12-05

    CPC classification number: H04L1/205

    Abstract: Methods and systems are described for analyzing signal impairments using a test and measurement instrument. A method may include decomposing aggregate signal impairments into signal impairments that are correlated and uncorrelated to an acquired data pattern. The uncorrelated signal impairments may be further decomposed into periodic signal impairments (e.g., PJ) and non-periodic uncorrelated signal impairments. A PDF of the non-periodic uncorrelated signal impairments may be mathematically integrated, thereby producing an estimated cumulative distribution function (CDF) curve. Random signal impairments may be estimated as an unbound Gaussian distribution. The CDF curve of the non-periodic uncorrelated signal impairments and the unbound Gaussian distribution may be plotted in Q-space on a display device. Non-periodic bounded uncorrelated signal impairments (e.g., NP-BUJ) PDF may then be isolated. Bounded uncorrelated signal impairments PDF may then be synthesized. Complete uncorrelated signal impairments PDF may be synthesized. A synthesis of the decomposed components can be performed at a user-defined bit error rate to generate the total estimated jitter (e.g., TJ@BER or TN@BER).

    Abstract translation: 描述了使用测试和测量仪器分析信号损伤的方法和系统。 一种方法可以包括将聚合信号损伤分解成与所获取的数据模式相关并且不相关的信号损伤。 不相关的信号损伤可以进一步分解为周期性信号损伤(例如PJ)和非周期性不相关信号损伤。 非周期性不相关信号损伤的PDF可以在数学上被整合,从而产生估计的累积分布函数(CDF)曲线。 随机信号损伤可以被估计为未结合的高斯分布。 非周期性不相关信号损伤和未结合高斯分布的CDF曲线可以绘制在显示装置上的Q空间中。 然后可以分离非周期性有界不相关信号损伤(例如,NP-BUJ)PDF。 然后可以合成有界的不相关信号损伤PDF。 完全不相关的信号障碍PDF可能被合成。 分解组件的合成可以以用户定义的误码率进行,以产生总估计抖动(例如,TJ @ BER或TN @ BER)。

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