501 results about "Noise threshold" patented technology

A system, method and wireless earpieces for managing power utilized by a pair of wireless earpieces. Ambient light conditions and noise levels in an environment of the pair of wireless earpieces are determined. The low power settings are activated for the pair of wireless earpieces in response to determining the ambient light conditions are below a light threshold or the noise levels are below a noise threshold; signal activity is below an activity threshold.

A method and apparatus for dynamically adjusting receiver sensitivity over an existing phone line home network is disclosed. The method includes what is referred to Continuous Carrier Detect (CCD) adaptation process implemented by a state machine to quickly adapt to the on the fly wire DC offset in a matter of a few milliseconds for achieving optimal receiver sensitivity. According to one embodiment, a noise threshold level is dynamically generated for detecting noises in incoming data stream from the existing phone line home network.

The invention provides a baseline updating method. The baseline updating method includes: detecting a first frame capacitance value; setting a baseline according to the first frame capacitance value; detecting a current capacitance value of a touch screen, and calculating a difference value between the capacitance value and the baseline; when the difference value between the capacitance value and the baseline is smaller than a negative noise threshold, starting a first timer for timing; if the difference values within a first time range are smaller than the negative noise threshold, updating the baseline according to the capacitance value to activate an extreme value recovery function of the baseline; judging whether the touch screen is touched or not according to the difference value between the current capacitance value and the updated baseline; and if judgment shows that the touch screen is touched, deactivating the extreme value recovery function of the baseline to enable the baseline not to be updated when the difference value between the current capacitance value and the updated baseline is smaller than the negative noise threshold again. By the aid of the baseline updating method in the embodiment, the touch screen is applicable to various operating environments while the operating speed of the touch screen is unaffected, and a certain waterproof effect can be achieved.

An automatic peak selection method for multidimensional data that selects peaks from very noisy data such as two-dimensional liquid chromatography-mass spectrometry (LC-MS) data is described. Such data are characterized by non-normally distributed noise that varies in different dimensions. The method computes local noise thresholds for each one-dimensional component of the data. Each point has a local noise threshold applied to it for each dimension of the data set, and a point is selected as a candidate peak only if its value exceeds all of the applied local noise thresholds. Contiguous candidate peaks are clustered into actual peaks. The method is preferably implemented as part of a high-throughput platform for analyzing complex biological mixtures.

A method for determining the button state of a capacitive sensing screen determines the state of a button according to the capacitance value of the button, wherein if the capacitance value is greater than a touch threshold, the button is in a pushed-down state; if the capacitance value is less than a noise threshold, the button is in a non-pushed-down state; and the touch threshold is greater than or equal to the noise threshold. Each threshold comprises a baseline value and a deviation value, wherein the baseline value is based on the capacitance value acquired in advance of the button, and the deviation value is the maximum expected value of the capacitance before the button is pushed down. The baseline values are changed before each judgment, so influences of environmental factors can be incorporated into the touch threshold and the noise threshold to improve the accuracy of the judgment and the detection of the state of the button. In an optical embodiment, the baseline values areset to be the average value of a plurality of the latest capacitance values of the button, and the number of the samples for working out the average value is determined according to the latest measured capacitance of the button.

A method, system and computer-readable medium of filtering noise pixels and other extraneous data, including saturated fat tissue and air data in image data is provided. Examples of image data may include but are not limited to magnetic resonance imaging data and computed tomography data. The method includes receiving pixel count for each signal intensity value of the image data; determining a signal intensity value, I_peak, corresponding to a pixel count of a greatest number of pixels, N_peak; setting a noise threshold at a signal intensity value, I_noise, corresponding to a pixel count, N_I, such that N_I, is determined based on N_peak; and filtering from the image data one or more pixels with signal intensity values below the noise threshold. N_I, may be determined such that N_I=N_peak/3 or close to N_peak/3.

Adaptive sampling of pixels is disclosed. In some embodiments, an initial rendering of a scene that determines texture at each portion of the scene is generated, and a ray traced rendering of the scene is generated by tracing an initial sample of rays. The following steps are iterated until all portions of the ray traced rendering satisfy a noise threshold: subtract the initial rendering of the scene from the ray traced rendering of the scene to determine a measure of noise at each portion of the ray traced rendering and trace another sample of rays in the ray traced rendering for each portion of the ray traced rendering that does not satisfy the noise threshold. The completed ray traced rendering is outputted. Different portions of the completed ray traced rendering are sampled with different numbers of samples of rays.

The present invention discloses a noise filtering method for a touch control display device. The noise filter method includes retrieving a plurality of touch signals, wherein the plurality of touch signals correspond to a plurality of touch points of the touch control display device, selecting a plurality of environmental sensing signals from the plurality of the touch signals according to a touch threshold value, calculating a peak-to-peak value of the plurality of the environmental sensing signals, comparing the peak-to-peak value with a noise threshold value to generate a comparison result, and determining a filtering coefficient according to the comparison result in order to perform a noise filtering procedure accordingly.

The utility model discloses a channel evaluation method and a device used for solving the problems in prior art of too complicated channel evaluation, big channel evaluation value error and the incapability of acquiring the maximum time delay and the root mean square time delay; and that the channel evaluation method only halts in the theory field and can not be applied in practice. The utility model comprises the steps: the channel evaluation value in the frequency domain is acquired through the pilot signal and the pilot symbol; the channel evaluation value in the frequency domain is transformed to the channel evaluation value in the time domain through the inverse Fourier transform; the noise threshold is settled based on the channel evaluation value in the time domain and the corresponding time delay value of the noise threshold is considered as the maximum time delay based on the negative exponential distribution characteristic of the multi-path power spectrum; the root mean square time delay is acquired based on the negative exponential distribution characteristic of the multi-path power spectrum and the noise threshold and the maximum time delay; and the channel evaluation value of the pilot sequence is acquired based on the maximum time delay and the root mean square time delay. The utility model can be used for evaluating the channel of the pilot frequency sequence.

A method and system applicable within a mobile transmission system for adaptively allocating a downlink data rate to an access terminal to compensate for channel fading. In accordance with the method of the present invention a downlink data rate selected in accordance with a determined signal-to-noise level, wherein the downlink data rate is associated with a specified signal-to-noise threshold to achieve a specified packet error rate. Next, a packet is transmitted to an access terminal at the selected downlink data rate. In response to successfully decoding the packet at the access terminal, the signal-to-noise threshold specified for the selected downlink data rate is decreased such that subsequent data rate selections are adaptively maximized. Responsive to a packet decoding error, the signal-to-noise threshold is abruptly increased to maintain the specified packet error rate.

The invention provides a system and a method for testing a signal of a detector. The system comprises a detector signal processing module, a pulse information collection module and a control module, wherein the detector signal processing module is used for outputting a digital pulse signal according to a comparative result of an analog signal output by the detector and a reference level threshold; the pulse information collection module is connected with an output end of the detector signal processing module and used for connecting the digital pulse signal; and the control module is connected with the detector signal processing module and the pulse information collection module respectively and used for determining the reference level threshold and testing a peak value and/or a noise threshold of an analog signal output by the detector according to a collection result of the digital pulse signal. The system is simple in structure, small in design difficulty and low in cost.

A plurality of Goertzel filters whose operating frequencies are distributed across the voice baseband are used to detect voice and control tones in a signal. Filters operating at frequencies of control tones and detecting that most of the signal energy occurs at those frequencies indicates presence of the control tones. At least three of the filters detecting that about 10% to 20% of the signal energy occurs at each of their operating frequencies indicate presence of voice. The total energy detected in the signal being below a noise threshold indicates presence of noise or silence.

The invention discloses an adjusting method and device for an air conditioner. The method comprises the steps that after the air conditioner enters a preset work mode, a sound source is detected through a sound source detecting device, and all detected sound source frequencies and corresponding real-time noise values are obtained; noise frequencies of air flow sounds and corresponding real-time noise values are extracted from the obtained sound source frequencies and the real-time noise values, and preset noise threshold values corresponding to the noise frequencies of the air flow sounds are determined; when the real-time noise values of the air flow sounds are smaller than or equal to the corresponding preset noise threshold values, whether the real-time noise values of the air flow sounds are larger than the corresponding standard noise values or not is judged; and when the real-time noise values of the air flow sounds are larger than the corresponding standard noise values, a stepping motor of the air conditioner is adjusted to adjust the air guide angle of an air guide plate. The noise in the running process of the air conditioner is lowered, and then the influence of the noise of the air conditioner on work and life of users is lowered.

The invention discloses a method for measuring and compensating the deficient image element in digital image outputted by image sensor, which includes following steps: at first, works out the difference of brightness between the current image element and the relative image elements in parallel and vertical directions; secondly, determines the efficient direction according to the absolute value of the two different values; works out the brightness average of relative image element in the direction, and the parameter Var; compares the Var and a preset noise threshold T; finally, compensates them according to the judging result. By using the invention, the memory and the control unit can be saved, and it can measure the deficiency image element which occurs after being sold and not recorded in the memory.

A method and apparatus for adaptively controlling the audio output (122) of a communication device (114) according to the noise characteristics of the receiver listening environment (119). An output volume for the communication device (114) is set by a user (e.g., listener 118). The communication device (114) can intermittently sample ambient noise (116) of its environment (119). A minimum signal to noise threshold can be established for audio output (122). A total adjustment for the audio output (122) is established based on the ambient noise (116), the user set output volume, and the minimum signal to noise threshold. The total adjustment is a product of a software volume adjustment (230) and a hardware gain adjustment (240). The software volume adjustment (230) and the hardware gain adjustment (240) is adaptively applied when the communication device (114) outputs audio (122).

Various embodiments of the present inventions are related to adaptive calibration of NPFIR filters in a data detector. For example, an apparatus for calibrating a noise predictive filter is disclosed, including a data detector operable to generate detected values for data sectors and having an embedded noise predictive finite impulse response filter. The apparatus also includes a comparator operable to determine whether a quality metric for a current one of the data sectors meets a noise threshold. The apparatus also includes a filter calibration circuit operable to adapt a number of filter coefficients for the noise predictive finite impulse response filter based on the detected values for the data sectors, and to omit the detected values for the current one of the data sectors from adaptation for one of the filter coefficients if the quality metric for the current one of the data sectors does not meet the noise threshold.

An image registrations includes determining a first binary descriptor of a first key point in a first image, determining a second binary descriptor of a second key point in a second image, determining a weighted Hamming distance between the first binary descriptor and the second binary descriptor, and registering the first key point with the second key point when the weighted Hamming distance is below a noise threshold. At least one element in the first or the second binary descriptor is a result of a comparison of a difference between intensities of at least two pixels of the first or the second image with a threshold. At least two weights of the weighted Hamming distance for comparing at least two elements of the first or the second binary descriptors are different.

A largest eigenvalue is determined among eigenvalues corresponding to a correlation matrix indicating correlations between a plurality of channels receiving incoming radar waves from an object that reflects a radar wave as a reference eigenvalue λ₁. A ratio Rλ_i (=10 log 10(λ_i/λ₁)) is calculated of each eigenvalue λ₂ to λ_N to the reference eigenvalue λ₁. Eigenvalues among the reference eigenvalue λ₁ and the eigenvalues λ₂ to λ_N of which the eigenvalue ratio Rλ_i is greater than a noise threshold TH are identified as eigenvalues in signal space. Eigenvalues of which the eigenvalue ratio Rλ_i is equal to the noise threshold TH or less are identified as eigenvalues in noise space. The number of eigenvalues identified as the eigenvalues in signal space is counted as the number of arrival signals.