200 results about "Dual threshold" patented technology

Apparatus and methods are disclosed for reducing the potentially harmful effects of electromagnetic waves on an implantable medical device. In one embodiment of the present invention, an implantable medical system comprising a dual threshold magnetic sensor capable of detecting an elevated magnetic field is disclosed. The sensor can comprise a solid-state sensor capable of detecting a static magnetic field in excess of about 1500 Gauss. The magnetic sensor can be operatively coupled to electronics that are capable of altering the operation of the system upon detection of an elevated magnetic field by the magnetic sensor.

The invention discloses a speaker recognition method based on depth learning. The method comprises the following steps: S1) carrying out pre-emphasis and overlapping-type framing windowing on collected voice signals; S2) carrying out endpoint detection on the collected voice signals by utilizing a dual-threshold endpoint detection method based on short-time energy and short-time zero-crossing rate, and judging and indentifying the staring moment, transition stage , noise section and ending moment of the voice; S3) carrying out feature extraction on the voice signals; S4) forming a depth belief network model based on restricted boltzmann machine hierarchy, training the established depth belief network model by utilizing layer-by-layer greedy algorithm and with speaker voice feature parameters being combined, and adding a Softmax classifier to the top layer of the depth belief network model; and S5) inputting the voice features of a speaker to the depth belief network model obtained after being subjected to training, calculating the probability that the model outputs voice features similar to the voice features of the other speakers, and selecting the speaker corresponding to the maximum probability as recognition result.

A six transistor SRAM cell for single-ended sensing is described along with related memory architecture. The cell comprises a bistable circuit connected to complementary bit lines through a pair of passgate transistors. One of the passgate transistors has a lower threshold voltage than the other transistor. The lower threshold voltage is used to couple the cell to a single-ended sense amplifier through one of the bit lines. In one embodiment fewer than all the bit lines in an array are precharged in order to reduce power consumption in the array.

A system and method in which a Radio Link Failure, RLF, report from a User Equipment, UE, provides system time-based timestamps to enable a source node to correctly analyze the real cause of an RLF associated with a handover. The timestamps are provided for the latest fulfillment of each event-specific entering condition associated with a handover-triggering event and for the occurrence of the RLF. The recorded timestamps are sent as part of RLF-reporting information to be forwarded to the source node to assist the source node in adjusting event-specific threshold(s) as well as other non-threshold related handover parameters such as the Time To Trigger, TTT, period, the time delay between a UE's transmission of its Measurement Report and the source node's transmission of the handover command, and the like, to reduce similar RLFs in the future. The generation of timestamps does not waste the UE's processing resources or battery power.

The present invention discloses a road detection algorithm of fusion of area and edge information. The algorithm comprises: collecting road image, and employing self-adaption median filtering and noise reduction to obtain enhanced images; selecting the R component of the enhanced images in the RGB color space, employing a maximum between-cluster variance (Otsu) method to realize the road area segment of the images to obtain a binary segmentation image, and optimizing the binary segmentation image through adoption of the serial mathematical morphology; detecting the binary segmentation image through adoption of the optimal edge detection Canny detector to detect the binary segmentation image and obtain the road edge detection information, and employing the Otsu method to calculate the dual threshold in the optimal edge detection Canny detector; and employing the binary segmentation image and the road edge detection information to obtain a road border line in the image. The road detection algorithm of fusion of area and edge information employs the image processing technology to detect and extract the road information for the autonomous navigation system of a cable tunnel robot; and moreover, the road detection algorithm of fusion of area and edge information is a self-adaption road border line segmentation fusion method and can obtain a smooth and accurate road edge.

A domino logic circuit is configured to reduce power consumption. In a first embodiment, a sleep switch grounds the dynamic node during sleep mode. In a second embodiment, a low-swing circuit at the output reduces the output and keeper transistor gate voltage swings. A third embodiment combines those two techniques.

The invention discloses a network violent video identification method based on multiple examples and multiple characteristics. The method for identifying the network violent videos comprises the steps of grasping violent videos, non-violent videos, comments on the violent videos, comments on the non-violent videos, brief introductions of the violent videos and brief inductions of the non-violent videos from a video sharing network, and structuring a video data training set; extracting textural characteristics from textural information of the training set, forming textural characteristic vectors to train a textural pre-classifier, and screening out candidate violent videos by using the pre-classifier; using a shot segmentation algorithm based on a self-adapting dual threshold for conducting segmentation on video segments of the candidate violent videos, extracting related visual characteristics and voice frequency characteristics of each scene to express the scene, taking each scene as an example of multi-example study, and taking video segments as a package; and using an MILES algorithm for converting the package into a single example, using a characteristic vector for training a classifier model, and using the classifier model for conducting classification on the candidate violent videos. By the utilization of the network violence video identification method, bad influences that the network violent videos are broadcasted without constrain are largely lightened.

A structure and method for forming a dual metal fill and dual threshold voltage for replacement gate metal devices is disclosed. A selective deposition process involving titanium and aluminum is used to allow formation of two adjacent transistors with different fill metals and different workfunction metals, enabling different threshold voltages in the adjacent transistors.

The invention discloses an electrocardiosignal (ECG) data analysis method suitable for a mobile platform. The electrocardiosignal (ECG) data analysis method includes subjecting collected electrocardiosignal data to original ECG electrocardiosignal median filtering; detecting and positioning an R wave through a self-adaption dual-threshold algorithm; detecting two forward waves before and after the R wave, wherein the two forward waves are a P wave and a T wave; detecting two negative waves on two sides of the R wave, wherein the two negative waves are a Q wave and an S wave; using starting point and terminal point positions of the R wave, the P wave, the T wave, the Q wave, and the S wave to calculate ECG feature values of wave point intervals for arrhythmia diagnosis. According to the ECG data analysis method suitable for the mobile platform, the accuracy for detection of arrhythmia can reach over 92%; since an algorithm structure is concise, processing efficiency is high, only 12s is required for processing one-minute ECG data on a Cortex A8/Android mobile platform, and the method is suitable for developing a mobile platform based portable admeasuring apparatus.

The invention provides a method for extracting linear ground objects. A remote-sensing image is preprocessed and a preprocessed image is obtained; a vegetation region is extracted from the preprocessed image and removed, and a target region is obtained; features of the image of the target region are extracted according to the types of the linear ground objects and vectorized, and a linear ground object vectorization file is obtained. According to the method, first, the remote-sensing image is preprocessed and the vegetation region is extracted to remove other ground objects around the linear ground objects, and thus the target region can be highlighted in the image. Then, features of the target region are extracted through dual threshold filtering according to the different types of linear ground objects. The method for extracting the linear ground objects can solve the problem that when single threshold filtering extraction is performed, an appropriate threshold needs to be selected, has good ability to detect the edges of the linear ground objects, avoids the spiced salt phenomenon furthest, facilitates vectorization and compensates for the defect that in the prior art, the linear ground objects can only be detected and extracted qualitatively to elevate the quality level of land.

The invention discloses a high-resolution radar dual-threshold detector based on energy accumulation, belonging to the field of signal processing. Values of all distance units in a distance window, passing through a square-law detector, are compared with a first threshold, quantity and positions a target scattering center are extracted, then energy of the scattering centers is accumulated and compared with a second threshold to obtain a final detection judgment. Compared with the traditional detection, the detector deduces a calculation formula of the threshold to ensure that actual application is more convenience and flexible, is simple in form, is easy to engineering realization, and has better robustness and detection property under the condition of unknown distribution of the scattering centers.

Circuits are provided for simultaneously reducing the subthreshold and gate oxide leakage power consumption in domino logic circuits. Sleep transistors and a dual threshold voltage CMOS technology may be utilized to place idle domino logic circuits into a low leakage state. The circuits may significantly lower the total leakage power as compared to the standard dual threshold voltage domino logic circuits at both the high and low die temperatures. The energy overheads of the circuit techniques may be low, justifying the activation of the proposed sleep schemes by providing net savings in total power consumption during short idle periods.

The invention discloses a color image edge detection method based on a quaternion theory and a canny algorithm, and belongs to the field of image processing and computer vision. The method comprises the steps that 1) an original color image is represented by a quaternion; 2) smooth filtering is carried out on the color image; 3) a color quaternion edge characteristic matrix is built and used for analyzing the edge characteristics and the structural characteristics of the color image; 4) non-maximum value restraining is carried out on the gradient magnitude of the image obtained at the step 3); 5) dual threshold method detection and edge connection are carried out. The algebraic operation and the spatial characteristic of the quaternion are utilized, all the pixel points of the color image are represented by the pure quaternion, the color quaternion edge characteristic matrix is built and used for analyzing the edge characteristics and the structural characteristics of the color image, edge neighbourhood brightness hopping and color hopping are fused, color information missing in a traditional algorithm is avoided, the introduction of noise is reduced, and locating precision and anti-noise performance are improved.

The invention discloses a high precision rapid extraction method of the centerline of blood vessels based on a boundary distance field, which mainly solves problem that both the extraction rate of blood vessel in CAT angiogram volume data and the extraction precision of centerline are low. The method comprises the following steps of using octree for partitioning the volume data and recording all blocking partition information; using relationship between maximum value and minimum value of each blocking partition and dual threshold for extracting blood vessels and calculating the boundary distance field; using the summation of reciprocal of gradient value of blood vessel voxel in the original CTA data and laplace transformation value as the initial value of the boundary distance; establishing a maximum cost spanning tree based on the boundary distance field and extracting the trunk of the tree as initial centerline of blood vessels; using gravity method for revising the initial centerline, thus leading the points on the centerline to be at the gravity center of the cross section of blood vessel lumen, thus obtaining the final blood centerline. The extraction method has the advantages of high blood vessel extraction rate, high centerline extraction precision, and is applicable to the centerline extraction of various lumen tissues.

The invention discloses a low-altitude target tracking system based on a FPGA. The low-altitude target tracking system comprises an image acquisition module for initially configuring a video decoding chip, wherein the image acquisition module decodes a data format on a video decoding chip bus to extract a video field, line and effective pixel data, and extracts the pixel gray level; the to-be-processed pixel and neighborhood value are registered in the preprocessing module to form a filter window, the FOFI and the data in the register are updated once at each gray level clock so as to obtain a new filter window; the data in the filter window is sorted and selected to obtain a filter mid value; a target segmentation module for performing sub-window region average gray value computation, dynamic dual-threshold computation and binarization; a target positioning module for performing centroid computation and prediction; a communication module for sending a target centroid coordinate; and a cradle head control module for controlling a cradle head to rotate according to the centroid position of a target, and controlling the target at the view center of a camera.

The invention provides a dual-threshold control system and a dual-threshold control method for a switch power supply. The system comprises a rectifying circuit, a converting circuit and a control circuit, wherein the converting circuit is connected with the rectifying circuit, the control circuit is connected with the converting circuit and is used for controlling the output voltage of the converting circuit, and a dual-threshold selector is arranged in the control circuit. According to the dual-threshold control system and the dual-threshold control method for the switch power supply, through the additional arrangement of the dual-threshold selector, the selector can select different output thresholds according to the output load weight of the system. When the system is changed from the light load into the heavy load, the dual-threshold selector can timely regulate the output threshold, further, the switching-on time of a switch tube Q1 is timely regulated, the dynamic response speed of the system is accelerated, the output voltage ripple of the system is reduced, and the transformer noise caused by sudden load changes cannot be heard by people.

The invention discloses a fundamental frequency detection method based on improved experience wavelet transformation. The method comprises steps of step 1, preprocessing a speech signal: calculating short-term energy and zero-crossing rate of the speech signal, using a dual-threshold method to carry out rhythm segmentation and passing the segmented signal through a 50-1500Hz band-pass filter for filtering so as to obtain pre-processed speech signal; step 2, using the improved experience wavelet transformation method to decompose the preprocessed speech signal so as to obtain each mode function of the speech signal; step 3, according to the mode function, selecting the main mode of the speech signal; step 4, using Hilbert transformation to solve a transient fundamental frequency value of the main mode; and step 5, using a rectangular window function to carry smoothing processing on the transient fundamental frequency value obtained in the step 4 to finish the fundamental frequency detection. The method is characterized by high accuracy, quite good robustness and high time resolution.

A dual mode transient recovery control method and system is proposed, which is designed for use with a direct-current (DC) power output unit, such as a DC-DC converter, for fast transient recovery of DC output power by switching the DC-DC converter to operate between a hysteretic mode and a PWM (Pulse Width Modulation) mode. The proposed control method and system is characterized by the use of a dual-threshold scheme to compare the output voltage. This feature may discharge the transient output voltage, raised by the over-shoot, to the steady state by switching to the discharging mode, and similarly charge the transient output voltage, dropped by the under-shoot, to the steady state by switching to the charging mode. This mechanism may allow DC-DC converters with higher slew rate to make transient ripples of output voltage to return to steady state more quickly, and additionally allow a better level of noise immunity.

The invention discloses an image edge detection method with Canny operator improvement. The method comprises: S1, carrying out smoothing processing on an image and suppressing noises by using a gaussian filter; S2, calculating an image gradient amplitude and direction after smoothing; S3, carrying out non-maximum-value suppression on a gradient; S4, calculating high and low threshold values by using an iterative algorithm; S5, carrying out edge detection and connection by using a dual-threshold algorithm; and S6, carrying out edge refinement by using a mathematical morphological method. Therefore, noises can be suppressed effectively and an optimal segmentation threshold value can be obtained. The method is suitable for detection of a medical cell image.

The invention discloses a clutter map constant false alarm method based on a multi-frame dual-threshold two-stage detection mechanism. The clutter map constant false alarm method comprises the following steps that the clutter power estimation values of all the detection units in a radar scanning image are initialized; the measurement values of all the detection units of the current radar scanning image are acquired; the high threshold and low threshold of the first stage detection of each detection unit in the current scanning image are calculated; the statistical quantity of the first stage detection is determined according to the size relation between the measurement values of the detection units and the high threshold and low threshold; the statistical quantity of the first stage detection of each detection unit is stored in a shift register; summation of the statistical quantity of all the first stage detection of all the shift registers is performed so that the statistical quantity of the second stage detection is obtained and one time of accumulation is performed on a counter; and appearance of a target in the current scanning image and updating of a clutter map are determined according to the statistical quantity of the second stage detection and the second stage detection threshold and the size relation between the accumulation value of the counter and the length of the shift registers.

The invention relates to a low signal to noise ratio voice endpoint detection method based on a time-frequency instantaneous energy spectrum. A traditional method used for reducing noise is not ideal in noise-reducing effect. The detection method comprises that noise-contained voice is resolved firstly and reconstructs a low frequency component which is resolved, by regarding the time-frequency instantaneous energy spectrum as a basis of the endpoint detection. After being reconstructed, the signal is dealt by an empirical mode decomposition and the screening and rejecting of an intrinsic mode function are carried out in order to gain an effective international monetary fund (IMF) component by applying a correlation coefficient threshold value principle. The IMF component gained through reconstruction undergoes a Hilbert transformation and a corresponding instantaneous energy spectrum is calculated to form a feature vector of voice endpoint detection. The result is dealt with the subframe. A former five frames instantaneous energy spectrum mean value is regarded as the instantaneous energy spectrum of the noise and a start-stop dual threshold method is adopted to detect the endpoint of the noise. The detection method has the advantages of improving the noise-contained time-frequency resolving power and improving the efficiency of the voice endpoint detection.

The invention relates to a laser ceilometer dynamic threshold selecting method based on pulse echo forms, and belongs to the field of laser remote sensing. The laser ceilometer dynamic threshold selecting method based on the pulse echo forms solves the problems that in an existing threshold selecting method, only extreme point positions or fifty-percent peak point positions or dual-threshold positions of pulse echoes are adopted to confirm transition time of laser pulses, the selected thresholds can be only suitable for specific measurement conditions or plane targets of small slopes. According to the laser ceilometer dynamic threshold selecting method based on the pulse echo forms, a mathematic model of the laser ceilometer pulse echo forms, noise standard deviation and threshold rising edge moment variance is regarded as a theoretical basis, the range error minimization of a laser ceilometer serves as a basis, and the optimization selection of the threshold coefficient of the laser ceilometer is achieved through a parameter iterative search method. The influences of noise and pulse widening introduced by gap title effects of the plane targets are fully considered in the threshold value selection method, range errors caused by threshold setting can be reduced, and the satellite-borne laser ceilometer can complete high-precision laser ranging of the plane targets of different slopes under different measurement conditions.