56results about How to "Out noise" patented technology

A mobile terminal is presented, having capability to determine when a user should be stimulated toward an awake state. The terminal includes a receiver for receiving a sleep descriptor signal indicative of at least one sleep characteristic of the user, and also includes a signal processing module for processing the sleep descriptor signal. The signal processing module is arranged to provide, at least partly in response to the sleep descriptor signal, a stimulation signal indicative that the user should be stimulated. The mobile terminal is also usable for communication by the user in the awake state. This invention further includes a method, system, and monitor to be used with the mobile terminal in order to stimulate the user toward an awake state.

To achieve vibration-dependent noise reduction by the use of a microphone to pick up an audio signal and a vibration sensor. The microphone apparatus according to a preferred embodiment of the present invention is one having one or more microphone, one or more sensor, noise extraction means for extracting the noise bandwidth section from the output signal of the sensor, an adaptive filter coordinated with the microphone for receiving the output signal of the noise extraction means as the reference input signal, and an adder for subtracting the output signal of the adaptive filter from the output signal of the microphone, wherein the vibration detection directions of the microphone and the sensor match, and so do the output polarities of the vibration signal.

A two-way communication system particularly valuable for noisy environments where a user has a tooth bone conduction microphone in his mouth normally controlled by a tongue switch that transmits an electrical signal representing speech to a retransmit module usually worn on the user's body or mounted on an earphone or headset where the speech electrical signal is retransmitted to a second user usually by RF. The retransmit module can also receive signals from the second user and transmit them to the earphone or headset thus providing two-way communication.

A two-way communication system particularly valuable for noisy environments where a user has a tooth bone conduction microphone in his mouth normally controlled by a tongue switch that transmits an electrical signal representing speech to a retransmit module usually worn on the user's body or mounted on an earphone or headset where the speech electrical signal is retransmitted to a second user usually by RF. The retransmit module can also receive signals from the second user and transmit them to the earphone or headset thus providing two-way communication.

A mobile terminal is presented, having capability to determine when a user should be stimulated toward an awake state. The terminal includes a receiver for receiving a sleep descriptor signal indicative of at least one sleep characteristic of the user, and also includes a signal processing module for processing the sleep descriptor signal. The signal processing module is arranged to provide, at least partly in response to the sleep descriptor signal, a stimulation signal indicative that the user should be stimulated. The mobile terminal is also usable for communication by the user in the awake state. This invention further includes a method, system, and monitor to be used with the mobile terminal in order to stimulate the user toward an awake state.

A method and system for cancelling body movement effect for non-contact vital sign detection is described. The method begins with sending on a first electromagnetic wave transceiver a first electromagnetic signal with a first frequency to a first side of a body, such as a person or animal. Simultaneously using a second electromagnetic wave transceiver a second electromagnetic signal is sent with a second frequency to a second side of a body, wherein the first frequency and the second frequency are different frequencies. A first reflected electromagnetic signal reflected back in response to the first electromagnetic wave on the first transceiver is received and a first baseband complex signal is extracted. Likewise a second reflected electromagnetic signal reflected back in response to the second electromagnetic wave on the second transceiver is received and a second baseband complex signal is extracted. The first baseband complex signal is mathematically combined with the second baseband complex signal to cancel out a Doppler frequency drift therebetween to yield a periodic Doppler phase effect.

System and method for assessing objects such as vehicles, wherein a value estimation model is determined for vehicles on a basis of data representing characteristics of a plurality of vehicles, the model including a plurality of parameters to be determined and a plurality of explanatory variables associated with the parameters and defined on the basis of the characteristics, wherein age and / or mileage of vehicles is configured to affect the value estimate, the value estimate being a dependent variable in the model, and wherein a unit for producing a value estimate for a target vehicle on the basis of the model is configured to perform an action (508, 510, 512, 513, 518, 524, 604, 710) to facilitate comparison of the value estimate to other valuation information related to the particular target vehicle or some other vehicle.

Control systems and methods that provide a high degree of vertical measurement accuracy for a body in motion are disclosed. The systems employ an inertial sensor system for vertical measurement and a Global Navigation Satellite System that includes multipath reduction or attenuation to provide corrected vertical information for a moving body to the inertial sensor system. The combination of these systems enables the maintenance of an accurate vertical position for said body.

A calibration device is presented for use in a surveillance system for event detection. The calibration device comprises an input utility for receiving data indicative of an image stream of a scene in a region of interest acquired by at least one imager and generating image data indicative thereof, and a data processor utility configured and operable for processing and analyzing said image data, and determining at least one calibration parameter including at least one of the imager related parameter and the scene related parameter.

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.

An improved sigma-delta converter includes a post converter filter that receives a digital data stream. The data stream has a digital amplitude and contains quantization noise. Quantization noise is larger for digital amplitudes in a second larger-amplitude range than in a first smaller-amplitude range. The post converter filter has a higher cut-off frequency when the digital amplitude is in the first amplitude range and a lower cut-off frequency when the digital amplitude is in the second amplitude range. The post converter filter therefore filters out a portion of the larger quantization noise when the digital amplitude is larger. Quanitization noise is reduced without limiting the input signal voltage range that can be digitized.

Mass tagging methods are provided that lead to mass spectrometer detection sensitivities and molecular discriminations that are improved over other methods. In particular the methods are useful for discriminating tagged molecules and fragments of molecules from chemical noise in the mass spectrum. These mass tagging methods are useful for oligomer sequencing, determining the relative abundances of molecules from different samples, and identifying individual molecules or chemical processing steps in combinatorial chemical libraries. The methods provided are useful for the simultaneous analysis of multiple molecules and reaction mixtures by mass spectrometric methods.

A method and system for cancelling body movement effect for non-contact vital sign detection is described. The method begins with sending on a first electromagnetic wave transceiver a first electromagnetic signal with a first frequency to a first side of a body, such as a person or animal. Simultaneously using a second electromagnetic wave transceiver a second electromagnetic signal is sent with a second frequency to a second side of a body, wherein the first frequency and the second frequency are different frequencies. A first reflected electromagnetic signal reflected back in response to the first electromagnetic wave on the first transceiver is received and a first baseband complex signal is extracted. Likewise a second reflected electromagnetic signal reflected back in response to the second electromagnetic wave on the second transceiver is received and a second baseband complex signal is extracted. The first baseband complex signal is mathematically combined with the second baseband complex signal to cancel out a Doppler frequency drift therebetween to yield a periodic Doppler phase effect.

The present invention relates to a novel means to use a fundamental model of the parts of the brain that are dysfunctional in Parkinson's disease, and related dynamical diseases of the brain, as part of a feedback control system to modulate the signs and symptoms of disease. Fundamental computational models that embody our knowledge of the anatomy, neurons, and dynamics of the parts of the brain we wish to control, and use those models to reconstruct what is inaccessible to our measurements. Through emulation the controller synchronizes to the parts of the brain we wish to observe and track. By passing simultaneous control pulses to both the model controller, as well as the brain, we control both the model and the brain. The detailed framework to embed fundamental models of the brain within a control scheme to control symptoms of Parkinsons and related dynamical diseases of the brain are disclosed.

An airflow metering device, including a conventional airflow sensing device signally connected to a signal processor is shown, having an input flow signal correlatable to a magnitude of mass air flowing past the airflow sensing device. The signal processor is operable to determine a flow correction factor based upon a direction and magnitude of the mass air flowing past the airflow sensing device. The output of the airflow metering device is an accurate measure of airflow, and comprises the input flow signal of the airflow sensing device adjusted by the flow correction factor determined by the signal processor.

The present invention relates to a novel means to use a fundamental model of the parts of the brain that are dysfunctional in Parkinson's disease, and related dynamical diseases of the brain, as part of a feedback control system to modulate the signs and symptoms of disease. Fundamental computational models that embody our knowledge of the anatomy, neurons, and dynamics of the parts of the brain we wish to control, and use those models to reconstruct what is inaccessible to our measurements. Through emulation the controller synchronizes to the parts of the brain we wish to observe and track. By passing simultaneous control pulses to both the model controller, as well as the brain, we control both the model and the brain. The detailed framework to embed fundamental models of the brain within a control scheme to control symptoms of Parkinsons and related dynamical diseases of the brain are disclosed.

A dynamic noise filter is disclosed, which includes a noise estimation circuit, a TNR filtering circuit, a SNR filtering circuit, a blending circuit and a motion estimation circuit. By performing noise estimation for each image, the invention dynamically adjusts the strengths of the TNR filter and the SNR filter as well as a blending ratio between the outputs of the TNR filter and the SNR filter, thereby obtaining the best image quality.

A dynamic noise filter is disclosed, which includes a noise estimation circuit, a TNR filtering circuit, a SNR filtering circuit, a blending circuit and a motion estimation circuit. By performing noise estimation for each image, the invention dynamically adjusts the strengths of the TNR filter and the SNR filter as well as a blending ratio between the outputs of the TNR filter and the SNR filter, thereby obtaining the best image quality.

A signal processing circuit 4 includes a clock circuit 24 which generates a clock signal which has been subjected to spread spectrum modulation and supplies the clock signal to a photoelectric conversion element; a AD converter 15 which performs AD conversion on an image signal obtained by the photoelectric conversion element; a noise detecting circuit 21 which detects a noise amplitude of a noise signal that is caused by the spread spectrum modulation of the clock signal and is included in the image signal which has been AD converted; and an analog correction circuit 23 and an digital correction circuit 22 that calculate a correction factor based on the noise amplitude, generate a correction signal by multiplying the digital modulation signal by the correction factor, and superimpose the correction signal onto the image signal at an input side or an output side of the AD converter.

Method of noise reduction in an image includes capturing the image including a plurality of pixels each corresponding to a color via an image sensor, selecting a target pixel of the plurality of pixels, generating a noise threshold value associated to the target pixel according to a noise variation function related to noise distribution range of the image sensor, calculating a difference value between the target pixel and a neighbor pixel having the same color with the target pixel, comparing the difference value and the noise threshold value to determine whether the neighbor pixel is a noise to the target pixel, and when determining the neighbor pixel is a noise to the target pixel, performing a smooth operation to lower the noise of the target pixel.

A dispersing Fourier Transform interferometer (DFTS) includes a Fourier Transform Spectrometer having an input for receiving a source light and an output, and a dispersive element having an input coupled to the Fourier Transform Spectrometer output and an output for providing the resulting multiple narrowband interferogram outputs of different wavelengths representative of the source light input. A processor applies a sparse sampling algorithm for determining the best fit between a set of model interferograms and the set of data interferograms. The model interferogram is inferred as specified at a discrete set of lags, a difference is determined between the model interferogram and the data interferogram, and an optimization method determines the model interferogram best matched to the data interferogram. The DFTS interferometer improves the sensitivity of a standard FTS by including a dispersive element, increasing the SNR by a factor of (Rg)1 / 2 as compared to the FTS, where Rg is the resolving power of the conventional dispersing spectrometer (i.e. Rg=λ / Δλ).

An airflow metering device, including a conventional airflow sensing device signally connected to a signal processor is shown, having an input flow signal correlatable to a magnitude of mass air flowing past the airflow sensing device. The signal processor is operable to determine a flow correction factor based upon a direction and magnitude of the mass air flowing past the airflow sensing device. The output of the airflow metering device is an accurate measure of airflow, and comprises the input flow signal of the airflow sensing device adjusted by the flow correction factor determined by the signal processor.

This invention provides a swing-style and high signal-to-noise ratio low coherence interference demodulation devices and the corresponding demodulation method for the measurement of displacement. In the displacement sensing method, the optical path difference, which is built by the light reflections from the reference surface and the test object, varies with the displacement of the test object. When the reflected signal lights is sent to a low coherence polarization interference system, the birefringent wedge formulates a spatial distribution of optical path difference, from which the optical path difference of the reflection signals thus can be demodulated. In the displacement scanning method, the reflected signal lights are collimated and transferred to a time scanner consisting of a rotating mirror and a f-θ lens, to perform thin light beam scanning along the longitudinal direction of a birefringent wedge. This innovation provides two demodulation devices that are both applicable for the measurement methods. One uses a linear camera array and the other uses a linear micropore array and single PIN photoelectric detector, to receive interference fringes. Since the energy of the scanning beam is highly concentrated, the signal-to-noise ratio for low coherence interference signal is significantly higher than that of the traditional devices. In addition, the accuracy of these demodulation devices is significantly improved, because the linear camera array and the linear micropore array maintain a consistent spatial position of the received light spot.

A data recovery system and method is disclosed. Said data recovery system comprises a maximum-likelihood detector, a non-maximum likelihood detector, a decision unit, and a selecting unit. The maximum-likelihood detector transforms a digital signal into a first binary signal. The non-maximum likelihood detector transforms the digital signal into a second binary signal. The decision unit detects a difference between the first binary signal and the second binary signal, and outputs a selecting signal based on the difference. The selecting unit coupled to the maximum-likelihood detector, the non-maximum likelihood detector, and the decision unit selectively outputs the first binary signal or the second binary signal based on the selecting signal.

A piezoelectric speaker driving device includes a driving amplification unit, a signal tuning unit, and a piezoelectric speaker; wherein, the driving amplification unit is configured to amplify a signal source, and transmit an amplified signal to the signal tuning unit; the signal tuning unit is configured to filter the amplified signal to filter out a high-frequency noise, and regulate an impedance characteristic of the piezoelectric ceramic to increase a load impedance of a high-frequency part of the driving circuit so as to reduce the driving current of the high-frequency part, and transmit the regulated driving signal to the piezoelectric speaker to drive the piezoelectric speaker. Wherein, the signal tuning unit may include a low-pass filtering circuit and a regulation impedance.

If external magnetic field(s) (external noise) is / are present, equivalent noise component(s) might be produced at both receiving coil(s) and dummy coil(s), and respective noise components from receiving coil(s) and dummy coil(s) might be made to at least partially cancel out one another at differential amplifier(s), substantially only signal component(s) due to magnetic field(s) from transmitting coil(s) being applied by way of differential amplifier(s) to comparator(s), where same is / are binarized and is / are moreover output by way of output control circuitry and respective transistor(s).

Provided is circuitry for biasing a transistor amplifier with a DC-voltage signal, the transistor amplifier having a first input terminal, a second input terminal, and an output terminal coupled to the second input terminal. The circuitry includes a sensor capacitor connected to the first input terminal and an impedance transistor arranged in parallel with said capacitor, the transistor and capacitor forming a low-pass filter. The circuitry also includes a biasing circuit configured to controllably vary a DC-voltage signal for operatively biasing the amplifier, the biasing circuit including a cascaded current arrangement configured to subdivide a reference current into smaller currents for selectively generating voltage potentials for biasing the impedance transistor to adjustably filter a noise component of the DC-voltage signal via the low-pass filter before the DC-voltage signal is provided to the first input terminal.

A method for reconstruction of object attenuation density (S(x,y,z)) from X-ray projection image data values (V(pq)) comprises the steps of: representing (11) the object attenuation density by a sum of predetermined continuous harmonics (Hijk(x,y,z)) with unknown coefficients (aijk); relating (12) each of the projection image data values to an integral (S(pq)) of the object attenuation density, and thus to a corresponding sum of sums (aijk*Hijk(pq)) of the predetermined continuous harmonics with unknown coefficients; determining (13) the unknown coefficients (aijk) from the above relation; and reconstructing (14) the object attenuation density by said sum of predetermined continuous harmonics with said determined coefficients. The spatial three-dimensional object attenuation density is found as a continuous function with uniform resolution over all its volume and is shown as a solid three-dimensional body, which can be cut in arbitrary way and shown in continuous motion.