Abstract: Embodiments of the present application provide a method for predicting envelope features. The method includes: according to baseband data or data after modulation mapping, a peak value of a radio frequency envelope signal, a time point corresponding to the peak value, a valley point of the radio frequency envelope signal and a time point corresponding to the valley point are predicted; according to the valley point and the time point corresponding thereto, a generated reference value is sent to a low-bandwidth control signal generating module to obtain a control signal; according to adjacent valley point and peak point, and time points corresponding thereto, generated status information is sent to a high-bandwidth control signal generating module to obtain a control switch signal; and when in an ascending status, according to a key information string, a slope k of a connecting line is determined, and a corresponding filter inductor is turned on.

Abstract: In implementations of the subject matter described herein, a current captured frame of a video is compared with a respective reference frame to determine a correlation therebetween. The correlation is used to indicate a change degree of the current frame. If the correlation for the current frame is below a predetermined threshold, the current frame may not be directly determined as including a motion of an object. Instead, correlations between one or more frames before or after the current frame and their respective reference frames are took into account. If the correlations of the frames under consideration are below the predetermined threshold, it may be detected that the current frame includes a motion of an object. In this way, incorrect detection of the object motion is reduced in the cases when larger changes in frames of a video are caused by factors such as noise and error, and the accuracy of the object motion detection is improved.

Abstract: In implementations of the subject matter described herein, a current captured frame of a video is compared with a respective reference frame to determine a correlation therebetween. The correlation is used to indicate a change degree of the current frame. If the correlation for the current frame is below a predetermined threshold, the current frame may not be directly determined as including a motion of an object. Instead, correlations between one or more frames before or after the current frame and their respective reference frames are took into account. If the correlations of the frames under consideration are below the predetermined threshold, it may be detected that the current frame includes a motion of an object. In this way, incorrect detection of the object motion is reduced in the cases when larger changes in frames of a video are caused by factors such as noise and error, and the accuracy of the object motion detection is improved.