93 results about "Noise strength" patented technology

This invention relates to a phone end point test method based on energies and harmonic waves including the following steps: pre-processing digitalized sound signals and storing them in a section of buffer storage, shifting and updating the buffer storage and regulating the threshold value every time inputting a signal to judge the Tstart based on the energy, then searching for signals with sonant harmonic wave character from the buffer storage, if sonant is found, then the accurate Tstart is searched, on the contrary, the phone Tstart is searched based on the energy then to search for the phone terminal point according to the signal energy. Advantages: this invention can adjust accuracy based on noise strength so it is adaptive to the S/N ratio of input signals and energy test sphere is rather wide so phones with weak energy will not be omitted.

The invention discloses an air conditioner outdoor fan starting method. The air conditioner outdoor fan starting method comprises the following steps of initializing, main controlling and noise feeding back. In the initializing step, an air conditioner is powered on to be started, a main control chip gives an outdoor fan starting instruction, and an EEPROM provides a PWM voltage with the initial duty ratio value being a to an outdoor fan. In the main controlling step, the outdoor fan feeds back the actual rotation speed to the main control chip, the main control chip compares the actual rotation speed with a target rotation speed, and if the actual rotation speed is lower than the target rotation speed, the duty ratio value of the PWM is increased according to the time interval T until the actual rotation speed is equal to the target rotation speed. In the noise feeding back process, noise signals are collected regularly, the strength of the noise signals is compared with target noise strength and if the noise strength is higher than the target strength, the value of the time interval T is increased. According to the air conditioner outdoor fan starting method, the noise strength signal is collected and fed back to a control system to be used as a parameter for outdoor fan starting control, the duty ratio of the fan starting voltage is adjusted in an adaptive mode, the starting noise is effectively reduced, and the matching and debugging workload of a fan system is also reduced.

The invention relates to an electrocardio signal quality determination indication method and system. The method comprises collecting human body electrocardio signals through electrodes to obtain electrocardio waveforms of corresponding leads of all physiological electrodes and the noise type and noise strength; determining the signal quality of each lead according to the noise strength of each lead, and setting sub-lead signal quality zone bits; determining the main lead signal quality according to the sub-lead signal quality zone bits and setting the main lead signal quality zone bit; setting signal quality color indication zone bits according to the main lead signal quality zone bit and setting indication signal quality signal lamps. By means of the method and the system, users can determine whether the collected electrocardio signal quality is good, and accordingly, the work efficiency of electrocardiographic examination is improved.

Provided is a steady motion visual evoked potential brain computer interface method based on stochastic resonance enhancement. First, an electrode is arranged on the head of a user, a detected electroencephalogram signal is sent to a computer, then movement stimulating units are presented in front of the user through a computer screen at the same time, the movement stimulating units are shielded by two-dimensional noise points obeying Gaussian distribution, the noise point update frequency is synchronized with the screen refresh rate, and the noise strength is represented by Gaussian distribution standard deviation. After the movement stimulating units are formed, the user watches any one of the movement stimulating units, a computer acquires a stimulation starting flag bit and a stimulation finishing flag bit, a computer signal is acquired through a test electrode, the significance probabilities of different stimulation targets are calculated, the targets are judged and indicated through the screen, and then the next target identification is conducted. The steady motion visual evoked potential brain computer interface method based on stochastic resonance enhancement can remarkably enhance brain response strength of the user, improve precision and efficiency of an existing brain computer interface, and innovatively improve practical level of the brain computer interface technology.

A plurality of data streams, which are coded by a convolution code and where coding rates and modulation systems are set respectively, and multiplexed in time division so that multiplex data are composed. A signal-to-noise ratio monitor measures the strength of the noise included in the multiplex data. A comparator outputs a post signal when a comparison indicates that the measured noise strength is equal to greater than a preset value. A multiplex control signal generator inputs an initialization signal into a Viterbi decoder at a timing at which decoding of individual data streams is started based on the received post signal. The Viterbi decoder initializes the calculated path metric upon receipt of the initialization signal.

A visual ability improvement device installed in a vehicle includes a noise generator, a surrounding situation detector, a driver status detector, a vehicle status detector, an operation switch, and a noise output device. A controller of the noise generator determines an optimum strength based on the surrounding situation from the surrounding situation detector, the driver's status from the driver status detector, the vehicle's status from the vehicle status detector, and the correspondence of the optimum representative noise to the above situation and statuses from the correspondence memory. Then the controller generates a noise with the determined the optimum representative noise strength, and outputs to the noise output device such as passenger compartment light a control signal which depends on the generated noise.

The invention provides a Hartmann wavefront sensor mode wavefront restoration method based on deep learning. An image collected by a focal plane camera of the Hartmann wavefront sensor is used as input, a trained artificial neural network is adopted for operating the image, and a modal coefficient of the Hartmann wavefront sensor before entering of optical wave is obtained directly. Compared withthe traditional wavefront restoration method based on a subaperture average slope, the method of the invention can process more information including subaperture spot position and spot pattern in thefocal plane camera image, and can more effectively reduce errors of mode confusion and mode coupling caused by relying on average slope alone. The method can restore a higher-order modal coefficient with higher accuracy under the same measurement noise strength of the focal plane camera.

The invention provides a hearing-aid denoising device and method allowable for adjusting denoising degree. The hearing-aid denoising device allowable for adjusting denoising degree comprises an spectrum estimation module, a spectrum mean value module, an endpoint detection module, a Wiener filtering module, a denoising degree setting module and an inverse fast fourier transform module, wherein the endpoint detection module is used for determining whether a current frame is a voice frame, a sub-voice frame, a sub-noise frame or a noise frame and correspondingly setting marks; the Wiener filtering module is used for performing Wiener filtering operation and obtaining Wiener filtering coefficient; the denoising degree setting module is used for determining noise reduction degree according to the marks of the endpoint detection module and the Wiener filtering coefficient of the Wiener filtering module; the inverse fast fourier transform module is used for converting a frequency domain of a processed signal to a time domain so as to obtain a denoised signal. By means of the hearing-aid denoising device and method allowable for adjusting denoising degree, a user can control noise strength suppression on the basis of independent choice, and thereby, operating flexibility and comfortable experience levels of the user can be improved.

The invention provides a three-stable state stochastic resonance detection method for weak signals in color noise and belongs to the field of signal processing. A fourth-order Runge-Kutta method and aself-adaptive optimizing algorithm are utilized, SNR gain is selected as an measurement index, influence on system SNR gain by three-stable system parameters a, b and c and D is studied, and then a high frequency weak signal detection method and square wave detection are disclosed. Finally, the signal detection is realized. Experiments prove that the SNR gain change in a non-linear manner along with a, increases first and decreases then and finally approaches zero gradually; increases first and decreases then along with parameter b; increases first and decreases then along with parameter c ina single peak change form; and, being indicative of pulse characteristics, increases rapidly first along with noise strength D. Therefore, low frequency weak signals can be detected well. At the sametime, the method achieves the same effect when being applied to high frequency weak signal detection with parameter compensation. The method studies a more universal and generalized stochastic resonance system and significant to weak signal detection in engineering application.

A signal quality estimation and control system for controlling a signal having noise. The system may include a signal strength determination system having an input configured to receive the signal and an output configured to output information indicative of the strength of the signal, a noise strength determination system having an input configured to receive the signal and an output configured to output information indicative of the strength of the noise in the signal, and a signal quality evaluation system. The signal quality evaluation system may have an input configured to receive the output of the signal strength determination system, an input configured to receive the output from the noise strength determination system, and an output configured to output information indicative of the quality of the signal based on the output from the signal strength determination system and the output from the noise strength determination system. A signal control system may be include that has an input configured to receive the output from the signal quality evaluation system and to control a switching function relating to the signal based on the output from the signal quality evaluation system.

An apparatus for detecting positions of wheels of a vehicle is provided. In the apparatus, a triggering signal is transmitted from the body side to each transceiver mounted at each wheel. In each transceiver, the strength of the received triggering signal is measured and formatted into a frame of data to be transmitted to a receiver mounted to the vehicle body. The strength of the triggering signal is used to detect wheel positions by determining that each transducer is disposed at which wheel. The receiver determines if there is a reply of the flame of data containing the strength when the triggering device transmits the triggering signal. When no replay comes from the transceiver, the strength of noise is measured in the transceiver in response to a command from the receiver. When the noise strength is less than a threshold, the receiver commands an alarm member to issue alarm.

A system for hiding secret data in halftone images is disclosed. The system includes an image input module, a halftoning processing module and an image output module. The image input module reads an original image data and a secret image data. The halftoning processing module is coupled to the image input module and receives the original image data and the secret image data, performs a first error diffusion process to the original image to generate a first halftone image and performs a second error diffusion process to the original image data and the secret image data to generate a second halftone image. The image output image module is coupled to the halftoning processing module and outputs the first halftone image and the second halftone image, wherein the second error diffusion process comprises adding or subtracting a variable noise strength to or from each pixel of the secret image.

The invention discloses a spectral measurement system and a measurement method. The system comprises a micro spectrometer for acquiring spectrum of a sample to be measured through an acquiring light path and performing filtering and light splitting through a filter, a standard reflecting plate for reflecting visible light spectrum energy to obtain initial spectrum information, and a mobile terminal which is provided with an LED lamp and a camera and is used for lighting the sample to be measured, obtaining the initial reference spectrum intensity, acquiring dark noise strength of a camera and the spectrum intensity of the sample to be measured, and then obtaining the spectrum reflectivity of the sample to be measured according to the initial reference spectrum intensity, the dark noise strength, and the spectrum intensity of the sample to be measured. With the adoption of the system, the spectrum data with the same standard can be acquired under any different acquiring environments, so that the measuring adaptability is improved, and moreover, the spectrum data accuracy and stability can be effectively ensured.

Described are a method, system, and mobile communication device for sharing a signal received by an antenna. A signal, such as a signal sent from a global positioning system, is received by the antenna. An amplifier is then used to generate an amplified signal. The amplifier is located an attenuation distance away from a noise source. The amplified signal is divided into a first divided signal and a second divided signal, which are respectively transmitted to first and second signal utilization modules. While being transmitted from the antenna to the first and second signal utilization modules, the signal suffers propagation losses. While locating the amplifier remote from the noise source decreases noise strength, which positively contributes to signal-to-noise ratio, it also increases propagation losses, which negatively contributes to signal-to-noise ratio. The method, system and mobile communication device are designed such that this positive contribution exceeds this negative contribution, resulting in an overall benefit to signal-to-noise ratio. Also beneficially, sharing the signal allows one antenna to be used for both signal utilization modules, lowering manufacturing costs and saving space in the mobile communication device.

The invention provides a face approaching action recognition method based on a capacitive touch screen. Whether the face approaching action exists or not can be judged by a manner that a detecting inductor connected with the capacitive touch screen is utilized to detect noise changes and noise strength on the capacitive touch screen. Compared with a common scheme adopting an infrared sensor for inducting, the face approaching action recognition method has the advantages that the face approaching action is judged through a TP capacitive far field coupling, in terms of the structure, the number of IR sensing circuits on a mainboard can be reduced, and special printing ink is not needed by a glass cover plate. The face approaching action recognition method is suitable for a mutual capacitance type touch screen and a self-capacitance type touch screen, the application range is wide, and application prospect is good.

The invention discloses a de-noising method and a de-noising device of a video sequence. The de-noising method comprises the following steps of: firstly, decomposing the video sequence into a low-rank part and a sparse part; decomposing the sparse part into a video self-characteristic part and a noise part; and determining the de-noised video sequence according to the low-rank part and the video self-characteristic part. The technical scheme provided by the embodiment can effectively remove noises in the video sequence; and a process of removing the noises in the video sequence does not need to accurately estimate the noise strength, so that the problem that the noise removing effect is not ideal, caused by estimation errors of the noise strength, is solved.

The invention provides an intelligent telephone repeater capable of eliminating feedback howling, inhibiting disturbance noise and enabling receiving and transmitting signals simultaneously asymmetric amplification belonging to the communication appliance field. The repeater comprises a receiving end and a transmitting end. A repeater transmitting level sampling circuit and a receiving level sampling circuit are accessed to an asymmetry function intelligent control module circuit through a level comparing module, connected to the telephone main machine transmitting end through a transmitting channel amplifying circuit and feedbacked to the transmitting level sampling circuit; the asymmetry function intelligent control module circuit is connected to a telephone handle earphone through a receiving channel amplifying circuit and a power amplifying circuit and feedbacked to the receiving level sampling circuit. The invention completely eliminates the singing and howling in the communication, enables the amplification of receiving channel to vary from 1 to 200 and that of the transmitting channel corresponding from 100 to 1. The invention automatically inhibits briefness sudden type and constant stable noise, and automatically changes the telephone to be a direct connection state when the noise strength is too large.