240results about How to "Filter noise" patented technology

The present invention discloses a control circuit of a touch screen and a noise removing method. The present invention provides a technique for performing differential sensing on two adjacent detection lines of a touch screen panel and integrating a differential sensing signal to filter noise. The control circuit and the noise removing method may remove display noise having an effect on two adjacent detection lines, three-wavelength lamp noise having a predetermined frequency, 60 Hz noise, and charger noise caused by battery charging.

An AC-to-DC adapter may be provided in order to increase the sensitivity of a touch-sensitive surface. Such an AC-to-DC adapter may include a rectifying circuit to rectify incoming AC signals. The rectifying circuit may take the form of a diode bridge network that includes four diode branches. Stabilization circuits may be provided in parallel with each diode branch in order to decrease the impedance of the diode bridge network during particular periods of operation. The stabilization circuits may be configured such that the impedance of the diode bridge network is substantially constant during all periods of operation. As a result, the impedance of the AC-to-DC adapter may be relatively constant during all periods of operation. In turn, the sensitivity of a touch-sensitive surface of a device being powered by such an AC-to-DC adapter may increase.

The invention discloses an underwater image enhancement method in combination with bilateral filtering and Retinex. The method comprises the steps of converting an RGB color space of an input image toan HSV color space; for a brightness component, filtering image noises in combination with the bilateral filtering, and separating out a reflective component and an irradiation component based on Gaussian center surrounding multi-scale Retinex for the denoised brightness component; for the separated irradiation component, adjusting illumination by adopting gamma correction to obtain a new irradiation component; realizing fusion enhancement of the irradiation component and the reflective component based on a Retinex theory, thereby obtaining a brightness component after non-uniform illumination correction; recombining the enhanced brightness component with a hue component and a saturation component, and converting the HSV color space to the RGB color space; calculating grayscale value ratios of red and green channels to a blue channel, and remapping the grayscale values of the three channels; and finally performing histogram equalization on the R, G and B channels of the image to realize image contrast enhancement. According to the method, the blue and green color deviation of the underwater image is effectively eliminated, so that the image contrast is improved; and the partial image noises are filtered, so that the signal-noise ratio of the image is increased.

The present invention discloses a method and device of pavement identification on the basis of a laser-point cloud. The method provided by the invention comprises: identifying candidate pavement point clouds according to the laser-point cloud collected by a laser sensor; constructing a rectangular coordinate system grid, clustering a candidate pavement point cloud projected to the rectangular coordinate system grid, and obtaining a credible pavement point cloud; and constructing a pavement model according to the credible pavement point cloud and the driving direction of a mobile carrier provided with the laser sensor. Through the technical scheme provided by the embodiment of the invention, a candidate pavement point cloud is identified according to the laser-point cloud collected by a laser sensor, a credible pavement point cloud is obtained by clustering the candidate pavement point cloud projected to the rectangular coordinate system grid, and finally a pavement model is constructed according to the credible pavement point cloud and the driving direction of a mobile carrier provided with the laser sensor, therefore the noise in a pavement laser-point cloud is effectively filtered and the accuracy of the construction of the pavement model is improved.

The invention discloses a high efficiency vehicle detection method comprising steps of vehicle existing information detection and vehicle moving information detection. More particularly, the vehicle existing information detection comprises the following steps: (11), carrying out statistics on a background image model; (12), calculating an image-background difference graph; (13), carrying out binarization processing on the image-background difference graph; and (14), determining whether there is a vehicle or not. Moreover, the vehicle moving information detection comprises the following steps: (21), carrying out difference on two adjacent frames of images and extracting edge points for the difference image; (22), carrying out statistics on a gradient direction histogram of the edge points of the difference image; and (23), determining whether there is a vehicle in a moving state. According to the invention, the provided vehicle detection method has high detection precision and a good detection effect.

The invention discloses an adaptive Kalman filtering algorithm applied to GPS navigation and mainly solves a problem that an adaptive Kalman filtering algorithm in the prior art can not realizes adaptive adjustment in a filtering process. The algorithm comprises steps that (1), algorithm parameters are set, and initialization of a target state is carried out; (2), an AR model is established, and a coefficient of the AR model is calculated by utilizing a Kalman filtering framework; (3), the target state is predicted by utilizing Kalman filtering on the basis of the AR model, and a prediction mean value and an error covariance are included; (4), the measurement data is utilized to update the target state, and a gain matrix, a posteriori estimation mean value and a posteriori estimation error covariance are calculated; and (5),a state noise covariance is adaptively calculated online, a state value and a covariance of a target position are outputted, k is made to increase 1, and the process returns to the step (2). Compared with the adaptive Kalman filtering algorithm in the prior art, the method can realize more accurate target state estimation, and the method can be applied to practical GPS navigation systems.

The invention provides a dish name recognition method based on OCR, which belongs to the technical field of OCR. The method comprises the following steps: taking a photo of a menu; lining a region to be recognized on the menu photo conforming to the definition requirement; carrying out intelligent regulation on the region to be recognized; and using an OCR engine for recognizing the regulated recognized region to obtain recognition texts. The method utilizes a dish name knowledge base for correcting the recognition texts, selects results with the maximum matching degree as dish name recognition results, and filters out meaningless recognition results. The rectangular region to be recognized is determined according to specified coordinate points, and the intelligent regulation is carried out on the basis, so the noise in the recognition process is filtered out to the maximum degree, and the recognition effect of the OCR engine is improved. Users can upload the recognition results to the web pages of catering industry through network for propaganda and reservation after the web pages issue more dish name information, and at the same time, the invention also brings convenience for lots of gastronomists to know and select the respective delicacies.

The invention discloses a detection method of a lane line. At first, edge information of a road image is extracted by means of a self-adaption threshold value edge extraction algorithm, cumulative probability Hough transformation in which an edge gradient direction constraint is brought is utilized so that straight lines can be quickly detected from an edge image, then the accurate positions of blanking points are estimated between successive frames by means of the detected straight lines through an iterative calculation method, a part of the straight lines not deriving from the edge of the lane line are filtered out by means of blanking point constraints, a tracking door is built so that noise can be further filtered out, candidate straight lines are obtained, and ultimately a pair of optimal straight lines are selected from the candidate straight lines to represent a current lane line through use of color information of candidate straight line neighborhoods and lane line information detected by a previous frame. According to the method, robustness on road environment change is achieved, the calculated quantity is small and real-time performance is achieved.

A capacitive touch panel including a substrate and a plurality of approach sensing units disposed on the substrate is provided. Each approach sensing unit comprises a first driving electrode, a second driving electrode, a first sensing electrode unit and a second sensing electrode unit. The first and second driving electrodes are arranged in parallel along an axis. The first and second sensing electrode units are arranged along an axis and sense the approach of an object to generate a first approach sensing signal and a second approach sensing signal, respectively. The first and second sensing electrode units are adjacent to each other and disposed between the first and second driving electrodes or the first and second driving electrodes are adjacent to each other and disposed between the first and second sensing electrode units.

The invention relates to the field of traffic rails and specifically relates to a method and a system for testing dynamic stiffness. The method for testing the dynamic stiffness includes that a force in a preset frequency range is applied to a rail in preset time to enable the rail to produce vibration; force signals and vibratory acceleration signals are real-timely acquired according to a preset sampling frequency; data of the force F, time corresponding to the force F, data of an acceleration a and time corresponding to the acceleration a are recorded according to preset time intervals, the acquired force signals and the acquired acceleration signals; a corresponding relation of a displacement X and the frequency f is obtained according to the corresponding relation of the data of the acceleration a and the time corresponding to the acceleration a; the corresponding relation of the displacement X and the time t is obtained; and the corresponding relation of the dynamic stiffness Z and the frequency f is obtained according to the corresponding relations and the corresponding relation of the dynamic stiffness, the displacement and the force, and namely, wide frequency dynamic stiffness is obtained. By means of the method and the system for testing the dynamic stiffness, the wide frequency dynamic stiffness of the rail can be tested.

The invention discloses a depth map calculating method which comprises the steps of: inputting plane image; pretreating; selectively carrying out basic depth map calculation, basic depth map real-time calculation, depth map calculation based on color segmentation and rapid depth map calculation based on color segmentation on the plane image; carrying out depth map improvement based on reference frame and color distribution and space position improvement based on current frame on the depth map obtained by calculation; and outputting the depth map obtained by calculation, the improved depth map based on the reference frame, the improved color distribution and space position depth map based on the current frame and the plane image. The invention can be used for improving the quality of the depth map, meets the needs of depth map calculation with multiple time and quality requirements, and is wider in application scope. The invention also discloses a depth map calculating device.

A surface acoustic wave (SAW) bio-chip is designed with signal processing circuits. The chip can achieve precise measurements or detection quantitatively via the difference between the experiment-control mode, and followed by amplification and filtering of the signal processing circuits. By changing the designs of the substrate, quantitative detection toward different analyses can be achievable.

The invention discloses a fundus image blood vessel segmentation method based on phase congruency and mainly overcomes the defect that a traditional method can not be used to accurately segment blood vessels in fundus images. The fundus image vascular segmentation method base on the phase congruency can be simultaneously used to segment small blood vessels of most tips. The method comprises the steps: (1) extracting green channels of the fundus images, (2) enhancing the contrast ratio of the images through contrast limited adaptive histogram equalization (CLAHE), (3) filtering the fundus images through the anisotropic coupled diffusion equation, (4) segmenting the blood vessels of the fundus images filtered or not filtered through the anisotropic coupled diffusion equation in a phase congruency algorithm, (5) multiplying pixel-levels of results of vessels, of two fundus images, segmented based on the phase congruency algorithm, (6) processing the images in a binaryzation mode through the iterative threshold segmentation method, (7) optimizing the images in the mathematical morphology method. The fundus image vascular segmentation method has significant application values in fields of three-dimensional splicing of the fundus images and judging existence of diabetes mellitus and severity of diabetes mellitus.

The invention provides a carrier wave tracking method and loop for a GPS signal receiver. The method comprises the steps that 101) a GPS satellite signal is received by an antenna, and down conversion and related processing are implemented on the received GPS satellite signal to obtain related results; 102) the related results are input into a discriminator to calculate the frequency or phase difference between the received signal and a local signal, wherein the discriminator is a frequency discriminator when a carrier loop is a frequency locked loop, and the discriminator is a phase discriminator when the carrier loop is a phase locked loop; 103) a discrimination result is filtered via a Kalman filter; and 104) an output result after filtering update is then input into a loop filter for filtering, a carrier-wave Doppler frequency is further output, and local carrier waves are generated according to the carrier-wave Doppler frequency and a carrier-wave frequency. According to the invention, the carrier loop in the tracking loop is improved and optimized via improved Kalman filtering, thereby simplifying calculation while greatly improving the tracking precision for high-sensitivity GPS signals.

An embedded capacitor substrate module includes a substrate, a metal substrate and a solid electrolytic capacitor material. The solid electrolytic capacitor material is formed on the metal substrate, so as to form a solid electrolytic capacitor with the substrate. The embedded capacitor substrate module further includes an electrode lead-out region formed by extending the substrate and the metal substrate. The metal substrate serves as a first electrode, and the substrate serves as a second electrode. An insulating material is formed between the substrate and the metal substrate. Therefore, the embedded capacitor substrate module is not only advantageous in having a large capacitance as the conventional solid capacitor, but also capable of being drilled or plated and electrically connected to other circuits after being embedded in a printed circuit board.

The invention discloses a demountable wireless earphone system. The system comprises a wireless earphone main body and a wired earphone, wherein the wireless earphone main body comprises a main controller and an audio switching unit connected with the main controller; the audio switching unit is used for switching an interface wire sequence of an audio socket; the wired earphone comprises an audio plug and a loudspeaker; the audio plug of the wired earphone is inserted into the audio socket of the wireless earphone main body in use; the main controller is used for judging whether the interface wire sequence of the audio plug is consistent with the interface wire sequence of the audio socket when the audio plug of the wired earphone is inserted into the audio socket of the wireless earphone main body and controlling the audio switching unit to switch the interface wire sequence of the audio socket to be consistent with the interface wire sequence of the audio plug when the interface wire sequences are inconsistent. According to the technical scheme, the audio switching unit is additionally arranged in the wireless earphone main body, so that the purpose of matching the demountable wireless earphone system with all wired earphones with audio interfaces which are 3.5 mm in size in the market can be achieved.

The invention discloses a method for enhancing blood vessels in retinal images based on the directional field, which includes: step one: the directional field Theta of a retinal image is calculated; step two: the blood vessels in the retinal image are enhanced according to the directional field Theta to obtain the enhanced image of retinal blood vessels; and step three: a Gabor wave filter is used for filtering noise in the enhanced image. The method can effectively enhance small blood vessels with low contrast ratio in the retinal images, which brings great convenience to the subsequent processing of the retinal images. In the invention, normalization processing is carried out to image backgrounds while the blood vessels are enhanced, which effectively overcomes influence of image noise and uneven lightness and saves the single normalization step. The invention has important practical value in the fields of dissection of blood vessels in the retinal and heart images and other fields.

The invention provides a system for identifying user voice through human body vibration to control an electronic device. The system includes a human body vibration sensor used for inducting human bodyvibration of a user, a processing circuit which is coupled with the human body vibration sensor and is used for controlling a pickup device for starting pickup when that a user voice signal is included in an output signal of the human body vibration sensor is determined, and a communication module which is coupled with the processing circuit and the pickup device and is used for realizing communication between the processing circuit and the pickup device. The invention further provides a method for identifying the user voice through human body vibration to control the electronic device, the method comprises steps that human body vibration is detected; that human body vibration includes vibration caused by speaking of the user is determined, and the pickup device is controlled for startingpickup.

Technical problems to be solved in the invention are that mobile phone is used in a noise environment, which may effectively filter noise, echo and other background noises of non-conversation angle. A method to improve voice call quality of mobile phone is that after the mobile phone is connected, a DSP samples and compares two paths of microphone signals input; the DSP discovers that amplitude difference of the two paths of microphone signals is appropriate and identifies the signals as valid signals and processes the signals relatively; when voice from non-conversation angle is delivered to the microphone, via pickup of the microphone, the DSP discovers that amplitude difference of the two paths of microphone signals exceeds a certain value and views the signal as non-conversation noise and filters the signal. Active effect of the invention lies in that the DSP realizes small angel pickup effect via digital process of two paths of monodirectional and omnidirectional microphones, which filters noise of non-conversation angle and improves voice call quality of mobile phone.

The invention discloses an image denoising method based on a residual convolutional self-coding network, and aims to overcome the problems of limited feature extraction capability of a traditional shallow linear structure and weak generalization capability of an existing image denoising model based on deep learning and the like. A residual convolutional self-encoding block composed of a residual block, a batch normalization layer and a self-encoder is used as a basic denoising network structure, and the multifunctional denoising residual convolutional self-encoding neural network is provided.The image denoising method disclosed by the invention not only has blind denoising capability, but also can remove noise different from a training set in type while keeping higher denoising quality and denoising precision.

The present invention discloses a method for detecting the cable connecting of the outdoor unit of the intelligent antenna, which settles the problem that the connecting sequence can not be detected when the intelligent antenna array is connected with the front unit of the outdoor radio frequency by a radio frequency coaxial cable in the TD-SCDMA communication system. The invention presents a method for confirming the connecting sequence of the corresponding cable according to the estimated data of the communication channel, changing the complexor sequence in the antenna array direction, searching the maximum value of the energy in the air space, and the antennae array direction complexor sequence which corresponds with the maximum value. The present invention effectively settles the problem of detecting the connecting sequence of the of the radio frequency cable in the realizing of the intelligent antenna project; the detecting sequence of the present cable can be accurately detected while the upgoing communication channel is adopted to process the data according to the criterion that the space detecting receiving power is maximum traversing all the cables at the condition that the calculating difficulty is effectively controlled; the smooth arithmetic is adapted for the originality, the noise and disturbance are sieved and the correctness of the detecting arithmetic is increased.

The invention relates to a system and a method for synchronously acquiring load and response signals of a machine tool vibration test. The system comprises four parts, namely an excitation subsystem, a response signal acquisition subsystem, a data acquisition front end and a data processor, wherein the excitation subsystem comprises a power amplifier, a vibration exciter and a vibration exciting rod; the response signal acquisition subsystem comprises a force sensor, multiple acceleration sensors and multiple charge amplifiers; the input end of the data acquisition front end is connected with the response signal acquisition subsystem; one output end of the data acquisition front end is connected with the excitation subsystem, and the other output end of the data acquisition front end is connected with the input end of the data processor; and the data processor prestores a program for performing data processing on the load and response signals. The test system can be used for avoiding measurement errors caused by signal delay, filtering out errors in acceleration signals, and accurately analyzing the dynamic vibration response of each part and the complete machine of a machine tool, and has the advantages that the test is accurate, the operation is simple and the like.