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    • 1. 发明授权
    • Spectrometer means employing linear synthesized RF excitation
    • 光谱仪意味着采用线性合成射频激发
    • US4034191A
    • 1977-07-05
    • US588264
    • 1975-06-19
    • Barrett L. TomlinsonHoward D. W. Hill
    • Barrett L. TomlinsonHoward D. W. Hill
    • G01R23/16G01R33/36G01N27/78G01R33/08
    • G01R33/3607G01R23/16
    • Broadband RF excitation for a Fourier transform spectrometer is obtained by synthesizing the time domain excitation from the desired frequency spectrum of RF excitation. Means are provided to Fourier transform the desired spectral data from the frequency domain into the time domain to obtain a modulation output for modulating an RF carrier signal to generate the desired sideband of RF excitation. In a preferred embodiment, the desired frequency domain data, as tabled in the computer, has a pseudorandom phase shift added to each component for scrambling the phases of the RF excitation. The excited RF resonance signals in the time domain are detected, time-averaged, Fourier transformed to the frequency domain and, in the case of phase scrambling, unscrambled by the pseudorandom phase angle sequence, and displayed.
    • 通过从RF激发的期望频谱合成时域激发,获得用于傅立叶变换光谱仪的宽带RF激励。 提供了将期望的频谱数据从频域傅里叶变换到时域的装置,以获得用于调制RF载波信号以产生RF激励的期望边带的调制输出。 在优选实施例中,如计算机中所提供的所需频域数据具有加到每个分量上的伪随机相移,用于扰频RF激励的相位。 在时域中激发的RF共振信号被检测,时间平均,傅里叶变换到频域,并且在相位加扰的情况下,被伪随机相位角序列解扰并显示。
    • 2. 发明授权
    • Neural net system for analyzing chromatographic peaks
    • 用于分析色谱峰的神经网络系统
    • US5121443A
    • 1992-06-09
    • US410552
    • 1989-09-21
    • Barrett L. Tomlinson
    • Barrett L. Tomlinson
    • G01N30/86
    • G01N30/8624G01N30/8631G01N30/8641
    • A two-step process for characterization of peaks in a chromatogram is disclosed. Firstly, data corresponding to each peak or pair of peaks in the chromatogram is identified. A unique filter apparatus locates extrema of the curvature of the chromatographic data and a data file is generated containing characteristics of the extrema. A pattern recognition apparatus analyzes the characteristics of the located extrema and classifies the peak or peak combination represented by the data in the file as one peak or peak combination in a set of resolved peaks and selected combinations of resolved peaks. A portion of the chromatographic data, corresponding to the peak or peak combination identified by the pattern recognition apparatus, is identified. This portion includes the signal for said peak and the signal for the baseline upon which the peak is superimposed. In the second step, data for a peak or a peak combination identified as described above is processed and a set of characterizing parameters for the peak or the first peak in the peak combination is generated without a prior baseline correction to the data. The peak data including the baseline level upon which the peak is superimposed is analyzed using one of lookup-tables, neural nets, curve fitting, or combinations thereof. These characterization processes, using information about the peak crest and the peak inflection points, determines a set of characterizing parameters and a baseline estimate that best fit the identified data. The peak characterization is not biased by a prior baseline correction.
    • 公开了用于表征色谱图中的峰的两步法。 首先,识别与色谱图中每个峰或峰对相对应的数据。 唯一的过滤装置定位色谱数据的曲率的极值,生成包含极值特征的数据文件。 模式识别装置分析位置极值的特征,并将由文件中的数据表示的峰值或峰值组合分类为一组分辨峰和所选择的分辨峰组合中的一个峰值或峰值组合。 识别对应于由图案识别装置识别的峰值或峰值组合的色谱数据的一部分。 该部分包括用于所述峰值的信号和叠加峰值的基线信号。 在第二步骤中,处理如上所述识别的峰值或峰值组合的数据,并且在峰值组合中的峰值或第一峰值的特征参数集合被生成,而不对数据进行先前的基线校正。 使用查找表,神经网络,曲线拟合或其组合中的一个来分析包括叠加峰值的基线水平的峰值数据。 使用关于峰顶和峰值拐点的信息的这些表征过程确定一组特征参数和最适合所识别的数据的基线估计。 峰值表征不受先前基线校正的偏差。