Patents
Literature
Patsnap Copilot is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
Patsnap Copilot

3715 results about "Compression method" patented technology

Compression methods are otherwise known as algorithms, which are calculations that are used to compress files. Organisations that create file formats create their own algorithms and compete with each other to create the best format.

Novel high-capacity two-dimensional barcode and system, encoding and decoding methods and applications thereof

The invention discloses a novel high-capacity two-dimensional barcode and a system suitable for mobile phones and special equipment, and encoding and decoding methods and applications thereof. The high-capacity two-dimensional barcode is composed of a positioning area, a positioning interval area and a data area, wherein the positioning area is composed of a positioning dotted outline border, positioning points, a positioning information unit and a timing unit; the data area is composed of a header file area and a code information area; the information compression technology, the information coding technology and the information encryption technology are used in the two-dimensional barcode; the two-dimensional barcode can control the error correction level of error correction encoding, the amount of encoding information, the compression method of the information and the encryption method of the information; and in the process of decoding, the dynamic decoding can be performed according to the header file information of the two-dimensional barcode. The two-dimensional barcode is high in capacity, can be positioned quickly so as to carry out all-round code reading, can encrypt information, and can read the information of the two-dimensional barcode by designated special decryption keys or designated decryption devices.
Owner:上海易悠通信息科技有限公司

Routing loop detecting method and system based on SDN

The invention discloses a routing loop detecting method based on a SDN. The routing loop detecting method comprises the following steps of: obtaining routing table information and routing event information of each node in a network in real time; constructing a real-time topological structure of the network according to the obtained routing table information and routing event information; constructing a multi-routing-form prefix tree matched with the longest prefix by adopting a hierarchical compression method according to the real-time topological structure, and storing a forwarding subnet segment in the routing table of each node; generating a routing next-hop table for each subnet node in the prefix tree in the subnet segment, in which the loop is necessary to judge, and traversing each subnet node of the prefix tree to generate a node forwarding figure; and judging whether the routing loop exists or not according to the node forwarding figure. The invention further discloses a routing loop detecting system based on the SDN. By means of the routing loop detecting method and system based on the SDN, the routing loop detection efficiency and accuracy are increased; and simultaneously, the storage space and the calculation time are reduced.
Owner:BEIJING CHINA POWER INFORMATION TECH +4

Neural network model compression method and device

The invention discloses a neural network model compression method and a neural network model compression device. The neural network model compression method comprises the steps of: determining a model parameter set of each neuron layer for each neuron layer in a neural network model, wherein the model parameter set includes a plurality of model parameters; carrying out first transformation on the plurality of model parameters to generate a plurality of intermediate parameters; quantizing the plurality of intermediate parameters according to a preset quantization step size to obtain a plurality of quantization parameters; selecting a plurality of sampling quantization points from the plurality of quantization parameters according to a preset quantization bit number; generating quantized values of the plurality of model parameters according to values of the plurality of quantization parameters and the plurality of sampling quantization points; and compressing and storing the plurality of model parameters according to the quantized values. The neural network model compression method can better maintain the effect of the model, greatly reduces the size of the neural network model, and reduces the occupation of computing resources, especially memory resources.
Owner:BEIJING BAIDU NETCOM SCI & TECH CO LTD

Method and apparatus for data compression of heart signals

An improved turning point system and method for performing data compression is disclosed. The system improves the conventional turning point compression method by selecting a predetermined number of the "best" turning points in the sample window including data samples X0 and XN. From this sample-window, ones of the data samples X1 through X(N-1) will be identified as turning points using a selected one of a disclosed set of turning point detection methods. In one embodiment, a turning point is identified by determining that the slopes in the lines interconnecting adjacent data points have different polarities. In an alternative embodiment, a data sample XM is considered a turning point if the slope of the line between the data samples XM and X(M+1) has a different polarity as compared to the slope of the last waveform segment that was encountered that did not have a slope of zero. According to one mechanism, amplitude thresholding is used to detect whether an identified turning point is likely the result of noise such that the turning point status of the data sample should be disregarded. After data samples are identified as turning points, ones of the identified turning points are identified as the "best" turning points to be selected for retention. The best turning points may be identified by determining which waveform segment included within a sample window has the largest change of amplitude. An alternative embodiment detects which of the turning points has the greatest signal amplitude compared to a reference value. Yet another embodiment selects as the best turning point that point having an amplitude that differs the most from the amplitude of the first data sample in the sample window. Still other embodiments retain the turning point having an amplitude which is more positive, or alternatively, more negative, than the other data samples. According to one aspect of the invention, the compression ratio varies based on the frequency of the input waveform. In another embodiment, position data is retained to indicate the relative position of retained data samples as compared to the position of other retained data samples. This position data may be calculated at a frequency that is less than the frequency of the sampled data.
Owner:MEDTRONIC INC
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products