Abstract: The present disclosure discloses a method and device for sampling a pulse signal, and a computer program medium.

Abstract: The disclosure discloses methods for determining fitting model for a signal, reconstructing a signal and devices thereof. The determination method may comprise the following steps: segmenting a sampled signal based on collected characteristic information of the signal to obtain a plurality of signal segments; fitting sampling points in the plurality of signal segments using a plurality of fitting models; acquiring fitted values for a parameter of interest in each signal segment based on fitting results; comparing each of the fitted values for the parameter of interest under each of the fitting models with an acquired measurement value for the parameter of interest, and determining a final fitting model for reconstructing the signal among the plurality of the fitting models based on comparison results. In the technical solution provided in the disclosure, the accuracy of the signal reconstruction result and precision of the signal reconstruction may be improved.

Abstract: A signal sampling method comprising: sampling an electrical signal to be measured using a pre-determined sampling method to obtain a plurality of first sampling points, each of which is represented by a first amplitude and a corresponding first time; measuring a second amplitude of the electrical signal to be measured, wherein the second amplitude is different from the plurality of the first amplitudes; and delaying the electrical signal to be measured, and using the delayed electrical signal to determine a second time when the amplitude of the electrical signal to be measured reaches the second amplitude in order to obtain a second sampling point, which is represented by the second amplitude and the second time. A greater number of sampling points can be sampled, such that the precision of sampling and also the accuracy of subsequent signal restoration may be improved.

Abstract: A system for simultaneously preparing alcohol-free wine and high-alcohol liquor, comprising a primary membrane separation system and a secondary membrane separation system. An inlet of the primary membrane separation system is connected to raw materials, and a permeation side of the primary membrane separation system is connected to an inlet of the secondary membrane separation system; both the primary membrane separation system and the secondary membrane separation system comprise an organic matter preferentially-permeable pervaporation membrane. The method for simultaneously preparing the alcohol-free wine and the high-alcohol liquor comprise the following steps: feeding the wine produced by fermentation into the primary membrane separation system, ethanol and aromatic substances therein permeating the membrane in a vapor form to form a primary permeating fluid with alcohol content of 28-32°, and a primary residual permeating fluid being the alcohol-free wine with alcohol content of less than 0.5°.

Abstract: The present disclosure discloses a method and device for sampling a pulse signal, and a computer program medium.

Abstract: The disclosure discloses methods for determining fitting model for a signal, reconstructing a signal and devices thereof. The determination method may comprise the following steps: segmenting a sampled signal based on collected characteristic information of the signal to obtain a plurality of signal segments; fitting sampling points in the plurality of signal segments using a plurality of fitting models; acquiring fitted values for a parameter of interest in each signal segment based on fitting results; comparing each of the fitted values for the parameter of interest under each of the fitting models with an acquired measurement value for the parameter of interest, and determining a final fitting model for reconstructing the signal among the plurality of the fitting models based on comparison results. In the technical solution provided in the disclosure, the accuracy of the signal reconstruction result and precision of the signal reconstruction may be improved.