48results about How to "Reduced ringing" patented technology

The invention discloses an image super-resolution reconstruction algorithm based on a shallow convolution neural network and a deep convolution neural network. The method comprises the following steps: 1) selecting a training sample and a testing sample; 2) performing extracting, mapping, upsamping and multi-scale conversion to the deep network characteristics; 3) extracting the characteristics of the shallow network; and 4) combining the shallow network and the deep network. Compared with the prior art, with regard to the single image reconstruction and video sequence reconstruction, the algorithm of the invention can accurately and effectively reconstruct the model of a high-resolution image so as to obtain a good reconstruction effect. In addition, multi-scale detail characteristic extraction is achieved, and the algorithm has better results than that of other existing algorithms. The reconstruction speed is also fast.

The synchronous rectifier MOSFET in a Buck or boost DC / DC converter is operated as a current source rather than being turned off, thereby reducing undesirable losses in efficiency, the generation of unwanted electrical and radiated noise, and numerous other potential problems, particularly when the converter is operating in a light-load condition.

The invention relates to a sparse representation-based blind restoration method of a broad image, aiming at solving the technical problem that an image restored by the existing broad image blind restoration method is bad in effect. The method has the technical scheme that the broad image is sparsely represented by a fuzzy dictionary and a brilliant image is rebuilt by a brilliant dictionary to restore the image due to the characteristic that the sparse coefficient of the broad image under the fuzzy redundancy dictionary is coincident with that of the brilliant image under the brilliant redundancy dictionary. The illcondition during deconvolution can be avoided, the ringing effect at a high edge during image restoration can be reduced, and the image which is more brilliant can be obtained.

Charge pump circuit. A charge pump circuit is provided for use in a phase-lock loop circuit. The charge pump circuit comprises a charge pump core circuit that outputs a control voltage. The charge pump circuit also comprises a replica circuit that is coupled to the charge pump core circuit, wherein the replica circuit receives the control voltage and produces one or more bias signals that are coupled to the charge pump core circuit to minimize the difference between charge up and charge down currents generated by the charge pump core circuit.

A drumhead tone control device employs an annular configuration of polyester film tightly adhered to the periphery of a drumhead membrane. The annular configuration of the tone control device includes radial and / or circumferential relief. The relieved tone control device disrupts transmission of vibrations reflected from the drumhead membrane / drum shell interface. Disruption of reflected vibrations improves the overall tonal quality of the drumhead while use of a tightly adhered polyester sheet close to the periphery of the drumhead playing surface minimizes undesirable alteration of the attack characteristics and fundamental tone of the drumhead.

The invention discloses a motion blurred image blind restoration method based on multi-scale self-similarity, which is used for solving the technical problem that the available image blind restoration method is poor in image restoration effect. The method adopts the technical scheme that the multi-scale self-similarity characteristic of an image serves as prior information to be introduced into the image restoration problem; a clear image estimated by the previous scale serves as prior restriction of a next scale to conduct image restoration; a ring effect of the restoration image on a strong edge is reduced; and a clearer image can be obtained. The method improves the image restoration effect.

The present invention discloses an image super-resolution method based on the sparse regularization technology and the weighted guidance filtering. The method is characterized in that: a new sparse coding objective function is constructed by combining the non-local similarity of the image and the manifold learning theory, so that on one hand, similar image blocks are searched in the initial reconstruction image to construct the no-local similarity regularization term, and non-local redundancy of the image is obtained to maintain the edge information, and on the other hand, the local linear embedding method is used to construct the manifold learning regularization term, and the prior knowledge of the structure of the image is obtained to enhance the structure information; and the global error compensation model of the weighted guidance filtering is used to carry out error compensation on the reconstructed high-resolution image to obtain the image with a smaller reconstruction error andhigher quality.

The present disclosure provides a system and method for controlling positioning of a movable member of a MEMS microactuator to reduce bouncing and ringing. The system includes control circuitry in communication with the MEMS microactuator. The control circuitry is adapted to linearly increase an actuation signal from a first state to a second state to urge the movable member from a first position to a second position and hold the movable member in the second position. The control circuitry is further adapted to linearly decrease the actuation signal from the second state to the first state to release the movable member to the first position. A transition time is not less than the inverse of one quarter of a natural frequency of the movable member as the movable member moves to the first position.

Disclosed is a buck power converter. The buck power converter comprises a power transistor, an inductor, a first diode and an anti-ringing circuit. The power transistor is provided with a first end, a second end and a control end. The first end receives an input voltage. The control end receives a pulse-width modulation signal. The anti-ringing circuit detects a detection voltage at the second end of the power transistor, and according to the detection voltage, provides at least one second diode for series connection between the second end of the power transistor and a reference grounding end in a forward bias mode so as to clamp the voltage value of the detection voltage.

The invention discloses an image blind deblurring method based on a dark channel prior and a multi direction weighted TV(total variation), which mainly comprises steps of constructing an image blind restoration model and its solution, and finally obtaining a target image and a fuzzy kernel. The method of the invention aims at the problem that the total variation (TV) regularized image restorationhas the limited detail recovery capability and is sensitive to noise. In the method, multi-directional edge detection is utilized, the conventional TV model is improved, and a multi-direction weightedTV model based on edge detection is obtained; at the same time, in order to make the recovery model more universal and improve the detail recovery capability, the dark channel priors is fused into the above multi-direction weighted TV model. Experiments show that the target image restored by the method of the present invention has a perfect visual effect, the local smoothness of the image is maintained, the details such as the edge and texture of the image can be well restored, the ring effect is significantly reduced, and the fuzzy kernel estimation is more accurate.

The invention discloses a blurring kernel multi-scale iteration estimation method using a directional derivative of an image local structure. The blurring kernel multi-scale iteration estimation method comprises inter-scale updating, intra-scale iteration estimation and inter-scale iteration termination judgment. A blurring kernel and a recovering image are estimated from coarse scale iteration to fine scale iteration. The intra-scale iteration estimation comprises the following steps: calculating an enhanced type direction gradient filed of a current scale; estimating a blurring kernel of the current scale rapidly; calculating a directional derivative approximate spectrum of a current image; and recovering an image of the current scale. Gradient information of image jumping edges is utilized, with a quick Fourier transform technology based on, the blurring kernel is quickly estimated in a small time complexity, and the blurring kernel multi-scale iteration estimation method can be used for conducting blind deblurring on various actual blurring images.

The invention discloses an image deblurring method based on a redundant dictionary pair joint optimization, which is used for solving the technical problem that the recovery image in the dual-dictionary sparse image deblurring method under the existing sparse theory framework has strong ring effect at the strong edge. According to the method, a joint optimization function, an iteration solution point spread function and a clear image are established on the basis of the characteristic that the sparse coefficient of a fuzzy image under a fuzzy redundant dictionary is consistent with the sparse coefficient of a clear image under a clear redundant dictionary. The method enhances the robustness against noise, avoids the ill condition in the deconvolution process, reduces the ring effect of the recovery image at the strong edge, and obtains a clearer and more detailed image.

The invention provides a printed circuit board (PCB) wiring method and apparatus, and a PCB. The method comprises the following steps: determining the linewidth and the line spacing of a difference signal line; according to the linewidth and the line spacing of the difference signal line, respectively arranging the difference signal line and a single-end signal line on the PCB, and setting that the linewidth of the single-end signal line is not smaller than the linewidht of the difference signal line; arranging an arc connection signal line at a connecting position between the single-end signal line and the difference signal line, respectively connecting the two ends of a center line of the arc connection signal line with a center line of the single-end signal line and a center line of the difference signal line in a tangent mode, setting that the linewidth of the arc connection signal line is a linewidth ranging from the linewidth of the single-end signal line to the linewidth of the difference signal line, and respectively matching the linewidths of the two ends of the arc connection signal line with the linewidth of the single-end signal line and the linewidth of the difference signal line. Through such a technical scheme, the problem of signal integrity caused by impedance discontinuity between the single-end signal line and the difference signal line is solved.

The invention discloses an image super-resolution method based on multi-output least square support vector regression. The problem that existing images are low in resolution is mainly solved. The image super-resolution method includes the implementation steps of (1) building a sample base of HR luminance images and LR luminance images, and creating an LR image matrix and an HR image matrix, (2) creating a three-time amplified training set and a three-time amplified testing set according to the image matrixes, (3) training a multi-output least square support vector regression forecasting model through the training set, (4) estimating the HR luminance images of the LR image matrix in the testing set through the least square support vector regression forecasting model, and (5) updating the estimated HR luminance images through image self-similarity, and obtaining final HR images. According to the image super-resolution method, the operating time is short, the image resolution can be effectively improved, and the image super-resolution method can be used for improving the quality of satellite images and the imaging quality of high definition televisions.

The invention discloses a method and a device for removing motion blur of an image. The method comprises: firstly, performing overlapped image block division on an input blurred image; selecting a group of reference image blocks from the blurred image for each overlapped image block; obtaining a series of preliminarily estimated blurred kernels for all reference image blocks corresponding to eachoverlapped image block by using an existing blurred kernel estimation method; obtaining a plurality of overlapped blurred image blocks, selecting a local optimal blurred kernel from the overlapped blurred image blocks by using an L0 sparsity blurred kernel quality measurement standard, finally performing non-blind deconvolution on the corresponding overlapped blurred image blocks by using each local optimal blurred kernel to obtain deblurred image blocks, and splicing the deblurred image blocks together to obtain a final deblurred image. When the motion blur of the image is removed, the continuously changing non-uniform motion blur can be effectively removed, and the ringing effect is reduced as much as possible.

A digital amplifier system for driving a capacitive load includes a digital amplifier controller responsive to a digital input command for producing a pulse density modulation signal representative of the digital input command; a switching amplifier for amplifying the pulse density modulation signal and an inductive filter for demodulating the amplified pulse density modulation signal to provide a drive current to drive a capacitive load in response to the digital input command.

A patient monitoring device and method that determines and monitors at least one patient parameter is provided. A configuration processor generates configuration information in response to a first input signal and an adaptive notch filter receives a second input signal. The second input signal includes a signal of interest and an interference signal in a predetermined frequency range. The adaptive notch filter automatically estimates the interference signal within the second input signal based on a filter parameter and removes the estimated interference signal from the second input signal to generate a target signal. A step processor is electrically coupled between the configuration processor and the adaptive notch filter and sets a value of the filter parameter based on the configuration information, wherein the adaptive notch filter uses the filter parameter to reduce a ringing artifact on the target signal below a threshold level.

Damped vibration of a releasing current in a power conversion apparatus is alleviated. The power conversion apparatus comprises a switch element connected with an inductive load; a freewheel diode being in reverse parallel connection with the switch element; a first conductor located on a current path and connected with the switch element and the freewheel diode; and a damped vibration alleviating circuit being in parallel connection with the first conductor. The first conductor and the damped vibration alleviating circuit are electrically connected on a first contact and a second contact. The damped vibration alleviating circuit comprises a second conductor, a resistor and a capacitor which are connected between the first contact and the second contact in a parallel way. The second conductor is magnetically coupled to the first conductor between the first contact and the second contact.

The invention discloses an infrared signal processing circuit capable of reducing disturbance and relates to the technical field of infrared signal circuits. The infrared signal processing circuit capable of reducing the disturbance comprises an operation amplifier U6-A, the non-inverting input end of the operation amplifier U6-A is electrically connected with an infrared signal input end IR_SIG_IN, and the output end of the operation amplifier U6-A is electrically connected with a first voltage stabilization filtering circuit. The first voltage stabilization filtering circuit comprises a resistor R14 with two ends electrically connected with the inverting input end and the output end of the operation amplifier U6-A. The first voltage stabilization filtering circuit further comprises a diode D5 with an anode electrically connected with the output end of the operation amplifier U6-A. A cathode of the diode D5 is electrically connected with the inverted input end of the operation amplifier U6-A. The output end of the operation amplifier U6-A is further electrically connected with an infrared signal output end IR_SIG_OUT. The infrared signal processing circuit effectively removes disturbance signals, increases a radiation distance of infrared signals and improves the radiation performance of the infrared signals.

The invention provides a microfluidic detection system and a detection method thereof. The system comprises an MCU processor, a light source control IO, a 700nm characteristic variable frequency light source control circuit, a total phosphorus reagent disc chip, a PD receiving circuit, a small signal amplification and filter circuit and an AD sampling circuit. According to the microfluidic detection system and the detection method thereof, a characteristic frequency conversion signal is adopted for detection, so that the detection system and the detection method can be adaptive to different interference signals, including light source fluctuation, PD temperature drift fluctuation, zero drift and the like, the measurement precision is improved, and the error range is reduced.

An apparatus and method of obtaining information about a property of interest relating to an earth formation resulting in reduced ringing effects is discussed. A Nuclear Magnetic Resonance (NMR) logging tool is conveyed into a borehole in the earth formation. A first pulse sequence is applied having a first associated measurement frequency, and first NMR signals are measured. The first NMR signals include non-formation signals resulting from an excitation pulse and a refocusing pulse in the first pulse echo sequence. A second and third pulse sequence, at different frequencies from each other and from the first frequency, is applied, and corresponding second and third NMR signals are measured. A phase of the non-formation signals resulting from the first pulse echo sequence and a phase of the non-formation signals resulting from the second and third pulse echo sequences are substantially evenly distributed around a unit circle.

The invention provides a method of using natural image prior-knowledge for multi-image super-resolution reconstruction. According to the method, a fields-of-experts model obtained by learning is introduced to be used as the natural image prior-knowledge in a process of using a series of low-resolution images for super-resolution reconstruction, and quality of multi-image super-resolution reconstruction is improved. Compared with prior knowledge of L1-norm, total variation and the like used by traditional Bayesian multi-image super-resolution methods, the natural image prior-knowledge used in the method is the fields-of-experts model obtained through training of an image database, and can better extract statistical features of natural scenes, and thus obtain better super-resolution reconstruction effects. The method simplifies partial processes of multi-image super-resolution, and shortens calculation time.

The present invention discloses a method for reducing ringing effects in an X-ray image. The method includes the steps of acquiring the X-ray image by scanning an object, wherein the X-ray image comprises grid line artifacts, applying a first bandwidth filter and a second bandwidth filter to the X-ray images respectively to obtain a filtered first image and a filtered second image, wherein the first bandwidth filter and the second bandwidth filter have different bandwidth, building a weight map according to the X-ray image, and fusing the filtered first image and the filtered second image by using the weight map to obtain an output image. The present invention also discloses a system using the method.

The invention discloses an NCSR model-based three-dimensional collaborative filtering and denoising method. The method specifically comprises the following steps of: 1, extracting edge pixel points ofimages with noise, and storing coordinates of the edge pixel points in W so as to realize pixel classification; 2, grouping the images with noise in the step 1 through a block matching manner; 3, carrying out collaborative filtering and denoising on each group of image blocks in the step 2; and 4, carrying out weighted average on the images denoised in the step 3 and carrying out aggregation to solve final estimated values of the images, and carrying out regional processing on the images with noise so as to further improve the clearness degrees of detail parts of the images. According to theNCSR model-based three-dimensional collaborative filtering and denoising method, noise is filtered by utilizing a filter formula in an NCSR model, so that non-local similarity of the images is sufficiently utilized, and the halo and ring effects in denoising results are obviously decreased.

The invention is applicable to the technical field of electronics, and provides an anti-radio frequency interference circuit and an electret microphone. The anti-radio frequency interference circuit comprises an acoustoelectric converter and an anti-interference unit, the acoustoelectric converter is used for converting an acoustoelectric signal output by an acoustoelectric signal source into a voltage source signal, and the anti-interference unit is used for carrying out anti-radio frequency interference processing on the voltage source signal; the anti-interference unit comprises a first resistor and a first capacitor; one end of the sound pressure signal source is connected with the grid electrode of the acoustoelectric converter through series connection with the first resistor, and the other end of the sound pressure signal source is grounded after being connected with the source electrode of the acoustoelectric converter. A first capacitor is connected in series between the drainelectrode and the source electrode of the acoustoelectric converter.