335 results about "Window Width" patented technology

The invention discloses a frame synchronization method applicable to a burst communication system. A multi-path segmented coherence relevance mode with different segmentation lengths is adopted in an initial signal channel access stage, the maximum relevance value of each branch path is adopted for carrying out double-threshold value (relative threshold value and absolute value) judgment, the synchronous confirmation is carried out from the position with the relevance value exceeding the threshold value, and the influence of severe environment factors in the initial signal channel access stage is overcome through the setting of proper double threshold values and conforming windows; and a full coherence relevance mode is adopted in a stable communication stage, the prior double threshold values and conforming window width are set according to the signal channel information recorded in the conforming windows in the initial signal channel access stage, and the method and the device have higher adaptability through different frame synchronization methods adopted in different communication stages.

In order that it is realized to put 16× speed DVD-RAM in practice, a recording method coping with CAV (constant angular velocity) and a method for improving S/N ratio are provided and an optical disk device using them is provided. In order that a cutoff phenomenon of pulse in a laser driving circuit may not occur, the shortest pulse width is set at 1 Tw or more where Tw indicates a window width, and a recording pulse in which a 4T mark is recorded with a mono pulse where T indicates a detection window width and the parameter setting range are prescribed. Simultaneously, a reproduction power for 6× speed or more is set at 1.5-2.0 mW, different from a conventional value, and a setup sequence with which deterioration of data in reproducing does not occur is provided. Thereby it becomes possible to put 16× speed DVD-RAM in practice.

The invention discloses a self-adapting adjustment method for medical image window parameters. The method calculates the left boundary and right boundary of the window according to the accumulated probability intensity function of digital medical images, fractile of probability p, fractile of probability 1-p and climbing parameter q, so that position boundaries at major body of the image column diagram can be used to suitably determine the window parameter width and position of medical images, and then reflects the pixel value of digital medical images to the grey area in the grey stage range of the display. The invention has the advantages that through the automatic calculation of the optimum window width parameters through medical image information, users can obtain clear and satisfactory display images, thus having the high robustness; the window determined by the invention makes full use of the display gray stage of display, giving prominence to organization information useful for clinical diagnosis; the test and long-time clinical application prove that the invention is suitable for most of medical images and has the good display effect.

A noise removal device includes: an FFT analysis unit which receives a mixed sound including to-be-extracted sounds and noises, and determines frequency signals at time points in a time width; and a to-be-extracted sound determination unit which determines, for each to-be-extracted sound, frequency signals at the time points, satisfying conditions of (i) being equal to or greater than a first threshold value in number and (ii) having a phase distance between the frequency signals that is equal to or smaller than a second threshold value, wherein the phase distance is a distance between phases ψ′(t) of the condition-satisfying frequency signals when a phase of a frequency signal at a current time point t is ψ(t) (radian) and the phase ψ′(t) is mod 2π(ψ(t)−2πft), f denoting a reference frequency, and the predetermined time width is within 2 to 4 times the time window widths of the window functions.

A structure method for producing same provides suppressed lattice defects when epitaxially forming nitride layers over non-c-plane oriented layers, such as a semi-polar oriented template layer or substrate. A patterned mask with “window” openings, or trenches formed in the substrate with appropriate vertical dimensions, such as the product of the window width times the cotangent of the angle between the surface normal and the c-axis direction, provides significant blocking of all diagonally running defects during growth. In addition, inclined posts of appropriate height and spacing provide a blocking barrier to vertically running defects is created. When used in conjunction with the aforementioned aspects of mask windows or trenches, the post structure provides significant blocking of both vertically and diagonally running defects during growth.

The invention discloses a chromatic dispersion compensation method of an FD-OCT (Fourier-Domain Optical Coherence Tomography) system. According to the chromatic dispersion compensation method disclosed by the invention, the chromatic dispersion mismatch induced by an optical path and a sample in the system can be automatically compensated from thick to thin by adopting a window iteration method, thus a broadening effect of chromatic dispersion in the system can be removed, and the resolution of the system can be increased. The chromatic dispersion compensation method has the advantages that different depths of the inner part of the sample can be compensated by adopting corresponding chromatic dispersion coefficients, the influence on a depth resolution chromatic dispersion compensation effect when the window width which is determined by adopting a single threshold value is unsuitable can be avoided, and thus an optimal compensation effect on the chromatic dispersion in different depths induced by the sample can be achieved.

The invention discloses a voltage sag detection method for S-transformation on the basis of time-frequency gathering characteristic criteria. The method includes the first step of obtaining voltage sag disturbance signals to be detected generated in a power distribution network, the second step of conducting analog-digital conversion on an obtained voltage sag disturbance signal model, the third step of conducting optimized selection on gaussian time-frequency window width adjustment parameters in an improved S-transformation method according to time-frequency gathering characteristic criteria, substituting the gaussian time-frequency window width adjustment parameters selected according to empirical values, and conducting characteristic extraction, detection and analysis on digital signals to be detected in the second step through the improved S-transformation. Selection of condition parameters of a gaussian window function is optimized through the constraint condition that the value of a time-frequency gathering characteristic expression is maximized when the signals are analyzed through the improved S-transformation, and the improved S-transformation is applied to characteristic extraction, detection and analysis on voltage sags. The voltage sag detection method for S-transformation on the basis of time-frequency gathering characteristic criteria has the higher detection accuracy degree and signal denoising capacity on transient-state electric energy quality signals.

A window and door head flashing assembly is fabricated at a construction site to fit specific door or window widths. A center section which may be extruded with a sloped base, a rear flange, and a front lip. End caps may be provided to snap or glue on the center section. The end caps have a perpendicular fin which serves as an end dam to block the lateral movement of water. The assembly may be inverted for use as a sill pan. The center section may be cut to a desired length and installed over arched windows or doors by bending to shape as it is installed. For arched applications, a combination of rigid and flexible PVC may be coextruded to provide a desired cross sectional profile that is flexible enough to be bent around the arch, but stiff enough to retain its cross section for drainage.

Disclosed is a design and adjusting method for fuel oil metering device starting flow characteristics. The design and adjusting method for the fuel oil metering device starting flow characteristics includes the following six steps: 1) a valve adopting a rectangular fuel window is calculated by adopting a constant pressure difference fuel oil metering flow metering method so that the starting flow characteristics are linear; 2) a bypass adjusting element is arranged so that an intercept of the starting flow characteristics can be adjusted; 3) a fuel oil metering device is used as a standard part, the parameters such as pressure intensity difference of differential pressure valves or differential pressure fuel oil return valves, a metering valve core initial position feedback value, metering valve oil fuel control window width and bypass adjusting element circulation area are respectively in the middle range of design allowable errors; 4) the installation position of a metering valve core displacement sensor is adjusted; 5) a rake ratio of an adjusted product starting flow characteristics are enabled to be equal to that of the standard part; 6) the intercept of the adjusted product starting flow characteristics can be equal to that of the standard part. The design and adjusting method for the fuel oil metering device starting flow characteristics has the advantages that uniformity of the starting flow characteristics can be greatly improved, and good interchangeability of the fuel oil metering device can be ensured.

The invention discloses a rolling bearing fault intelligent diagnosis method based on improved S-transformation and deep learning. According to the method, a window width adjustment factor is added toS-transformation, so that the window width of a Gaussian window function can be changed, and therefore, the time-frequency resolution of the S-transformation can be improved, and the S-transformationcan accurately detect an impact component in vibration signals, and thus, the fault characteristics of the vibration signals of a rolling bearing can be better extracted. Improved S-transformation isperformed on the vibration signals of the fault of the bearing, so that the feature matrix of the signals can be obtained; the feature matrix is subjected to column-based expansion so as be convertedinto a feature vector, and the feature vector is inputted into a sparse autoencoder model; on the basis of the characteristics of the encoder, the deep features of the data are further extracted, sothat some important hidden information that is not recognized by humans can be mined; the extracted features are accurately classified. With the method of the invention adopted, the accuracy of the fault diagnosis of the rolling bearing can be effectively improved.

The invention discloses a satellite navigation positioning resolving method based on Doppler smoothing pseudorange under a high-sensitivity environment. In the invention, a pseudorange measuring value is smoothened through a Doppler measuring value reproduced by a receiver, the problem of serious distortion of a carrier phase during the smoothing pseudorange of the carrier phase under a condition of weak signals is solved. The method comprises the following steps of: correcting the pseudorange at every new epoch moment according to Doppler frequency offset reproduced by the receiver from the moment to the initial moment to acquire an initial moment pseudorange corrected value; averaging the initial moment pseudorange corrected value to obtain the initial moment pseudorange corrected average value when the quantity of the initial moment pseudorange corrected value reaches to the requirement of window width; and finally carrying out Doppler frequency offset correction from any moment to the initial moment based on the initial moment pseudorange corrected value to finally acquire high-accuracy pseudorange at any moment. The invention is suitable for various satellite navigation positioning resolving systems, such as a GPS (Global Position System), a GLONASS (Global Navigation Satellite System) and the like.

The invention belongs to the field of spectral analysis and especially relates to a near infrared spectrum analysis method based on a CC-PLS-RBFNN optimization model. According to the method, a correlation coefficient method (CC), partial least squares (PLS) and a radial basis function neural network (RBFNN) are combined for optimizing important parameters. The method comprises the following steps: utilizing three-order Savitzky-Golay convolution smooth filtering and first-order derivative correction to preprocess the original spectrum; establishing a PLS model on a whole wavelength section, and optimizing and selecting window width and PLC extracted main constituent quantity; calculating a correlation coefficient of each wavelength variable, selecting the wavelength variable with the correlation coefficient more than a preset threshold value, participating in modeling, and optimizing and selecting the threshold size; utilizing the optimized and selected window width, the main constituent quantity and the wavelength variable to acquire an optimized PLS model; and using a main constituent score and a nature matrix extracted by the optimized PLS model to train the RBF neural network, thereby acquiring the final CC-PLS-RBFNN optimization model. According to the method, the robustness and precision of near infrared spectroscopy analysis can be obviously promoted.

Systems and methods are used to analyze a sample using variable mass selection window widths. A tandem mass spectrometer is instructed to perform at least two fragmentation scans of a sample with different mass selection window widths using a processor. The tandem mass spectrometer includes a mass analyzer that allows variable mass selection window widths. The selection of the different mass selection window widths can be based on one or more properties of sample compounds. The properties may include a sample compound molecular weight distribution that is calculated from a molecular weight distribution of expected compounds or is determined from a list of molecular weights for one or more known compounds. The tandem mass spectrometer can also be instructed to perform an analysis of the sample before instructing the tandem mass spectrometer to perform the at least two fragmentation scans of the sample.

The invention provides a communication signal modulating and identifying method based on generalized S transformation. The communication signal modulating and identifying method comprises the following steps of: (1) carrying out analytic signal configuration on an input modulating signal according to the characteristic of an input signal to noise ratio modulating signal to obtain an analytic signal to be used as a signal for carrying out generalized S transformation; (2) configuring a Gaussian window function needed by the generalized S transformation; (3) determining a Gaussian window width factor sigma according to an expression formula of the generalized S transformation; carrying out the generalized S transformation on an input modulation signal by combining short-time Fourier transformation and the Gaussian window function to obtain time-frequency energy distribution images of the modulation signal; and (4) comparing energy images of all modulation signals according to the time-frequency energy distribution images obtained by the step (3) to find out a difference between the time-frequency energy distribution images of all modulation signals which are subjected to the generalized S transformation; selecting a frequency strip quantity with concentrated energy, a maximum value ratio of high-frequency component energy to low-frequency component energy, energy time domain distribution, high-frequency and low-frequency component extreme value time domain distribution and high-frequency component extreme value distribution so as to identify all modulation signals. According to the invention, a high identification rate is achieved under the condition of a low signal to noise ratio, and the method is suitable for modulating and identifying communication signals under a heavy clutter environment.

The invention relates to a method for automatic generation of melodies where from one step to a following a new parameter value is generated that is sent to a unit emitting sound. The parameters comprise a new note pitch, a new window width, a life span for the window width, a window offset and a life span for the window offset. The new note pitch is selected according to a given probability distribution within the interval of note pitches given by the note pitch in a previous step, the window width and the window offset.

The invention discloses a steering engine reliability simulation sampling method based on Markova chain Monte Carlo, which comprises four stages: 1, Markova process simulation, namely selecting the initial state of a Markova chain, determining a random transition sampling probability density function, determining the next state of the Markova chain and constantly repeating to generate random sample points, of which the limit distribution is asymptotically optimal, of an importance sampling density function; 2, kernel density estimation, namely selecting a kernel density function, determining a window width parameter and a local bandwidth factor and generating a mixed importance sampling probability density function by using a self-adaptive width and kernel density estimation method according to Markova state points; 3, importance sampling, namely performing importance sampling according to the mixed importance sampling probability density function generated in the second stage; and 4,statistical calculation, performing failure probability estimation according to the important sample points generated in the third stage and calculating the failure probability of the system. The method effectively solves the problems of low simulation efficiency, low precision and mixed system.

The invention relates to an ROI window width and position adjusting method of a medical image. The method comprises the steps that a rectangular ROI of the image is selected; all pixel points of the region is scanned, the sum of all the pixel points is calculated, and a histogram array is solved; the average of the pixel points is calculated; a coefficient k is set, each element in the histogram array is scanned, and the first satisfied point and the last satisfied point are found; the window width and position are calculated; and an original image is converted to a display gray scale interval for imaging. It is only required to provide the ROI to automatically calculate the optimal window width and position of the region needless manual adjustment, and the image of the region can be clearly displayed.

A radio communication system in which a transmission station performs window function processing on a transmission symbol to which cyclic prefixes have been attached for each specified number of samples, then transmits the signal, and a receiving station extracts and demodulates effective signal portions from the received signal, wherein the transmission station uses a control channel to notify the receiving station of window width N_win of the window function; the receiving station adjusts the extraction position of the received signal based on the window width notified from the transmission station; and the receiving station uses the extracted received signal to execute demodulation processing of the transmission symbol. With this system, in an environment in which there are both transmission stations that perform window function processing on a transmission signal and transmission stations that do not perform window function processing, it is possible for the receiving station to effectively use cyclic prefixes CP and to perform demodulation without receiving the effect of distortion caused by the window function processing.