Abstract: A pulsed light high-speed polarization locking method of a continuous variable quantum key distribution system is disclosed. An integral type optical detector is used for converting energy of a single pulsed light into a peak voltage of an output electric pulse in real time so as to achieve real-time measurement of light pulse energy without conducting high-speed data sampling and simplify the data acquisition and processing. By utilizing the FPGA hardware, a conditional simulated annealing algorithm is quickly operated to search the target polarization state and achieve high-speed polarization locking under the pulsed light. In addition, the power change of a local oscillator is monitored in real time to strengthen the resistance of the system against local oscillator dithering attack. The present invention can effectively solve a problem of rapid fluctuations of polarization state of pulsed light caused by complex external environments.

Abstract: A one-dimensional modulation continuous-variable quantum key distribution method is provided. The method includes transmitting, at a transmit end, a signal light field that passes through a first amplitude modulator and a first signal adjustment apparatus, and a reference light field, to an optical fiber combiner, and to a receive end through a quantum transmission channel. The method also includes separating, at the receive end, a quantum signal after the quantum signal passes through a second signal adjustment apparatus and an optical fiber splitter; and transmitting a separated reference light field and a separated signal light field to a measurement apparatus after the separated reference light field passes through a third signal adjustment apparatus and a phase modulator. Signal amplitude modulation and phase locking can be implemented by an amplitude modulator and a phase modulator, thereby simplifying the structure of the apparatus and reducing production costs.

Abstract: A pulsed light high-speed polarization locking method of a continuous variable quantum key distribution system is disclosed. An integral type optical detector is used for converting energy of a single pulsed light into a peak voltage of an output electric pulse in real time so as to achieve real-time measurement of light pulse energy without conducting high-speed data sampling and simplify the data acquisition and processing. By utilizing the FPGA hardware, a conditional simulated annealing algorithm is quickly operated to search the target polarization state and achieve high-speed polarization locking under the pulsed light. In addition, the power change of a local oscillator is monitored in real time to strengthen the resistance of the system against local oscillator dithering attack. The present invention can effectively solve a problem of rapid fluctuations of polarization state of pulsed light caused by complex external environments.

Abstract: A one-dimensional modulation continuous-variable quantum key distribution method is provided. The method includes transmitting, at a transmit end, a signal light field that passes through a first amplitude modulator and a first signal adjustment apparatus, and a reference light field, to an optical fiber combiner, and to a receive end through a quantum transmission channel. The method also includes separating, at the receive end, a quantum signal after the quantum signal passes through a second signal adjustment apparatus and an optical fiber splitter; and transmitting a separated reference light field and a separated signal light field to a measurement apparatus after the separated reference light field passes through a third signal adjustment apparatus and a phase modulator. Signal amplitude modulation and phase locking can be implemented by an amplitude modulator and a phase modulator, thereby simplifying the structure of the apparatus and reducing production costs.

Abstract: Global motion between frames of a motion-compensated inter-frame encoded video sequence is estimated directly from the motion vectors encoded within the frames. For any particular frame, the motion vectors are first decoded, and a finite number of sets of vectors are selected. An affine or other geometrical transform is then used to generate a motion estimation for each set, and then the least median squared error present in each motion estimation is calculated for each estimation. The motion estimation with the smallest least median squared error is then selected as being representative of the global motion in the image of the frame. A panoramic image generating method and system makes uses of the global motion estimations thus obtained.

Abstract: The present invention relates to the process for producing modulators of cystic fibrosis transmembrane conductance regulator (CFTR).

Abstract: The invention relates to estimating the global motion between frames of a motion-compensated inter-frame encoded video sequence, directly from the motion vectors encoded within the frames. For any particular frame, a motion estimation is determined from motion vectors direct from the frame's anchor frame to the frame in question. This motion estimation is then checked against pre-determined criteria, and where the criteria are not met, re-estimation along a different route is performed, using the bi-directional motion vectors contained within B-frames. A panoramic image generating method and system which makes uses of the global motion estimations thus obtained is also described.

Abstract: The present invention relates to the process for producing modulators of cystic fibrosis transmembrane conductance regulator (CFTR).

Abstract: The invention relates to estimating the global motion between frames of a motion-compensated inter-frame encoded video sequence, directly from the motion vectors encoded within the frames. For any particular frame, the motion vectors are first decoded, and a finite number of sets of vectors are selected. An affine or other geometrical transform is then used to generate a motion estimation for each set, and then the least median squared error present in each motion estimation is calculated for each estimation. The motion estimation with the smallest least median squared error is then selected as being representative of the global motion in the image of the frame.

Abstract: The invention relates to generating panoramic images of foreground and background panorama. Within mosaiced panoramic images there will often be more than one pixel value available for each pixel position. In the invention pixel values for a foreground panoramic image are selected by taking the most extraordinary pixel as foreground, and pixel values for a background image are selected by taking a median pixel value. We have found that such pixel selection gives improved results with respect to the prior art.

Abstract: The invention relates to estimating the global motion between frames of a motion-compensated inter-frame encoded video sequence, directly from the motion vectors encoded within the frames. For any particular frame, a motion estimation is determined from motion vectors direct from the frame's anchor frame to the frame in question. This motion estimation is then checked against pre-determined criteria, and where the criteria are not met, re-estimation along a different route is performed, using the bi-directional motion vectors contained within B-frames. A panoramic image generating method and system which makes uses of the global motion estimations thus obtained is also described.

Abstract: Audio/Visual data is classified into semantic classes such as News, Sports, Music video or the like by providing class models for each class and comparing input audio visual data to the models. The class models are generated by extracting feature vectors from training samples, and then subjecting the feature vectors to kernel discriminant analysis or principal component analysis to give discriminatory basis vectors. These vectors are then used to obtain further feature vector of much lower dimension than the original feature vectors, which may then be used directly as a class model, or used to train a Gaussian Mixture Model or the like. During classification of unknown input data, the same feature extraction and analysis steps are performed to obtain the low-dimensional feature vectors, which are then fed into the previously created class models to identify the data genre.