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216results about How to "Avoid aliasing" patented technology

Method and apparatus for demodulating signals in a pulse oximetry system

A method and an apparatus measure blood oxygenation in a subject. A first signal source applies a first input signal during a first time interval. A second signal source applies a second input signal during a second time interval. A detector detects a first parametric signal responsive to the first input signal passing through a portion of the subject having blood therein. The detector also detects a second parametric signal responsive to the second input signal passing through the portion of the subject. The detector generates a detector output signal responsive to the first and second parametric signals. A signal processor receives the detector output signal and demodulates the detector output signal by applying a first demodulation signal to a signal responsive to the detector output signal to generate a first output signal responsive to the first parametric signal. The signal processor applies a second demodulation signal to the signal responsive to the detector output signal to generate a second output signal responsive to the second parametric signal. The first demodulation signal and the second demodulation signal both include at least a first component having a first frequency and a first amplitude and a second component having a second frequency and a second amplitude. The second frequency is a harmonic of the first frequency. The second amplitude is related to the first amplitude to minimize crosstalk from the first parametric signal to the second output signal and to minimize crosstalk from the second parametric signal to the first output signal.
Owner:JPMORGAN CHASE BANK NA

Solid-state imaging device, driving method thereof, and camera

ActiveUS20080018770A1Transfer driving becomes easyFrame frequencyTransistorTelevision system detailsEngineeringSolid-state
A solid-state imaging device includes: a plurality of light-receiving elements which are arranged by rows and columns; a plurality of vertical transfer units each of which is arranged for a corresponding column of the light-receiving elements, and vertically transfers a plurality of signal packets and dummy packets, the signal packet including charges read from the light-receiving elements, the dummy packets being packets other than the signal packets, and N columns of the vertical transfer units forming one column group; a plurality of hold units which are arranged for final stages of the vertical transfer units in N columns except M column in the column group, and each of which mixes, holds, and vertically transfers charges of the signal packets and the dummy packet without depending on vertical transfer from upstream of the corresponding vertical transfer unit; a horizontal transfer unit which mixes, holds, and horizontally transfers the charges transferred from the hold units or the vertical transfer units in the M column in the column group; and a driving unit which drives the vertical transfer units, the hold units, and the horizontal transfer unit, wherein the driving unit perform the driving, so that a signal packet and a plurality of dummy packets in an identical column are mixed together into a mixed packet in each of the holding units, charges of the mixed packet are held in the hold unit, the held charges of the mixed packet are vertically transferred to the horizontal transfer unit so that the mixed packet is mixed with a mixed packet of a different hold unit which is vertically transferred from the different hold unit to the horizontal transfer unit.
Owner:PANNOVA SEMIC

Simulation method of linear frequency modulation continuous wave synthetic aperture radar video signal

The invention provides a simulation method for a linear frequency modulation continuous wave synthetic aperture radar video signal, which comprises the following steps: simulated synthetic aperture radar system parameter information is set and read; the information parameter of a target is set; a simulated time is treated with discretization; the instantaneous positions of a radar platform and the target are respectively calculated, and a distance vector between a phase center and the target is obtained according to geometric position relation; a one-dimension echo signal is obtained by combining the echo signal mathematic model of the synthetic aperture radar and radar system parameters; the one-dimension signal is divided according to pulse repetition period and formatted into a two-dimension signal, the two-dimension signal with Na multiplied by Nr is obtained after the total data is stored, thus finishing the fine simulation of the linear frequency modulation continuous wave synthetic aperture radar video signal. The more accurate echo simulation signal can be obtained by utilizing the simulation method, and the simulation method is especially suitable for a frequency modulation continuous wave signal with high-speed movement, long distance and severe oblique observation condition of the radar and has more excellent realization efficiency, and stronger adaptability and compatibility.
Owner:BEIHANG UNIV

Unsupervised domain adaptation classification method based on inter-class matching

The invention discloses an unsupervised domain adaptation classification method based on inter-class matching, so as to solve the technical problem that the present classification method for images between different domains is poor in classification performance. According to the technical scheme, according to samples in a source image domain and a target image domain, the maximum average difference model for classes is built. A linear projection method is used to build a feature representation model for domain migration, the source domain samples and the target domain samples are projected to the same hidden feature space. In joint consideration of the supervision information of the source domain samples and hidden low-rank structural features between samples in the target domain, a robust target domain classification model is built, and all unlabeled samples in the target domain are marked. A joint optimization model with minimization of the distribution difference of the same class between domains as a target is built, an alternating minimization optimization method is used, alternating iteration of the feature representation model and the classification model is carried out until convergence, the optimal target domain classification result is obtained finally, and the classification performance is good.
Owner:NORTHWESTERN POLYTECHNICAL UNIV

Method and device for digital front-end filtering

The invention relates to a method and a device for digital front-end filtering. The method comprises the following steps: firstly, an analog base-frequency signal is introduced into an analog-digital conversion component by an input pin; after up-sampling is carried out on the analog base-frequency signal, the analog base-frequency signal is converted into sampling signals I and Q for output; the sampling signals I and Q enter a control unit via a data wire and are respectively output to a digital filter I and a digital filter Q; digital filtering is respectively carried out on the entering digital signals I1 and Q1, and digital signals I2 and Q2 after filtering are obtained; and one-time down-sampling is carried out on the digital signals I2 and Q2, and data obtained by sampling are output under the matching of a new sampling clock according to a new data rate. The method has the advantages that the waveform further approaches to an analog value, and the superimposition and the distortion of the frequency spectrum are avoided. A programmable component is adopted to realize the method for digital front-end filtering, and the design is flexible. The digital filters only use an adder and a shift register, thereby enhancing the efficiency of the whole digital front end and lowering the cost of the system.
Owner:BEIJING TRANSPACIFIC IP TECH DEV

Fiber-optic based traffic and infrastructure monitoring system

In an arrangement of a traffic infrastructure and an optic sensor system (10, 20), the traffic infrastructure has a traffic carrying surface (51) for providing support of conveyance elements (92) of a vehicle (90), therewith allowing movements of the vehicle over the traffic carrying surface. The optic sensor system (10, 20) comprising an interrogator (10) and at least one fiber optic sensor (20) arranged below the traffic carrying surface that is coupled to the interrogator. The at least one fiber optic sensor (20) comprising an optic fiber (21) with a plurality of optic strain-sensor elements (22) distributed over its length. The plurality of optic strain-sensor elements (22) have mutually different optical characteristics, e.g. a mutually different characteristic wavelength. The interrogator (10) is configured to transmit an optical interrogation signal into the at least one fiber optic sensor, to receive a response optical signal modulated by said fiber optic sensor, and to identify changes in the optical characteristics of the response optical signal resulting from strains induced in said optic strain-sensor elements as a result of a conveyance element (92) of a vehicle (90) moving over the traffic carrying surface (51) across said at least one fiber optic sensor. wherein the at least one fiber optic sensor (20) extends at least substantially according to a straight line in a direction at least substantially parallel to the traffic carrying surface.
Owner:OPTICS11 BV +1

EMI-filter-based electromagnetic interference noise measuring and suppressing system

The invention discloses an EMI-filter-based electromagnetic interference noise measuring and suppressing system. The system comprises a linear impedance stabilization network, a signal selection module, a noise amplification module, a filter module, an A/D sampling module, a central control module and a serial port communication module, wherein an extraction signal output end of the linear impedance stabilization network passes through the signal selection module and is input into the input end of the noise amplification module; the output end of the noise amplification module sequentially passes through the filter module and the A/D sampling module and is in two-way connection with the central control module; the central control module communicates with an upper computer by virtue of the serial port communication module; the signal selection module comprises a noise separation circuit and an external relay normally-closed contact K1-1, a relay normally-opened contact K1-2 and a relay normally-opened contact K2-1; the relay normally-closed contact K1-1 and the relay normally-opened contact K1-2 serve as mutually reverse action contacts. The EMI-filter-based electromagnetic interference noise measuring and suppressing system has the advantages that the data can be sampled and regulated, the noise modal is quickly and accurately separated, the external interference is resisted, and the interference of the system on other devices can be simultaneously suppressed.
Owner:NORTH CHINA ELECTRIC POWER UNIV (BAODING) +1

Wavelet-decomposition-based SAR image change detecting algorithm of multi-scale level set

The invention discloses a wavelet-decomposition-based SAR image change detecting algorithm of a multi-scale level set, and belongs to the field of remote sensing image processing. The wavelet-decomposition-based SAR image change detecting algorithm mainly solves the problem that a speckle noise effect is serious in an SAR image change detecting process. The wavelet-decomposition-based SAR image change detecting algorithm is implemented in the following steps that (1) a difference image of two registered SAR images in the same region and at different time phases is obtained by adopting logarithm ratio operators; (2) multilayer wavelet decomposition is conducted on the difference image through SWT so as to obtain images with different resolution ratios; (3) the images with the low resolution ratios are preliminarily segmented through a level set algorithm, and the outlines of obtained segmented images are used as initialization curves of the level set algorithm of the images with the higher resolution ratios; (4) the step (3) is repeated in a layer-by-layer mode until final segmented images are obtained by conducting level set segmentation on the images with the high resolution ratios. According to the wavelet-decomposition-based SAR image change detecting algorithm, the multi-scale application overcomes the defect that a closed curve is prone to getting into local optimum in a level set evolutionary process, and robustness on noise is enhanced; the wavelet-decomposition-based SAR image change detecting algorithm is applied to change detecting of the SAR images, the detecting effect and detecting accuracy are improved obviously, and the change detecting process is accelerated.
Owner:XIDIAN UNIV
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