Noise spectrum estimator and touch screen device including the same
First Claim
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1. A noise spectrum estimator for a touch panel, comprising:
- an adaptive impulse response generator to generate impulse response information by performing an adaptive training operation on noise data, the noise data being generated by sampling a plurality of noise signals received from the touch panel; and
an estimator to generate noise frequency spectrum estimation information associated with the noise data by performing a fast Fourier transform (FFT) on the impulse response information, whereinfirst peak frequencies corresponding to first noise peak points are substantially equal to second peak frequencies corresponding to second noise peak points, the first noise peak points being detected based on the noise frequency spectrum estimation information, the second noise peak points being obtained by directly performing the FFT on the noise data.
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Abstract
A noise spectrum estimator for a touch panel includes an adaptive impulse response generation unit configured to generate impulse response information by performing an adaptive training operation on noise data, the noise data being generated by sampling a plurality of noise signals received from the touch panel, and an estimation unit configured to generate noise frequency spectrum estimation information associated with the noise data by performing a fast Fourier transform (FFT) on the impulse response information.
21 Citations
19 Claims
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1. A noise spectrum estimator for a touch panel, comprising:
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an adaptive impulse response generator to generate impulse response information by performing an adaptive training operation on noise data, the noise data being generated by sampling a plurality of noise signals received from the touch panel; and an estimator to generate noise frequency spectrum estimation information associated with the noise data by performing a fast Fourier transform (FFT) on the impulse response information, wherein first peak frequencies corresponding to first noise peak points are substantially equal to second peak frequencies corresponding to second noise peak points, the first noise peak points being detected based on the noise frequency spectrum estimation information, the second noise peak points being obtained by directly performing the FFT on the noise data. - View Dependent Claims (2, 3, 4, 5)
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6. A touch screen device, comprising:
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a touch panel including a plurality of panel points for sensing respective input touch events; a signal processor to generate voltage data based on a plurality of sensing signals corresponding to changes of capacitances of the touch panel; a noise spectrum estimator to generate noise frequency spectrum estimation information based on the voltage data in a noise sensing mode, the voltage data including noise data in the noise sensing mode; a filter unit including a plurality of filters, the filter unit to select from among the plurality of filters based on a filter selection signal and generate filtered data by filtering the voltage data based on a selected filter in a touch sensing mode; and a touch panel controller to generate the filter selection signal by analyzing the noise frequency spectrum estimation information in the noise sensing mode, and to provide a driving signal to the touch panel and determine a touch point among the panel points based on the filtered data in the touch sensing mode, wherein the noise spectrum estimator includes; an adaptive impulse response generator to generate impulse response information by performing an adaptive training operation on the noise data in the noise sensing mode, the noise data being generated by sampling a plurality of noise signals received from the touch panel; and an estimator to generate the noise frequency spectrum estimation information by performing a fast Fourier transform (FFT) on the impulse response information in the noise sensing mode, wherein the filter unit includes an averaging filter and a frequency filter, the filter unit selecting the averaging filter based on the filter selection signal when the noise frequency spectrum estimation information corresponds to uniform distribution, and the filter unit selecting the frequency filter based on the filter selection signal when the noise frequency spectrum estimation information corresponds to nonuniform distribution. - View Dependent Claims (7, 8, 9, 10, 11, 12, 13)
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14. A touch screen device having a panel to respond to a touch input, the panel having a touch sensor array, the device comprising:
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a plurality of sensors in the touch sensor array, each sensor providing a respective voltage signal in response to a touch input thereto; and a noise spectrum estimator to receive voltage data from the respective voltage signals from the sensors, the noise spectrum estimator including; an adaptive impulse response generator to generate impulse response information by performing an adaptive training operation on noise data of the voltage data, the noise data being generated by sampling a plurality of noise signals received from the sensors of the touch panel, the adaptive training operation including generating delayed noise data by delaying the noise data, generating first estimated noise data, and generating second estimated noise data by using the noise data and the first estimated noise data; and an estimator to generate noise frequency spectrum estimation information associated with the noise data by performing a fast Fourier transform (FFT) on the impulse response information, wherein the adaptive training operation is performed based on the delayed noise data and the second estimated noise data. - View Dependent Claims (15, 16, 17, 18, 19)
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Specification