2788results about How to "Improve noise immunity" patented technology

A random code length polar encoding method includes: during construction of a polar code, if the code length is not the power of 2, using a group of virtual channels with the capacity of zero for supplementing the channel number to be the power of 2; performing mixed mapping for each channel according to the capacity equalization principle; and performing polar conversion for the obtained channels, selecting the channels with higher capacity from converted channels according to the designed bitrate for transmitting information bit sequences, and using the rest channels for transmitting a known fixed bit sequence of a receiving end and a transmitting end. The method enables polar encoding to allow the code length to be an optional positive integer and is applicable to multi-carrier and high-order modulation systems, and the added perforating operation enables the encoding bit sequences outputted by an encoder to be optional in length; by means of channel mixed mapping, polar encoding can adapt to different component channels of parallel channels, so that anti-noise performance is good; and flexibility of using polar codes for a practical digital communication system is greatly improved, and accordingly the method has good application prospect.

A pulse oximetry sensor has an emitter adapted to transmit optical radiation into a tissue site and a ceramic detector adapted to receive optical radiation from the emitter after tissue site absorption. The detector is surrounded by shielding material to reduce undesirable electromagnetic interference.

Enhanced accuracy finger position and motion sensors devices, algorithms, and methods are disclosed that can be used in a variety of different applications. The sensors can be used in conjunction with partial fingerprint imagers to produce improved fingerprint scanners. The finger motion sensors may also be used (either with or without a partial fingerprint imager) to control electronic devices. When several of these finger motion and position sensors are aligned in different directions, finger motion over a two dimensional surface may be detected. This creates a finger controlled “mouse” computer input device. Motion of a finger along the surface of such sensors may allow a user to control the movement of an indicator on a display screen, and control a microprocessor device. Such techniques are particularly useful for small space constrained devices, such as cell phones, smart cards, music players, portable computers, personal digital accessories, and the like.

Clock alignment circuits and techniques for reducing power dissipation, increasing power supply noise immunity, decreasing process and temperature variation sensitivity, and providing a wide operating range. A power supply generator generates an isolated supply voltage for a delay line used in a clock alignment circuit. The delay line generates a delayed clock from a reference clock. A comparator detects a correction information (i.e., delay or phase error) between the delayed clock and the reference clock and generates error information representative of the correction information. A charge pump circuit converts the error information into a voltage signal, wherein the voltage signal is a scaled representation of the error information. The power supply generator includes an amplifier having a first input coupled to the voltage signal and an output to provide the supply voltage and a capacitor coupled between the supply voltage and a ground voltage, wherein the amplifier tracks the voltage signal level to regulate the supply voltage.

The invention provides a voiceprint identification method based on a Gauss mixing model and a system thereof. The method comprises the following steps: voice signal acquisition; voice signal pretreatment; voice signal characteristic parameter extraction: employing a Mel Frequency Cepstrum Coefficient (MFCC), wherein an order number of the MFCC usually is 12-16; model training: employing an EM algorithm to train a Gauss mixing model (GMM) for a voice signal characteristic parameter of a speaker, wherein a k-means algorithm is selected as a parameter initialization method of the model; voiceprint identification: comparing a collected voice signal characteristic parameter to be identified with an established speaker voice model, carrying out determination according to a maximum posterior probability method, and if a corresponding speaker model enables a speaker voice characteristic vector X to be identified to has maximum posterior probability, identifying the speaker. According to the method, the Gauss mixing model based on probability statistics is employed, characteristic distribution of the speaker in characteristic space can be reflected well, a probability density function is common, a parameter in the model is easy to estimate and train, and the method has good identification performance and anti-noise capability.

The present invention provides a dual reference cell sensing scheme for non-volatile memory. A high voltage reference cell and a low voltage reference cell are individually coupled to two sense amplifiers for providing two distinct reference voltages for comparison against the memory cell voltage. The output of the two sense amplifiers is further connected to a second stage sense amplifier to determine the status of the memory. The dual reference cell sensing scheme provides an increased sensing window which increases performance under low voltage application. The dual reference cell sensing scheme can be implemented by either voltage-based, current-based, or ground.

Herein disclosed a semiconductor device in which a semiconductor chip is mounted over a substrate, the device including a plurality of through-interconnects configured to be formed inside each of through-holes that penetrate the substrate and be led from the semiconductor chip to a face of the substrate on an opposite side of the semiconductor chip.

A voice controlled voice-messaging systems permits manipulation of voice messages over the telephone without the need for keypressed commands. Manipulation includes playback of messages, deletion of messages, saving messages, and sending a new message to a recipient from a user-defined list. Access to the messaging system is by spoken password. Voice input also allows the following functions: enrollment of a spoken password; granting or refusing user access to the system based on verification of the user speaking a password; recognition of spoken utterances of "yes" and "no" in response to prompts by the VMS; recognition of "stop" to interrupt and stop a voice message during playback; enrollment of a spoken personal directory of names of potential message recipients; and recognition of names in the spoken personal directory. The invention uses speaker verification, speaker-independent recognition (SIR) of "yes / no", speaker-independent recognition of "stop" during message playback, and speaker-dependent recognition (SDR) of a limited vocabulary of short phrases such as a list of message recipients' names.

Enhanced accuracy finger position and motion sensors devices, algorithms, and methods are disclosed that can be used in a variety of different applications. The sensors can be used in conjunction with partial fingerprint imagers to produce improved fingerprint scanners. Such improved scanners can use image analysis techniques, such as interpolation between partial fingerprint images to correct for missing data, or discarding redundant partial fingerprint image data, to produce adequate fingerprint images even when the finger has not been applied to the sensor using an optimum technique.

A mutual capacitance touch panel device includes a substrate and an array of electrode elements formed on the substrate, each electrode element including a drive electrode and a pair of dual-function electrodes. In addition, the pair of dual-function electrodes of each electrode element are arranged substantially symmetrically around the drive electrode of the respective electrode element such that a first dual-function electrode of the pair is adjacent to the drive electrode and the second dual function electrode of the pair is separated from the drive electrode by the first dual-function electrode.

A fluorescent image obtainment apparatus includes a light illumination means that illuminates a region to be observed with illumination-light and excitation-light at the same time, and an imaging means that captures an image composed of light reflected from the region illuminated with the illumination-light and an image composed of fluorescence output from the region illuminated with the excitation-light. Further, the apparatus includes an image processing means that produces an ordinary image based on the image of the reflection light and a fluorescent image based on the image of fluorescence, and a light amount control means that controls the light amount of the illumination-light so that a representative luminance value of the ordinary image becomes a predetermined luminance value and the light amount of the excitation-light so that the ratio of the light amount of the excitation-light to that of the illumination-light becomes a predetermined ratio.

A directional sensor array system generally for remote audio collection applications that is modular, scalable, and robust with the modules assembled in layers. The invention can alternatively employ sensors other than microphones, such as ultrasonic transducers and accelerometers. In the preferred embodiment, the sensors are mounted on tiles, each of which performs its own local beamforming using a low-impedance resistive summation technique. The tiles are constructed in a layered, sandwiched fashion and incorporate integral protection from wind, sand, dust, moisture, radio frequency noise, vibration, ambient acoustic noise, and directional acoustic noise, as well as provide inter-sensor isolation. Multiple tiles can be joined together physically and electrically. When joined, a secondary parallel beamforming is performed on the bus using electrical summation. Due to the techniques employed, large scale arrays are feasible at low power consumption—for example, an array of 400 microphone elements can be powered for over 6 hours by a single 9 volt battery.

A current detector comprising a current-path conductor assembly and a Hall generator assembly. The current-path conductor assembly includes a sheet-metal current-path conductor and a plastic conductor holder molded in one piece therewith. The Hall generator assembly includes a Hall generator in the form of a semiconductor chip mounted to a metal-made mounting plate, a set of leads electrically connected to the Hall generator, and a plastic encapsulation enveloping the Hall generator and parts of the leads. The Hall generator assembly and the current-path conductor assembly are combined by bonding together the encapsulation of the Hall generator assembly and the conductor holder of the current-path conductor assembly. The conductor holder and the encapsulation are shaped in interfitting relationship to each other, so that when they are united, the Hall generator is positioned to generate a Hall voltage in response to a magnetic field due to the current flowing through the current-path conductor.

The invention discloses a man-machine cooperation device and method based on a Kinect video camera. The man-machine cooperation device and method based on the Kinect video camera is mainly based on a Kinect video camera which is launched by the Microsoft Corporation recently so as to achieve detecting and tracking of a human body target. The man-machine cooperation device and method based on the Kinect video camera can accurately judge the position of a target object and the intention of a tester by utilizing Kinect human skeleton detecting technology, and therefore the risks which occur in the process of handover are avoided. Besides, a rail rapid transit (RRT) algorithm based on working space is provided to achieve route planning. Through repeated experimental verification, the system can conduct interpersonal handover safely.

The invention relates to a road and obstacle detecting method based on remotely piloted vehicles. The method includes adopting a four-wire laser radar as a distance sensor and calculating slope information of roads in a driving area according to the relative position correspondence of pavement data points on different scanning layers; fitting left and right road edges by the COBWEB algorithm and the least square fit improved on the basis of Euclidean distance according to characteristics of road edge data points, enhancing anti-jamming capability, accuracy and stability of road edge detection; applying DST (Dempster-Shafer theory) evidence theory to establish a raster map for the environment ahead of the remotely piloted vehicles, and estimating positions of each raster before integrating prior- and posterior-frame maps. Consequently, the problem of integration of prior and posterior raster cells in the local map is solved. Finally, dynamic faults can be detected by means of conflict coefficient in a driving area, and the dynamical obstacles can be clustered and information thereof can be extracted by the improved eight-neighborhood zone marker algorithm. The road and obstacle detecting method can stably and accurately detect road and obstacle information.

A circuit card stripline Fast Faraday cup quantitatively measures the picosecond time structure of a charged particle beam. The stripline configuration maintains signal integrity, and stitching of the stripline increases the bandwidth. A calibration procedure ensures the measurement of the absolute charge and time structure of the charged particle beam.

Generally, the present invention determines and uses spectral peak information, which preferably augments feature vectors and creates augmented feature vectors. The augmented feature vectors decrease errors in pattern recognition, increase noise immunity for wide-band noise, and reduce reliance on noisy formant features. Illustratively, one way of determining spectral peak information is to split pattern data into a number of frequency ranges and determine spectral peak information for each of the frequency ranges. This allows single peak selection. All of the spectral peak information is then used to augment a feature vector. Another way of determining spectral peak information is to use an adaptive Infinite Impulse Response filter to provide this information. Additionally, the present invention can determine and use incremental information. The incremental information is relatively easy to calculate and helps to determine if additional or changed features are worthwhile. The incremental information is preferably determined by determining a difference between mutual information (between the feature vector and the classes to be disambiguated) for new or changed feature vectors and mutual information for old feature vectors.

A ground-fault detecting device includes a power source which is electrically insulated from a vehicle body, a pulse signal generator which generates a pulse signal having a high level and a low level which appear repeatedly in a prescribed cycle, a detection resistor which is connected to the pulse signal generator and the power source, a coupling capacitor which is connected to the detecting resistor in series, an integrator which integrates a difference between a first reference voltage and a detection voltage of the pulse signal at a connecting point of the detection resistor and the coupling capacitor over an integration interval, and a ground-fault determinant which judges whether a ground fault has occurred on the basis of an output of the integrator. The integration interval is at least part of a high-level interval and a low-level interval of the pulse signal.

The present invention provides a ground three-dimensional laser scanning point cloud and image fusion and registration method, and the limitation of the scanning of the ground three-dimensional laser scanning technology is overcome. The point cloud data obtained by ground three-dimensional laser scanning often comprises various areas which can not be measured, point cloud holes are generated, and thus local area information of a scanned object is lost. The holes cause that a model can not realize visualization correctly, and model subsequent processing is influenced too. For the above problems, the invention aims to solve the problems through the following technical scheme that an SIFT image is used to carry out mosaic processing of collected image photos by means of an algorithm to obtain a panoramic image, the intensive reconstruction is carried out through the panoramic image to obtain the 3D point cloud data generated by the image photo, and an iterative closest point algorithm (ICP) is used to realize the registration working of laser scanning point cloud and image data generation point cloud.

The invention provides a time-resolved extreme-low-light multispectral imaging system and method and belongs to the field of extreme-low-light multispectral imaging, wherein the system is triggered through a trigger to ensure the time-resolved property, and the multispectral high-resolution two-dimensional color imaging for extreme-low-light objects is realized by combining a triggering technology of the trigger, the compressive sensing theory, a DLP (digital light processing) technology, a spectrum-dividing technology, an optical fiber coupling technology and a photon counter linear array detection technology; the system is composed of an extreme-low-light light source or self-luminous organisms, the trigger, an optical filter, an optical imaging system, a DMD (digital mirror device) micromirror array, an optical focussing and collecting system, a spectrophotometer, a photo counter lineary array consisting of a plurality of photon counters with different wavelengths, a driving control module and an optimization algorithm module; the sensitivity of the system can reach the level of a photon, and can be widely applied to the fields of self-luminous organism detection, medical treatment imaging, data acquisition, communication, astronomy, military, hyperspectral imaging, measurement in quantum mechanics and the like.

The present invention discloses an integrated support vector machine mixed intelligent diagnosis method of machine failure. Said method includes the following steps: respectively adopting and lifting small wave packet, utilizing frequency band and empirical mode decomposition process to decompose vibration signal according to the eigen mode component and extract time domain statistical character of decomposed signal to form total characteristic set; providing characteristic distance evaluation technique and characteristic evaluation index; utilizing said characteristic evaluation index to select most sensitive characteristic set from the total characteristic set; using said most sensitive characteristic set as diagnosis characteristics and creating integrated support vector machine mixed intelligent diagnosis model so as to implement intelligent diagnosis of machine failure state.

The formation of metal traces in the border areas of a touch sensor panel to provide improved reliability, better noise rejection, and lower manufacturing costs is disclosed. The metal traces can be coupled to rows on the touch sensor panel in an interleaved manner, so that any two successive rows can be coupled to metal traces in border areas on opposite sides of the touch sensor panel. In addition, by utilizing the full width available in the border areas in some embodiments, the metal traces can be formed from higher resistivity metal, which can reduce manufacturing costs and improve trace reliability. The wider traces can also provide better noise immunity from noise sources such as an LCD by providing a larger fixed-potential surface area and by more effectively coupling the drive lines to the fixed potential.

Disclosed is a variable power dimming control circuit for driving and linearly adjusting the illumination brightness of a plurality of light emitting diodes (LEDs), and the circuit includes a dimming stabilization unit and a control unit. The control unit is provided for detecting an input current of a circuit, and the dimming stabilization unit is driven for outputting a holding current when the input power is smaller than a standard, and stopping the output the holding current when the input power is greater than the standard. When the LEDs are dimmed to low luminance, a chip controls the operation of the dimming stabilization unit to assure the stability of the dimming operation of a TRIAC. When the LEDs are adjusted to high or full brightness, the chip stops the output of the holding current to reduce unnecessary power consumption and enhance the overall circuit performance effectively.

The invention provides a continuous voice recognition method based on a deep long and short term memory recurrent neural network. According to the method, a noisy voice signal and an original pure voice signal are used as training samples, two deep long and short term memory recurrent neural network modules with the same structure are established, the difference between each deep long and short term memory layer of one module and the corresponding deep long and short term memory layer of the other module is obtained through cross entropy calculation, a cross entropy parameter is updated through a linear circulation projection layer, and a deep long and short term memory recurrent neural network acoustic model robust to environmental noise is finally obtained. By the adoption of the method, by establishing the deep long and short term memory recurrent neural network acoustic model, the voice recognition rate of the noisy voice signal is improved, the problem that because the scale of deep neutral network parameters is large, most of calculation work needs to be completed on a GPU is avoided, and the method has the advantages that the calculation complexity is low, and the convergence rate is high. The continuous voice recognition method based on the deep long and short term memory recurrent neural network can be widely applied to the multiple machine learning fields, such as speaker recognition, key word recognition and human-machine interaction, involving voice recognition.

The invention discloses a method and a system for voiceprint recognition based on vector quantization, which have high recognition performance and noise immunity, are effective in recognition, require few modeling data, and are quick in judgment speed and low in complexity. The method includes steps: acquiring audio signals; preprocessing the audio signals; extracting audio signal characteristic parameters by using MFCC (mel-frequency cepstrum coefficient) parameters, wherein the order of the MFCC ranges from 12 to 16; template training, namely using the LBG (linde, buzo and gray) clustering algorithm to set up a codebook for each speaker and store the codebooks in an audio data base to be used as the audio templates of the speakers; voiceprint recognizing, namely comparing acquired characteristic parameters of the audio signals to be recognized with the speaker audio templates set up in the audio data base and judging according to weighting Euclidean distance measure, and if the corresponding speaker template enables the audio characteristic vector X of a speaker to be recognized to have the minimum average distance measure, the speaker is supposed to be recognized.