33results about How to "Not easy to be disturbed by noise" patented technology

A discharge lamp driving device is used for driving a discharge lamp, which includes a drive switch circuit, a voltage-transforming resonant circuit and a voltage detection circuit. The drive switch circuit is used to convert the input DC signal into an AC signal. The variable voltage resonant circuit is connected with the driving switch circuit, and is used for converting the AC signal into another AC signal to drive the discharge lamp. The voltage detecting circuit is connected between the variable voltage resonant circuit and the discharge lamp, and includes multiple voltage dividing circuits and reverse charging circuits. The voltage divider circuit is connected to the discharge lamps in a one-to-one correspondence, and is used for dividing the voltage loaded on the discharge lamps. Moreover, the voltage dividing circuits are respectively connected to the reverse charging circuits, and the reverse charging circuits charge each other to increase the DC level of the divided voltage. In the voltage detection circuit of the present invention, the voltage dividing circuits charge each other through the reverse charging circuit to increase the DC level of the divided voltage signal, so as to accurately detect whether the discharge lamp is abnormal.

The invention discloses a communication device which comprises a circuit board, a first metal shielding structure, a radio frequency circuit and a fundamental frequency circuit, wherein the circuit board comprises a circuit layer, an insulation layer and a grounding layer; the insulation layer is arranged below the circuit layer, the grounding layer is arranged below the insulation layer, and thegrounding layer upwards passes through the insulation layer and is provided with an isolated body in an extending way so as to isolate a first circuit area from a second circuit area; the first circuit area and the grounding end of the second circuit area are electrically connected with the grounding layer, and a gap is arranged between the first circuit area and the isolated body; and the radio frequency circuit is arranged on the first circuit area, the foundational frequency circuit is arranged on the second circuit area, and the first metal shielding structure is arranged above the circuit board structure and electrically connected with the isolated body so that the first circuit area and the second circuit area are not easy to interfer by respective noise.

The invention discloses a mount element detection method based on color image segmentation and gradient projection positioning, and belongs to the technical field of automatic optical detection of mount elements. The mount element detection method based on color image segmentation and gradient projection positioning is characterized in that a designed image acquisition system is used to acquire color images; three-color (red, green and blue) images are converted into an HSI color model which is formed by three parameters (H (Hue), S (saturation) and I (Intensity)); as the HSI model directly uses the hue and the saturation having no relation with brightness when the HSI color model extracts the color information, the mount element detection method based on color image segmentation and gradient projection positioning is accurate and highly efficient in segmentation; one the above basis, positioning and detection of elements are carried out; positioning mainly uses the color and geometrical characteristics, and a positioning method based on gradient projection and a principal component characteristic value detection method are proposed; and the mount element detection method based oncolor image segmentation and gradient projection positioning has the advantages of high positioning accuracy and efficiency and accurate detection.

The present invention provides a capacitive pen for operating on a capacitive touch panel (200), which includes: a sending unit (1), which sends a high-voltage AC signal to the capacitive touch panel (200); the capacitive pen controls A processing unit (2), which generates the high-voltage AC signal, and sends the high-voltage signal to the capacitive touch panel (200) through the sending unit (1), so that the capacitive touch panel (200 ) measuring the position information of the capacitive pen (100) according to the high voltage AC signal. The capacitive stylus provided by the present invention sends a high-voltage AC signal to the capacitive touch panel so that the capacitive touch panel can be positioned according to the high-voltage AC signal. Since the high-voltage AC signal is strong, the signal-to-noise ratio and positioning accuracy can be improved.

The invention provides a fingerprint photocurrent detection unit, a fingerprint identifier, a driving method and a display device. The fingerprint photocurrent detection unit includes: a conversion circuit connected to the fingerprint photocurrent reading line for converting the fingerprint photocurrent read by the fingerprint photocurrent reading line into a corresponding square wave signal; and a detection circuit , connected with the conversion circuit, used to detect the square wave signal, and obtain fingerprint photocurrent information through the frequency of the square wave signal. The fingerprint photocurrent detection unit, fingerprint reader, driving method and display device of the present invention convert the fingerprint photocurrent read by the fingerprint photocurrent reading line into a corresponding square wave signal through the conversion circuit, that is, realize optical fingerprint detection from The process of converting electrical physical quantities to frequency detection adopts the method of frequency detection, which has high signal strength and is not easily disturbed by noise.

The invention puts forward a lithium battery capacity and service life prediction method based on a generalized degradation model and multiscale analysis. The method comprises the following steps of: firstly, carrying out phase space reconstruction on historical capacity degradation data, utilizing reconstructed data to fit the generalized degradation model, obtaining a model parameter, and fitting a root-mean-square error; secondly, in multiple scales, carrying out forward estimation on a future capacity, and obtaining a forward prediction result through weighted integration; thirdly, adding a prediction result into a known sequence, and carrying out forward iterated prediction; and finally, judging whether a multi-step prediction result achieves a failure threshold value or not, and calculating remaining service life. By use of the generalized degradation model which is put forward by the invention, a complex combined degradation rule can be fit, and the model has the advantages of high universality, wide applicable range and small fitting error. On the basis of phase space reconstruction, multiscale prediction is carried out, a prediction result is obtained through the weighted integration, and the prediction result is unlikely to interfere by noise and is high in accuracy.

The invention discloses a video target tracking method based on compressed regularization block difference. The method is realized by the steps that 1) a tracking area is selected; 2) a measurement matrix is initialized; 3) a target classifier is initialized; 4) a target classifier is updated; 5) a new video frame is input; 6) a rough candidate target set is generated; 7) CNBD characteristic vectors of all candidate targets in the rough candidate target set are calculated; 8) a rough tracking result is discriminated; 9) a fine candidate target set is generated; 10) CNBD characteristic vectorsof all candidate targets in the fine candidate target set are calculated; 11) a present-frame tracking result is discriminated; and 12) if the present frame is the last frame, tracking is completed, and otherwise, the step 4) is turned to. According to the method, differential characteristics of a compressed regularization block is used to describe the tracked or candidate targets, and the candidate target set is generated in a rough to fine sliding window manner.

The invention discloses a video target tracking method based on compressed regularized block difference. The implementation steps are as follows: Step 1. Select the tracking area; Step 2. Initialize the measurement matrix; Step 3. Initialize the target classifier; Step 4. Update the target Classifier; Step 5. Input new video frame; Step 6. Generate a rough candidate target set; Step 7. Calculate the CNBD feature vectors of all candidate targets in the rough candidate target set; Step 8. Discriminate rough tracking results; Step 9. Generate detailed Candidate target set; Step ten. Calculate the CNBD feature vectors of all candidate targets in the detailed candidate target set; Step eleven. Discriminate the tracking result of this frame; Step twelve. If the current frame is the last frame, the tracking ends; otherwise, go to Step four. In this method, the tracked target or candidate target is expressed by compressed regularized block difference features, and a set of candidate targets is generated by a sliding window method from coarse to fine.