Method for correcting time error between sub converters of double-channel analog-to-digital converter on basis of machine learning
An analog-to-digital converter, time error technology, applied in the direction of analog/digital conversion calibration/test, analog/digital conversion, code conversion, etc., can solve problems such as time mismatch error
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[0046] Below in conjunction with accompanying drawing and specific embodiment the present invention will be further described:
[0047] Such as figure 1 Shown is a schematic diagram of the structure of a dual-channel analog-to-digital converter time-alternating analog-to-digital conversion system, including two sub-converters. The whole system is composed of two sub-analog-to-digital converters working in parallel with an acquisition time interval of 2Ts, and the total operating frequency is fs=1 / Ts, where Ts is the total acquisition period of the converter. Each sub-converter works in parallel, and the input analog signal xc(t) is collected by two sub-converters in parallel and then restored to an uncorrected analog-to-digital converter with time error mismatch through the multiplexer MUX Non-ideal non-uniform digital signal y[n]. Then, the supervised machine learning method in the present invention is used for y[n] to restore the ideal signal.
[0048] Such as figure 2 ...
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