40results about How to "Reduce data bandwidth" patented technology

An integrated application specific integrated circuit having a detection layer, a time delayed integration capability, data acquisition electronics, and a readout function is provided for detecting breast cancer in women. The detection layer receives x-ray radiation and converts the received energy to electron pairs, one of which is received by pixels. The time delay integration is on the chip and a part of the readout architecture. The detector may be a hybrid silicon detector (SiPD), a CdZnTe detector, or a GaAs detector.

The invention discloses a method and a device for image composition display of multi-layer and multi-format input. The method and the device are characterized by first performing composition anticipation of each layer respectively through a prefetching module, reading data according to anticipation results, realizing image merging of the layers on a pixel-by-pixel basis through an image merging module during display. The method and device significantly reduce a demand of the image composition for data bandwidth through the intelligent anticipation of the prefetching module.

This invention relates to ARQ mechanism for data link layer error control in the wireless data communication system, and reforms the unreliable wireless physical link into the reliable data logical link to provide the reliable data transmission sphere for the network layer. Compared with the existing ARQ mechanism, this invention greatly increases the acknowledgement rate, yet does not reduce thethroughput rate, greatly lowers the data band-width of acknowledgement, and therefore more data band-width can send the backward data to support two-way data transmission. By fixing the length bit map and relative bias, in accordance with error data PDU distribution, this invention automatically select the acknowledgement type with the highest acknowledgement efficiency to confirm the part of data PDU that need the most acknowlegement in the reception window.

The present invention relates to a method for reducing data bandwidth between a cloud server and a thin client. The method comprises: rendering a base layer image or video stream at the thin client, transmitting an enhancement layer image or video stream from the cloud server to the thin client, displaying a composite layer image or video stream on the thin client, the composite layer being based on the base layer and the enhancement layer.

The invention puts forward a neural network processor based on efficient multiplex data stream, and a design method, and relates to the technical field of the hardware acceleration of neural network model calculation. The processor compares at least one storage unit, at least one calculation unit and a control unit, wherein the at least one storage unit is used for storing an operation instruction and arithmetic data; the at least one calculation unit is used for executing neural network calculation; and the control unit is connected with the at least one storage unit and the at least one calculation unit for obtaining the operation instruction stored by the at least one storage unit via the at least one storage unit, and analyzing the operation instruction to control the at least one calculation unit, wherein the arithmetic data adopts a form of the efficient multiplex data stream. By use of the processor, the efficient multiplex data stream is adopted in a neural network processing process, a weight and data only need to be loaded into one row of calculation unit in a calculation unit array each time, the bandwidth of data on chip is lowered, a data sharing rate is improved, and energy efficiency is improved.

The invention provides nonvolatile storage equipment and a method of carrying out data manipulation therethrough. The method comprises the following steps of receiving specific operating commands which are transmitted from a host end and are other data manipulation commands except for read-write operating commands; converting the specific operating commands into the read-write operating commands of a nonvolatile storage device, and reading or writing data from or into the nonvolatile storage device according to the read-write operating commands; carrying out specific operations corresponding to the specific operating commands on the read or write data stream, and returning operating result data to the host end. Except for read and write operations, other operations are carried out on the data through the nonvolatile storage equipment, so that a data processing method and a data processing flow are changed; the operating command of a data content is completed by utilizing the processing capacity of a chip controller in the nonvolatile storage equipment, so that the data bandwidth is effectively saved, the utilization rate of the bandwidth of a port is increased, and the load of a CPU (Central Processing Unit) on the host end is reduced. In the specification, a flash is taken as an embodiment of the nonvolatile storage device, but the right of the invention is not considered to be limited to the flash.

The invention provides a video data processing method and device and an electronic system. The video data processing method comprises the following steps: dividing a target video into a key frame anda common frame; for the key frame, inputting the key frame into the task model, and outputting a calculation result of the key frame; for the common frame, obtaining a mask between the common frame and the reference key frame, wherein the mask has a foreground motion area and a background static area, and the reference key frame is the key frame closest to the common frame; determining a feature region corresponding to the common frame according to the foreground motion region of the mask; and obtaining a calculation result of the common frame according to the reference key frame, the featureregion and the task model. According to the video data processing method, common features are not completely input into the task model, and only the feature region is input into the task model, so that the calculation amount of the neural network can be reduced, and the data bandwidth and the power consumption can be reduced, and real-time calculation can be realized on the basis of keeping the convolution calculation effect not to be reduced.

A method of communicating speech across a communication link using very low digital data bandwidth is disclosed, having the steps of: translating speech into text at a source terminal; communicating the text across the communication link to a destination terminal; and translating the text into reproduced speech at the destination terminal. In a preferred embodiment, a speech profile corresponding to the speaker is used to reproduce the speech at the destination terminal so that the reproduced speech more closely approximates the original speech of the speaker. A default voice profile is used to recreate speech when a user profile is unavailable. User specific profiles can be created during training prior to communication or can be created during communication from actual speech. The user profiles can be updated to improve accuracy of recognition and to enhance reproduction of speech. The updated user profiles are transmitted to the destination terminals as needed.

The invention provides a prediction method applied to a neural network chip and an apparatus thereof, a server and a readable storage medium. The method comprises the following steps of dividing M output data of a current layer and acquiring M output data distribution intervals of the current layer; carrying out statistics on the output data in each output data distribution interval of the M output data distribution intervals and acquiring a ratio of a number of the output data in each output data distribution interval and a total number of the M output data; based on the ratio corresponding to the M output data distribution intervals and a preset bit width, carrying out a bit width constraint on the M output data and acquiring a first initial bit and a first termination bit of N distribution intervals of the M output data distribution intervals; and based on the first initial bit and the first termination bit, carrying out bit width constraint on the M output data of the current layer so as to realize prediction of the neural network chip. In the invention, a data bandwidth is reduced and calculating efficiency is further increased.

The invention discloses detachable portable equipment and designing project to optimize the data communication using the progressive transmission. The scheme includes: detachable host machine and terminal, and the host machine cooperates with the terminal via the wireless communication mode, the communication mode includes but not limits to optimize the original data transmitted by progressive transmission. The invention is applicable to the portable electric device, for example: mobile phone, personal digital assistant, media player, digital camera, video camera and portable computer. Using the wireless communication mode to detach the host machine and the terminal of portable electric device, it changes the restrict environment of biokinetics for the electric device, and make the portable electric device has great handling ability, agile portability, and comfortable handle operation. Using the progressive transmission, it can reduce the transmission of failure data in the data communication, and realizes a data communication which can save data bandwidth, improve the real time of data, and protect the accuracy of data.

The invention discloses a large-scale image data processing system and method. The system comprises the components of: a high-speed visual chip core processing module used for carrying out hierarchical multi-stage parallel deep learning algorithm processing on input image data and comprising a processing core module and a processing block array, the processing block array comprises M * N processing blocks which are connected and configurable, M and N are positive integers, and each processing block comprises a micro-processing unit array; wherein the processing core module is used for connection configuration, operation control and state monitoring of the whole processing block array, and can realize global image data processing; wherein each processing block in the processing block arrayis used for parallel processing of various images with different resolutions; wherein the micro-processing unit array comprises P micro-processing units, and P is a positive integer and is used for realizing parallel processing of pixel-level data. The system has the comprehensive performances of simple structure, low power consumption, high energy efficiency, high data throughput rate and high target identification precision.

The invention discloses a method and device for dynamically allocating a physical address and an electronic device. The method comprises the following steps: detecting whether an event of dynamicallyallocating a physical address of data accessed by an application program occurs; According to the detection results of events, the time order of accessing data in the process of application program running is obtained; Obtaining a logical address of the data stored in advance in the application program according to the detection result of the event; According to the time order and logical addressof the data, the physical address is assigned to the data so that the physical address of the data corresponds to the time order. As such, that proportion of time the system spend accessing the storage as a contiguous physical address increase during the running of the application, thereby increasing the efficiency of the system storage access to the storage.

The invention relates to a data processing device and a related product. The system comprises a master processing unit and at least one slave processing unit group, and each slave processing unit group comprises a shared slave processing unit and at least one parallel slave processing unit; and the master processing unit is used for sending shared data to the shared slave processing units and sending parallel computing data to the parallel slave processing units. The shared slave processing unit transmits the shared data to each parallel slave processing unit, and the parallel slave processingunits respectively receive parallel computing data in two clock periods and transmit the parallel computing data to other parallel slave processing units step by step. According to the data processing device and the related product provided in the invention, the machine learning data is split into the shared data and the parallel computing data, data interaction between the master processing unitand the slave processing unit is realized through two clock periods, the data bandwidth occupied by data interaction between the master processing unit and the slave processing unit is reduced, and the hardware overhead of a machine learning chip for transmission is further reduced.

A radar system is disclosed for detecting profiles of objects, particularly in a vicinity of a machine work tool. The radar system uses a direct digital synthesiser to generate an intermediate frequency off-set frequency. It also uses an up-converter comprising a quadrature mixer, single-side mixer or complex mixer to add the off-set frequency to the transmitted frequency. It further uses a down-converter in the receive path driven by the off-set frequency as a local oscillator. The radar system enables received information to be transferred to the intermediate frequency. This in turn can be sampled synchronously in such a way as to provide a complex data stream carrying amplitude and phase information. The radar system is implementable with a single transmit channel and a single receive channel.

The present invention provides a signal prolonging system. The system comprises a transmitting end chip and a receiving end chip connected with the transmitting end chip; the transmitting end chip is used for receiving high-definition video data, sequentially performing color space conversion processing, shallowness compression processing and parallel-to-serial encoding processing on the high-definition video data, and sending the high-definition video data to the receiving end chip; and the receiving end chip is used for receiving the high-definition video data sent by the transmitting end chip, performing parallel-to-serial encoding processing, shallowness compression processing and color space conversion processing on the received high-definition video data and outputting the high-definition video data to a display device for playing the high-definition video data. With the signal prolonging system adopted, the transmission distance of the high-definition video data can be prolonged.

The invention discloses a three-dimensional model loading method. The method comprises the following steps: establishing a corresponding relationship between each part in a generated three-dimensionalmodel part package and each part of position information in a three-dimensional model description file by utilizing identity recognition information of the part, restoring each part in the three-dimensional model part package to a corresponding position in the three-dimensional model to obtain a displayable original three-dimensional model, the generated three-dimensional model part package comprising different parts disassembled from the three-dimensional model and identity recognition information set for each part; wherein the three-dimensional model description file comprises identity recognition information of each part and position information of the corresponding part in the three-dimensional model. According to the three-dimensional model loading method disclosed by the invention,the size of the three-dimensional model part package is reduced, and the model loading efficiency is improved. The invention further discloses a three-dimensional model loading device, a three-dimensional model splitting method and device, a three-dimensional model splitting and loading method and system and electronic equipment.