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CAP PEAKS
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Technical Examples
- A chromatographic analyzer is provided for facilitating curve filling by the linear least-square method for a chromatogram that contains a plurality of overlapping peaks. A chromatographic data processor executes fitting processing to each peak in an arbitrary time region having the plurality of peaks of the chromatogram starting from the front or back side of time region and the processed peaks are subtracted from the chromatogram in the time region so that the plurality of peaks in the chromatogram can be separated from one another.
- Techniques are described for accurately processing playback signals of time-based servo patterns recorded on a data storage medium. In particular, techniques are described for determining values for signal peaks within a playback signal of a time-based servo pattern by applying interpolation to data points in proximity to each of the signal peaks. At least three data points are identified in proximity to a desired peak to be detected within the playback signal. A value is calculated for the desired peak based on interpolation of the at least three data points. A playback signal of a time-based servo pattern may include a sequence of signal peaks. A time-based servo pattern may be detected based on lengths of time measured between consecutive peaks in the sequence of peaks. A position error signal (PES) may be generated based on the values calculated for each of the sequence of peaks.
- The invention described herein details a protocol to improve analysis and peak identification in spectroscopic data. Bayesian methods are used to automatically identify peaks in data sets. After identifying peak shapes, the method tests the hypothesis that a given number of peaks is found within any given data window. If a peak is identified within a given window, then the likelihood function is maximized in order to estimate peak position and amplitude. This process yields a spectrum with high resolution and minimal artifacts. The method described herein is particularly useful for identifying peaks in data sets obtained from spectroscopy.
- The light transmitted and reflected by all-dielectric optically variable pigments varies according to viewing angle. The color travel of an all-dielectric optically variable pigment depends on amplitude changes and wavelength shifts in reflectance peaks of the pigment. The width and center wavelength of reflectance peaks can be controlled by selecting the ratio of thicknesses between high-index and low-index layers in a thin film stack. Reflectance peaks can regenerate or become suppressed and shift with tilt angle, thus providing a wide variety of color trajectories.
- Systems better detect transitions in a binary optical code signal and thus better detect edges in binary optical codes, such as bar codes. The optical code signal imperfectly indicates perceived regions of relatively dark and light areas arranged in an alternating pattern as part of an optical code. That signal is differentiated to form a first derivative. Due to various non-ideal conditions, the first derivative may have a series of successive local peaks of the same polarity. Peaks in the series having a peak value less than a previous peak value in the series are ignored, thereby resulting in a set of unignored peaks. From the unignored peaks in the series is chosen the one peak occurring last in order. According to the chosen peak, there is generated a signal more reliably indicating the true edge position between light and dark areas in the pattern.
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