93 results about "Noise spectral density" patented technology

A signalling method for controlling unnecessary power increases and call drop during discontinuous transmission (DTX) mode of a frame-based transmission system. The signalling method comprises the steps of (1) detecting, at a receiver end of the transmission system a status of a transmitted frame indicating one of two possible transmission modes including (a) when a gating-off of the traffic channel occurs, and (b) when no gating-off of traffic occurs and normal traffic is being transmitted, and (2) controlling a change in the receiver target bit energy to noise spectrum density ratio Eb/No in response to the detection step so that a receiver target Eb/No is increased only when the detecting step does not indicate a gating-off of traffic has occurred.

A method of characterizing the performance of the payload of a satellite in orbit is executed with the aid of a test ground station including first radio-frequency amplification means and a radio-frequency transmit ground antenna. The method includes a step of providing first amplification means that can be configured to generate at the input of the transmit ground antenna a wide-band test thermal noise the power spectral density of which can be adjusted to a test thermal noise reference power spectral density Dref so that the ratio of the test thermal noise spectral density received at the input of the transponder and that corresponds to it to the thermal noise floor spectral density generated by the satellite alone internally and the natural thermal noise of the Earth is greater than or equal to a first threshold Ds1 equal to 10 dB. An IOT system is configured to execute the method.

The invention discloses a waveform optimization method based on target cognition and transmitted power distribution, which mainly solves the problem that the current waveform optimization algorithm is not suitable for a broadband radar. The method comprises the following steps of: (1) building a waveform-optimized signal model of a cognitive radar of a broadband; (2) utilizing a single echo to estimate the power spectral density of a target; (3) calculating the transmitted power of a transmit signal being a linear frequency modulation signal to be used as a constrained initial value of the transmitted power; (4) constructing a cost function; (5) solving the cost function; (6) optimally setting the power spectral density of transmitted waveform corresponding to the transmitted power; (7) calculating the related coefficient of the estimated value and the true value of the power spectral density of the target corresponding to the optimized waveform; (8) and judging and outputting the power spectral density of the transmitted power and the transmitted waveform according to whether the related coefficient meets the requirements. According to the method, the transmitted waveform optimization and power distribution of a cognitive radar system of the broadband can be realized, and the efficiency and overall performance of the system are increased.

The present invention relates to a super continuum light source comprising a pump source arranged to emit light having a center wavelength λ_center arranged to provide pump pulse to a generator fibre, where the refractive index profile of the core is arranged to allow modal cleaning of the light is it propagates, such as via stimulated Raman scattering. An example of invention is the application of a relatively high power pump laser utilized to provide an optical super continuum with relatively high spectral density and/or good beam quality even though the pump laser may provide a beam with a high M².

A Wireless Regional Area Network (WRAN) receiver comprises a transceiver for communicating with a wireless network over one of a number of channels, and a signal detector for use in forming a supported channel list comprising those ones of the number of channels upon which an Advanced Television Systems Committee (ATSC) DTV (digital television) broadcast signal was not detected. The signal detector performs spectrum sensing as a function of power spectral density (PSD) and cyclic spectrum.

The invention relates to the technical field of speech processing and specifically provides a method and a device for estimating a noise power spectral density of a speech signal. The method comprisesthe following steps: extracting a time context window feature from a noise speech signal, inputting the time context window feature to a pre-trained speech existence probability estimator which outputs an estimated speech existence probability corresponding to a current time frame; correcting the estimated speech existence probability according to a Bayes rule to determine a speech existence probability; determining the noise power spectral density corresponding to the corresponding time frame based on the speech existence probability according to a recursive smoothing formula. Through the technical scheme of the invention, the estimation accuracy of the noise power spectral density is improved in the case of small computing resources, thereby being beneficial to effectively eliminating noise signals, minimizing distortion in the speech processing process and improving speech enhancement performance.

Data communication includes an estimate of packet error rate that is useful, for example, when there is insufficient data transmission to provide a direct measurement of packet error rate. At least one pilot channel output provides a basis to determine an estimated packet error rate. One example includes using a pilot channel ratio of an energy-per-chip to a noise spectrum density. Another example includes using a pilot symbol error rate from the pilot channel as the basis for determining the traffic channel packet error rate.

The invention discloses a dual-channel voice enhancement method based on noise power spectral density, and the method is characterized in that the method comprises the following steps: 1), carrying out the short-time Fourier transform of voice signals received by two channels; 2), constructing a cross-power spectrum reduction filter; 3), constructing a spectrum correction filter, and carrying outthe preliminary estimation of the power spectral density of ta noise signal; 4), carrying out the accurate estimation of noise in the noise-containing voice signals. The method can reduce the coherentnoise residual, can improve the inhibition of non-coherent noise, is high in transportability, and is very good in application prospect for small-size intelligent mobile equipment.

The invention provides a power control method and a power control device. The method comprises steps: information is determined to be transmitted on an unlicensed carrier; power control is carried out on the unlicensed carrier in at least one of the following manners: power control is carried out according to a power spectral density (PSD) based on a resource element (RE); the PSD based on the RB is adjusted, and power control is carried out according to the adjusted PSD; power control is carried out according to the PSD of actual data and the PSD of an occupying signal, wherein the actual data are data actually transmitted by a transmitting terminal and the occupying signal is a signal used for occupying a channel; power control is carried out according to a power offset; power control is carried out by means of adaptive adjustment or semi-static adjustment CCA detection of a threshold; and power control is carried out by means of controlling the range of values of at least one parameter related to power control. Thus, the problem that the power of the unlicensed carrier can not be controlled effectively in a related technology can be solved.

The invention discloses an anisotropy evaluation method for rock structural surface shear strength. The method comprises the following steps that: S1: obtaining the rock structural surface outline curve models of different shearing directions; S2: on the basis of the one-side PSD (Power Spectral Density)* of the rock structural surface, calculating the comprehensive power index Pf of each frequency ingredient which forms the rock structural surface for the roughness contribution of the rock structural surface; S3: calculating a corrected gradient mean square root Z2<*>; S4: on the basis of thecomprehensive power index Pf and the gradient mean square root Z2<*>, calculating the roughness parameter PZ of the rock structural surface; and S5: calculating the shear strength in different sheardirections of the rock structural surface. By use of the method, on the basis of the power spectral density, the contribution of each frequency ingredient which forms the rock structural surface for the roughness of the rock structural surface and the anisotropy characteristic of the roughness of the rock structural surface are analyzed, and therefore, the anisotropy of the shear strength of the rock structural surface can be more comprehensively subjected to quantitative evaluation.

Systems/methods for computing a power spectral density estimate for a noise signal. Where the noise signal appears in two channels (a single channel), n successive data acquisitions from the two channels (the single channel) are used to compute n respective cross (power) spectral densities, which are then averaged. The averaged cross (power) spectral density may then be smoothed in the spectral domain. The magnitude of the smoothed cross (power) spectral density comprises an estimate for the noise power spectral density. An effective number of independent averages may be computed based on the number n, the time-domain window applied to the acquired sample sets, the amount of overlap between successive sample sets, and the shape of the frequency-domain smoothing function. A statistical error bound (or uncertainty measure) may be determined for the power spectral density estimate based on the effective number of averages and the averaged single-channel and cross-channel spectral estimates.

The invention relates to a method for simulating the unsteady aerodynamic loads being exerted on the external structure of an aircraft, notably in the context of a simulation of the buffeting of a wing surface in an airflow. The method includes a step of measurement of pressure (410) at different points of a grid, a step of calculation of the spectral density at these points (420) followed by extrapolation/interpolation operations to calculate the missing measurements (430), a step of estimation of the pressure coherence (440) for each pair of points of the grid, a step of estimation of the interspectral pressure density (450) for these same pairs of points, from the coherence thus estimated, and a step of calculation of the aerodynamic loads (460) by summing the real part of the interspectral density for the area of the wing surface having a separation of the boundary layer.

The invention discloses an electrocardiosignal quality discrimination method based on a neural network model. The method comprises the steps that an independent and single-channel electrocardiosignal is converted into three feature values, namely, a QRS energy specific value, signal kurtosis and a base line energy specific value before learning through a technological means of solving an integral and a kurtosis coefficient through power spectral density, and then a discrimination model is accurately set up in an optimizing mode of gradient descent through an artificial neural network learning algorithm according to the feature values. The electrocardiosignal quality discrimination method is achieved by restoring a system model, and then whether the electrocardiosignal can be used for diagnosis or not is effectively discriminated.

Provided are a method for estimating a spectrum density of diffused noises. Also provided is a processor for implementing the method. The processor includes at least two sound receiving units and a spectrum density estimating unit for estimating spectrum density.

The invention discloses a filter at the front end of the outer part of a household appliance for improving the power spectral density of power line communication. The filter comprises a bleeder resistor R, common mode chokes Lf1 and Lf2, X capacitors C1, C2, C3 and C4, difference mode inductors L1 and L2, and high-voltage pulse absorbing capacitors C5, C6, C7 and C8, wherein the bleeder resistor R and the X capacitors C1, C2, C3 and C4 are connected between a null line and a live wire in parallel in sequence, two coils of the common mode chokes Lf1 are connected to a null line and a live wire between the capacitor C1 and the capacitor C2 in series respectively, two coils of the common mode chokes Lf2 are connected to a null line and a live wire between the capacitor C2 and the capacitor C3 in series respectively, the difference mode inductors L1 and L2 are connected to a null line and a live wire between the X capacitor C3 and the X capacitor C4 in series respectively, the high-voltage pulse absorbing capacitors C5 and C6 are connected in series, and the high-voltage pulse absorbing capacitors C7 and C8 are connected in series. The filter can be used for inhibiting an EMI (electro magnetic interference) signal conducted by the household appliance into a power grid, and blocking a power line carrier signal from being lost in the household appliance, so that the power spectral density of the power line communication is improved.

Systems/methods for computing a power spectral density estimate for a noise signal. Where the noise signal appears in two channels (a single channel), n successive data acquisitions from the two channels (the single channel) are used to compute n respective cross (power) spectral densities, which are then averaged. The averaged cross (power) spectral density may then be smoothed in the spectral domain. The magnitude of the smoothed cross (power) spectral density comprises an estimate for the noise power spectral density. An effective number of independent averages may be computed based on the number n, the time-domain window applied to the acquired sample sets, the amount of overlap between successive sample sets, and the shape of the frequency-domain smoothing function. A statistical error bound (or uncertainty measure) may be determined for the power spectral density estimate based on the effective number of averages and the averaged single-channel and cross-channel spectral estimates.