57 results about "Initial window" patented technology

The present invention is to provide a method and device which can determine current available bandwidth for each Transport Control Protocol (TCP) connection and adjust window size dynamically according to the available bandwidth to achieve high network utilization and efficient flow control in the same time without the need to buffer any received TCP packets, which can work with and without support of large window option. The device classifies incoming traffic into several groups (public and private), monitors and allocates the available bandwidth for each group. To enable flow control, the device also records the initial window size value for each connection and compares it with the original window size value for a newly received TCP packet. If the original window size value received from TCP receivers changes, the device varies the modified window size accordingly to enable efficient flow control in the same device as well.

The invention relates to a method for selecting a window size for a packet switched connection between a first and a second party. The associated window is used by a sending party for a window based congestion control mechanism for avoiding or handling congestion on a communication path. The invented method enables to adapt the size of an initial window, a loss window, and a restart window based on information available in the network to increase the utilisation of transmission capacity.

The invention comprises the following steps: with the accumulating metrics of the initial window, an incorrect initial path is merged into a correct path, and a state of optimal node at the end of initial window is used as a decoding initial state of the tail-biting convolution code; in term of said decoding initial state and a delay window, through whole decoding trace-back, a Viterbi decoding is made for the tail-biting convolution code.

An apparatus for detecting a sync signal in a digital data record/replay device having a parallel clock generator, a parallel data generator, and a window unit comprises: a sync signal detector for comparing a pattern matching sync signal output from a sync pattern detector with an output signal of the window unit and detecting a sync signal according to clocks of the parallel clock generator; a latch unit for latching the sync signal detected by the sync signal detector and outputting the sync signal as a sync position signal according to clocks of the parallel clock generator; an identification error correction code (ID ECC) controller for generating an ID ECC control signal according to the sync position signal of the latch unit; an ID ECC decoder for decoding ID areas of parallel data generated by the parallel data generator; and a sync signal checking unit for outputting the sync position signal of the latch unit as a final sync signal and, when errors are detected as a result of the ID ECC decoding, sending a control signal to the window unit. The present invention can check sync signals using the ID ECC and restore normal sync signals when an initial sync signal is erroneously detected due to unstableness of initial window signal or when sync signals are missed and erroneously detected due to change of clocks during the normal replay.

The invention relates to a KVM (Keyboard Video Mouse) control method and device, a storage medium and computer equipment. The KVM control method includes the following steps: establishing connection of computers and display equipment, and allocating signal sources of the computers to corresponding windows; acquiring an initial window associated with keyboard/mouse equipment, and establishing connection of the keyboard/mouse equipment and a computer corresponding to the initial window; and establishing connection of the keyboard/mouse equipment and a computer, which corresponds to an updated window, when it is detected that a mouse pointer is moved to the updated window. The computers are enabled to be connected with the display windows in a one-to-one corresponding manner through establishing connection of the computers and the display equipment and allocating the signal sources of the computers, connection of the keyboard/mouse equipment and the computer is established through the preset initial window, control on the computer is realized, the keyboard/mouse equipment is connected to the computer, which corresponds to the window where the mouse pointer in located, when it is detected that the mouse pointer corresponding to the keyboard/mouse equipment is moved to the window corresponding to the another computer, free switching on multiple pieces of the computer equipment is realized, and operations are time-saving and simple.

A method and device are provided for coding or decoding a digital audio signal by transform using analysis or synthesis weighting windows applied to sample frames. The method includes an irregular sampling of an initial window provided for a transform of given initial size N, to apply a secondary transform of size M different from N.

The embodiment of the invention provides a method and a device used for adjusting the size of an initial window of TCP connection. According to the network bandwidth corresponding to the network access mode of a core network, the size of the initial window of TCP connection of a TCP proxy device is confirmed, so that the TCP proxy device can carry out data transmission according to the size of the initial window. For different network access modes, the size of the initial window of TCP connection of the TCP proxy device is set. The size of the initial window of TCP connection is flexibly connected. The size of the initial window of TCP connection can match the network access mode. The transmission speed and the bandwidth utilization of TCP connection are further improved.

The invention discloses a method for searching for a sliding window based on layered segmentation. According to the method, firstly, superpixel segmentation is conducted on an image; secondly, a layered segmentation algorithm of the image is run on the basis of a superpixel segmentation result of the image and a definition of region similarity; thirdly, initial windows are generated according to the layered segmentation result of the image, and the windows are screened according to the priori knowledge of a target; lastly, target candidate windows are collected densely around the remaining windows. By means of the method, on the premise that the target is not missed, only a small number of candidate target positions are generated, and the problem of a large calculated amount of feature extraction and classifier judgment in a target detection task can be effectively relieved.

The invention belongs to the technical field of radars, discloses a first-initiation second-confirmation radar track initiation method and mainly solves the problem of an existing radar system that the target track initiation probability is relatively low. The method comprises the steps of: 1) setting a detection judgment false alarm probability, determining a detection threshold, and processing echo signals to form detection statistics and measured data; 2) according to the measured data, establishing an initial track according to a track initiation criterion; 3) enabling the initial length value of a track confirmation window to be the length of a track initial window; 4) calculating a false point trace probability and a false track probability of the mth initial track in the track confirmation window; 5) according to the false track probability of the mth initial track, determining whether the initial track is a target track, if a track ending criterion is met, then cancelling the track, and if the track is not determined nor cancelled, then adding one to the track confirmation window and returning to the steps 4); and 6) traversing all the initial tracks. Compared with an existing track initiation method, the initiation probability of the target track is improved.

The invention discloses an infrared focal plane detector blind pixel correction method. The method comprises the following steps: calculating an image pixel I, which serves as a center, and an initial window n*n(n=3) formed by surrounding pixels; calculating a window median M, and judging whether the I-M is larger than a preset threshold value v_thd; if I-M>v_thd fails, judging whether n is larger than a preset threshold value n_thd, and if n >n_thd, judging the point is a non-blind pixel, and turning to a next pixel point; if n >n_thd fails, enlarging the window n*n(n=n+2), and calculating the window median M; if I-M> v_thd, skipping to the next step; enlarging the window n*n(n=n+2), and calculating the window median M1; and judging whether the I-M1 is larger than the v_thd, if not, judging the point is a non-blind pixel, and if so, judging the point is a blind pixel, using M to replace the pixel and turning to the next pixel point. The basic idea is a variable window blind pixel elimination method; and the method, based on characteristics of blind pixels in the practical application, does not need to store the blind pixel information, and can finish correction of all blind pixels without iteration for any qualified detector at any time.

The invention provides a TCP initial window optimization method and system. The method comprises the following steps of selecting an initial window of a TCP connection from a congestion window table according to user access information, and establishing a user TCP connection by utilizing the selected initial window, wherein the congestion window table is updated according to the information of theTCP flow in the user TCP connection. The network transmission performance can be improved by optimizing the TCP initial windows of different users.

A method for optimize window parameters of integrate kernel density estimator includes obtaining random sample to divide data block based on original data set, dividing data block by random sample, dividing data block by integrated kernel density estimator, dividing data block by integrated kernel density estimator, dividing data block by integrated kernel density estimator, dividing data block byintegrated kernel density estimator, dividing data block by integrated kernel density estimator, dividing data block by integrated kernel density estimator and dividing data block by integrated kernel density estimator. The integrated kernel density estimator is constructed on each random sample partition data block by Parzen window method, and the initial window width parameters of the integrated kernel density estimator are calibrated. K different random sample partition data blocks were selected to construct the training set; K different random sample partition data blocks were selected toconstruct verification sets; The initial window width parameters of the integrated kernel density estimator are optimized according to the training set and the verification set, and the optimal window width parameters are obtained. The integrated kernel density estimator is optimized according to the optimal window width parameter. The invention can improve the accuracy of the estimation of the probability density function, and can be applied to the estimation of the probability density function of a large-scale data set.

The present invention relates to a system and method for estimating size of an object of known position on an image, especially on infrared imaging systems. The method comprises the steps of; receiving the pixel image including target object and a coordinate of a pixel on it, calculating pixel standard deviations within a rectangular window centred around that pixel, by successively enlarging the window by a step-size, and obtaining at least one window size versus standard deviation graph, checking whether the graph is monotonically decreasing or not, finding and making a record of the window size at the point where the standard deviation first starts to decrease, checking if a previously recorded window size is existent, estimating the window size, checking if the maximum iteration limit is exceeded, increasing the step-size and initial window size and estimating the window size as the predetermined minimum window size.

The invention provides an FPGA (Field Programmable Gate Array) circuit and a window signal adjustment method. The FPGA circuit comprises a physical layer, a DQS (Data Strobe Signal) GATING circuit, a delay compensation loop, a first circuit and a second circuit, wherein the DQS GATING circuit is connected with the physical layer; the delay compensation loop is connected with the DQS GATING circuit; the first circuit is connected between the physical layer and an external storage; the second circuit is connected between the external storage and the DQS GATING circuit; a window control signal emitted by the physical layer can sequentially pass through the DQS GATING circuit and the delay compensation loop; the DQS GATING circuit is used for adjusting the position of a target window signal relative to a DQS according to the target window signal and the DQS. By adopting the scheme, the window control signal passes through the delay compensation loop, so that the time from emitting a read command by the physical layer to receiving the read command by the external storage and the time from sending the DQS by the external storage to receiving the DQS by the DQS GATING circuit are compensated; through the compensation, when the position of an initial window signal is near the DQS, the window signal can be rapidly adjusted to a reasonable position, and the adjusting efficiency of the window signal is increased.

The invention discloses a method for detecting a characteristic region matched with SAR. The method comprises: selecting any point in an image to be detected as the observation point, and acquiring a standard deviation of the region corresponding to an initial window taking the observation point as the center; successively and progressively increasing the size of the initial window, and acquiring the standard deviation of the region corresponding to each progressive increase window; and performing significance analysis for the standard deviation of the region corresponding to initial window and the standard deviation of the region corresponding to each progressive increase window, and determining that the image to be detected is suitable for matching when the significance is greater than the preset threshold. The method for detecting a characteristic region matched with SAR can avoid the problem that based on threshold segmentation method, the threshold setting for the whole image to be detected is difficult and segmentation is difficult, and cannot be influenced by the degree of the scattering characteristic of the observation point, and is wide in application range, and is especially suitable for the situation that the spot noise is large and large overlapped SAR images exist among the ground feature scattering characteristic values.

The invention discloses a wireless network data transmission method, a sending end and a receiving end, and the method comprises the steps: sending a data message to the receiving end based on an initial window value and an initial aggregation depth; receiving a response message fed back by the receiving end, and determining the current maximum bandwidth and the current window value based on the representation information of the response message;calculating the current maximum aggregation depth according to the current maximum bandwidth; and according to the current window value and the current maximum aggregation depth, sending a data message to the receiving end, and providing the current maximum aggregation depth for the receiving end, so that the receiving end feeds back a response message according to the current maximum aggregation depth. According to the technical scheme provided by the invention, the data transmission efficiency can be improved.