186 results about "Random coding" patented technology

A system and method for generating action cues and recommendations for provision to an electronic device are provided. Context data associated with an electronic device and derived from one or more of sensor data, device state data, and application data is received, and a profile for the electronic device or a user thereof is defined using the context data, representing probability distribution. A selected action from a plurality of actions executable at the electronic device is identified using the profile, and a cue is returned to the electronic device for execution. The profile may be constructed as a factor graph representation using random coding techniques.

A planar structured light three dimension measuring device and method for a high-reflectivity part relate to the field of three dimension optical measurement and aim to solve the problems of large size and slow measuring speed due to the complex structure of the existing device. The planar structured light three dimension measuring device comprises a blue laser source system, a structured light pattern generation system, a synchronous control circuit, an image collection system and a computer. The device has the advantages of small size, light weight, fast projecting speed and the like. The phenomena of local mirror reflection, mutual reflection and direction reflection and the like at the part surface are effectively inhibited by the projecting random or pseudo random coding patterns and two groups of periodically, forwardly and reversely changed black and white strip patterns, the sub pixel point match of two images shot by left and right cameras are fast realized, and the efficient measurement of the high-reflectivity part is finished. The planar structured light three dimension measuring device and method for the high-reflectivity part is suitable for the planar structured light three dimension measurement of the high-reflectivity part.

The invention discloses a construction method of a neural network model for realizing image classification. The construction method comprises the following steps: S1, constructing a unit structure search network, a system structure search network, an image training set and a random coding array; s2, generating a neural network model by using the unit structure search network, the system structuresearch network and the random coding array; s3, inputting the image training set into a neural network model to obtain an actual classification result; s4, judging whether an actual classification result meets a preset condition or not, and if not, performing a step S5; s5, updating the unit structure search network and the system structure search network according to the actual classification result and the theoretical classification of the image training set; s6, repeating S2; And S5, until the actual classification result obtained in the step S4 meets the preset condition. According to themethod disclosed by the invention, an original search space is converted into two spaces, namely a unit structure search space and an architecture search space, the optimal architecture of the architecture is searched in an automatic learning manner, and the flexibility of the generated model architecture is enhanced.

Provided is a method for processing seismic data. One exemplary embodiment includes the steps of obtaining a plurality of initial subsurface images; decomposing each of the initial subsurface images into components; identifying a set of components comprising one of (i) components having at least one substantially similar characteristic across the plurality of initial subsurface images, and (ii) components having substantially dissimilar characteristics across the plurality of initial subsurface images; and generating an enhanced subsurface image using the identified set of components. Each of the initial subsurface images is generated using a unique random set of encoding functions.

The present invention relates to an encoding frequency-hopping high-resolution distance-measuring speed-measuring method and radar. In particular, it is applicable to automobile anti-collision radar and police speed-measuring radar, and can be substituted for infrared alarm to make all-weather real-time safety supervisory control for large-range sensitive area. Said invention also provides the concrete steps of said distance-measuring and speed-measuring method, and can make several radars have strong anti-interference power when they are simultaneously worked.

The invention discloses a photon counting laser radar based on composite pseudo-random coding. The photon counting laser radar is composed of a signal generator, a light intensity modulation device, alaser device, a beam splitter prism, a circulator, an optical system, a scanner, a GM-APD single-photon detector, a photodiode, a photon counting module, and a signal processing module. An overall structure of a transmitting-receiving-same-path type optical reduced system is employed and a scanner is used for carry out scanning and transmitting a laser pulse string, so that the field angle of thelaser radar is extended. After processing on a laser signal transmitted by an optical system by the beam splitter prism, one part of the signal irradiates the photodiode directly to form a light trigger signal and the other part of signal is scanned by the scanner and then the scanned signal is irradiated on a target; an echo signal reflected by the target enters the scanner, the processed signalreturns to a second port of the circulator by the optical signal and enters the GM-APD single-photon detector through a third port of the circulator; the GM-APD single-photon detector records an echosequence and generates a stopping signal; and a detection result recorded by the photon counting module is transmitted to the signal processing module for follow-up processing and flight time of a pulse string is obtained.

Easily implemented randomization within a flash memory EEPROM reduces the NAND string resistance effect, program disturbs, user read disturbs, and floating gate to floating gate coupling that result from repeated and long term storage of specific data patterns. The randomization may be code generated pseudo randomization or user driven randomization in different embodiments. User driven commands, the timing of which cannot be predicted may be used to trigger and achieve a high level of randomization. Randomly altering the encoding scheme of the data prevents repeated and long term storage of specific data patterns. Even if a user wishes to store the same information for long periods, or to repeatedly store it, it will be randomly encoded with different encoding schemes, and the data pattern will therefore be varied.

The invention relates to a wireless sensor network multi-path routing method based on network coding, and belongs to the field of wireless sensor network communication. The wireless sensor network multi-path routing method based on the network coding is characterized in that paths between any source node to a destination node are ranked according to the size of path advantages from large to small according to path advantage values based on coding priority nodes, priority selection paths are provided, and I (I>=K) coding data packages formed by K original data packages and sent by source nodes are transmitted in the mode of one-to-one correspondence with the priority selection paths. Firstly, in the data transmitting process of data coded by the source nodes, one coding advantage node is a multi-path interesting point, random coding is carried out on input coded data again, coded numbers indicating the nodes to be receiving nodes in a routing list are taken out, coding coefficients in the second-time coded data marked with the other intermediate nodes or destination node addresses of a lower layer are then decoded and output downstream, and the rest nodes are done in the same way until the destination node is output. The wireless sensor network multi-path routing method based on the network coding combines the network coding and multi-path selection and is good in effect.

The invention includes a method for reducing noise in migration of seismic data, particularly advantageous for imaging by simultaneous encoded source reverse-time migration (SS-RTM). One example embodiment includes the steps of obtaining a plurality of initial subsurface images; decomposing each of the initial subsurface images into components; identifying a set of components comprising one of (i) components having at least one substantially similar characteristic across the plurality of initial subsurface images, and (ii) components having substantially dissimilar characteristics across the plurality of initial subsurface images; and generating an enhanced subsurface image using the identified set of components. For SS-RTM, each of the initial subsurface images is generated by migrating several sources simultaneously using a unique random set of encoding functions. Another embodiment of the invention uses SS-RTM for velocity model building.

The invention discloses a method for detecting deep geology and sulfide ore resources, the method comprises the steps of: transmitting a pseudo random transmitting waveform to underground by a transmitting device, propagating back to the ground through underground mediums, observing and collecting electromagnetic field response signals by a receiver; analyzing the correlation of electromagnetic field response signals observed by the receiver and the transmitting waveform, deconvolution identifying and extracting an earth impulse response signal stimulated by the pseudo random transmitting waveform, calculating an apparent resistivity and a polarizability phase; processing data and obtaining the polarizability phase with high resolution and electrical property fine structure which are reflecting deep resources. According to the method for detecting deep geology and sulfide ore resources disclosed in the invention, interference is deconvolution suppressed by using a pseudo random encoding current signal transmission of an electrical prospecting apparatus, observed electromagnetic field responses and emission current signals, the apparent resistivity and excitation polarization methodphase are calculated, investigation and detection of deep geology and sulfide ore resources are achieved, investigation accuracy of deep sulfide ore is greatly improved, and actual popularization andapplication are facilitated.

A wavefront sensor and a wavefront measuring method are disclosed. The wavefront sensor comprises a two-dimensional random coding mixing raster and a detector, wherein the two-dimensional random coding mixing raster comprises a random coding amplitude raster and a chessboard type phase raster. The pixel dimension of the random coding amplitude raster, the processing difficulty is reduced, and the wavefront measuring precision is not affected.

The invention discloses a device and a method for identifying gestures through compressed infrared sensing. According to the device for identifying the gestures, a pyroelectricity infrared sensor array visibly modulates a sub field-of-view in a Fresnel lens installed in front of a pyroelectric sensor by means of a random coding mode to randomly compress and project high-dimensional infrared radiation states generated by gesture motions into low-dimensional pyroelectricity infrared sensing array measurement space, so that characteristics of the gesture motions are obtained. According to the method for identifying the gestures, each semantic motion characteristic sequence with special actions is subjected to characteristic parameter estimation by means of vector quantization, a codebook is distributed to each characteristic sequence through training data and used as a semantic expression template, and test data are subjected to decision making by means of a classifier to express semanteme, so that the gesture actions are distinguished. By means of compressed infrared sensing, the gesture motion characteristics are obtained, generation and processing progresses of redundant and invalid information are effectively avoided, complexity and hardware costs of a sensing system are obviously reduced, and a light weight gesture identification algorithm is supported.

The invention belongs to the filed of image matching of coding structured light active visual sense in machine visual sense, in particular to a feather point matching method based on the colored false random coding projection. The invention is based on a false random coding principle, and designs a novel colored coding projection template by using a point and line combined method. The method comprises the following concrete steps: 1. generating a false random sequence from a0, a1 to an by a feedback network n-displacement bit register specified by a primitive polynomial h(x)=xm+hm-1xm-1+...+h1x+h0; 2. filling the false random sequence from a0, a1 to an into a matrix with the size of n=n1*n2 for generating a false random array b; and 3. using the generated array values as the discrete feather points, connecting the feather points by a feather line, and establishing a coding template. The invention introduces a morphological algorithm, and provides the extraction algorithm of the relevant feather points. In the decoding process, the invention provides the thought of mutual verification of adjacent windows, can realize the automatic extraction and matching of the feature points, and can perfectly solve the problem of shadow generation during the projection of the structural light on the surface of the complicated three-dimensional scenes and the problem of mistake feather point matching caused by that parts of coding patterns are covered because the shooting angles of a video camera are different.

The present invention discloses a two-dimensional absolute displacement encoder, which comprises a light path system and an FPGA signal processing system. The light path system comprises a parallel light source, a two-dimensional absolute encoding code channel, an imaging lens group, an aperture diaphragm and an image sensor. The two-dimensional absolute encoding code channel is placed on a to-be-measured plane, and is composed of code elements the same in size and encoded in the pseudo random coding mode, wherein the code elements are capable of reflecting the light or not capable of reflecting the light. The FPGA signal processing system mainly conducts the FPGA realization for the configuration of the image sensor, the reading of the image information, the median filtering and binarization treatment of images, the image cache, the code identification, the decoding algorithm and the like. Meanwhile, the FPGA signal processing system realizes the output of two-dimensional absolute position measurement values. The two-dimensional absolute displacement encoder has the advantages of simple structure and strong real-time property. The two-dimensional absolute displacement encoder can quickly decode and output a two-dimensional absolute position measurement value. The two-dimensional absolute displacement encoder can be widely applied to the absolute positioning and the precision measurement of a two-dimensional workbench and has a good practical application prospect.

The invention discloses a three-dimensional reconstruction method based on color pseudo-random coding structured light, comprising the following steps: projecting a preset color structured light pattern on a target object, wherein the color structured light pattern comprises a plurality of squares, and the colors of any two adjacent squares are different; on the premise of satisfying the binocularvision polar constraint, the odd lines of color structured light pattern are the same in color, and the even lines are the same in color; acquiring an object image in the step by using a camera; performing corner extraction of the target image; carrying out feature description and matching of the proposed corner points, and using a triangulation method to complete the three-dimensional reconstruction. The invention enhances surface information of an object in a three-dimensional scene. The experiment shows that the root-mean-square error of three-dimensional reconstruction of a planar objectis 0.36 mm on the premise that only one color structured light pattern is projected, and it is obvious that the three-dimensional reconstruction method of the invention has the advantages of higher accuracy, accuracy and effectiveness, and can be applied to three-dimensional reconstruction of an acolor object.

The invention relates to a receiver device of a high density electric method device, which is formed in the way that an upper computer is connected with a main controller and a three-channel 24-bit high speed analog-to-digital (A/D) synchronous conversion circuit. A high density electric method transmitter is connected with an electrode AB voltage collection conditioning circuit, the electrode ABvoltage collection conditioning circuit and an ABMN electrode port are respectively connected with an A electrode, a B electrode, an M electrode and an N electrode, the ABMN electrode port is connected with an electrode MN voltage collection conditioning circuit and respectively connected with an electrode 1, an electrode 2, an electrode 3... and an electrode N through an enhancement electrode conversion device. Compared with the prior art, the receiver device adopts the enhancement electrode conversion device, is capable of collecting any random coding wave form, synchronously collects analog signals of three channels, adds a collection channel for measuring AB electrode voltage, improves flexibility of the any random coding wave form and data analyzing processing accuracy, adds a port of an ABMN electrode collection channel, flexibly arranges and combines various electric method collection methods, improves detection depth, is convenient, improves efficiency and saves working time and outdoor measuring cost.

The invention provides an ultra-wideband pseudo-random encoding radar system. According to the system, a signal output from a transmitting channel is divided into two signals; one encoded signal is transmitted out by an antenna; the other encoded signal is directly acquired by a first receiving channel as a reference signal for use in pulse compression. Therefore, the fact that the two signals are generated and acquired at the same temperature can be guaranteed, uniformity of the two signals is guaranteed, post-pulse-compression peak-to-sidelobe ratio is increased, and the system has a wider detection range and higher detection probability.

The invention provides a transceiver networking radar autonomous time synchronizing system based on a pseudo random coding signal and a method thereof. The method comprises the steps of generating a sampling clock signal and a pulse repetition frequency signal which are required for radar transmission, thereby generating a radar synchronization signal, performing power amplification and radiating,wherein the radar synchronization signal comprises a monopulse signal, a short-code-element m-sequence modulating signal and a long-code-element m-sequence modulating signal; performing preprocessingand sampling on the received radar synchronizing signal, performing pulse compression processing on the direct wave signals of the short-code-element m-sequence modulating signal and the long-code-element m-sequence modulating signal, and calculating a highest value of a respective pulse response function; and calculating the time interval of the highest value of two or more adjacent long-code-element pulse response functions, and using the reciprocal of the time interval as the pulse repetition rate of the radar transmitting signal. The transceiver networking radar autonomous time synchronizing system and the method thereof can realize nanosecond-grade synchronizing precision and furthermore have advantages of low cost, low power consumption, high signal-to-noise ratio, high interferenceresistance, simple system structure, etc.

The present invention relates to a reconstructed low-frequency data frequency domain full-waveform inversion method based on a convolution idea and an accurate earthquake source. The method comprisesthe steps that: a reliable earthquake source function is inverted by employing direct wave components of observation data; low-frequency data of self-excited self-closing points is reconstructed basedon the convolution idea; and finally, the reconstructed data is applied to perform a low-frequency starting part of multi-scale full-waveform inversion to allow the inversion to have a good beginningand finally obtain a good result. The method provided by the invention effectively avoids occurrence of cycle skips, so that the inversion result is greatly improved, and minimum convergence of various errors is effectively recovered. An idea of a supergun of dynamic random coding is employed at the final inversion part, so that the efficiency of the full-waveform inversion is effectively improved. The reconstructed low-frequency information of the self-excited self-closing points are low-frequency information on the aspect of mathematics to provide large-scale disturbance for the full-waveform inversion, are real low-frequency information on the aspect of objective physics, and can be used for other data processing directions.

The invention discloses a scattering-controllable random coding meta-surface which is composed of coding units with a discrete reflection phase arranged according to a preset rule. The preset rule is specifically a hybrid coding matrix formed through superposition of a random coding matrix and a periodic coding matrix. The invention further discloses a scattering control method of the random coding meta-surface, which can be used to control and predict the scattering direction. The size of a random scattering distribution area can be controlled effectively, and thus, the amount of information carried can be controlled. A scattering image produced in the invention can be compared to the concept of electron cloud in quantum mechanics, contains a specific physical mechanism, and has a unique relationship with information coding. Predictably, the scope and quality of compressed radar imaging can be improved, and the meta-surface has a huge impact on conventional reflection materials and diffuse reflection materials based on microwave, optical frequency band and even acoustic frequency band.

The invention relates to a passive decoy state modulation reference system independent quantum key distribution system and method, and belongs to the technical field of quantum cryptography. The system comprises a transmitting end Alice signal preparation device and a Bob signal receiving and measuring device, wherein the transmitting end Alice signal preparation device comprises two pulse lasers Laser1 and Laser2, a beam splitter BS, a coding module and a threshold single-photon detector D0. The method comprises the following steps: describing QKD system parameters, and calculating a probability distribution rule of an Alice output signal of the transmitting end to determine a decoy state marking condition; respectively inputting a signal state and a decoy state into a coding module for modulation, wherein the coding module randomly selects one of three groups of mutually unbiased bases and codes key information on two intrinsic quantum states of each group of bases, a random coding mode is adopted and the result is sent to a receiving end Bob for measurement, base pairing screening, error correction and confidential amplification. The capability of the system for resisting rotation of a reference system is improved, and the overall key distribution performance is improved.

The invention discloses a passive dynamic network topology chromatography method based on network coding, which includes the following steps: intermediate nodes of a network select local random coding vectors respectively in a common limited domain, and the local random coding vectors are collected into a code book through an information source to be spread to information sink nodes; the information sink nodes utilize error correction codes to calculate candidate initialization vector collection of the whole network topology according to received information matrixes; and the intermediate nodes of the network utilize the code book and the candidate initialization vector collection to calculate and judge connectivity of an upstream link until the information source layer by layer to obtain a network topology structure. The method can achieve passive network topology chromatography without additional increase of network throughput overhead, furthermore can detect dynamic variation of the network topology, and achieves the topology chromatography of dynamic network environment.

The present disclosure discloses a method of generating a random coded pattern for coding structured light. According to the method, under a certain distribution rule, coding primitives are added one by one using a random probability distribution map, thereby generating a random coded pattern satisfying a distribution requirement of window uniqueness; the random coded pattern may be used independently as a structured light encoded pattern or may be spliced and expanded from basic image elements as the structured light coded pattern. The structured light coded pattern obtained from the method is projected by a projecting device according to a certain field of angle, which may perform spatial coding and feature calibration to the three-dimensional space or a target object, for depth identification. The present disclosure also discloses an apparatus for generating a random coded pattern for coding structured light. The random coded pattern generated by the method or apparatus of the present disclosure has a high randomness and supports a plurality of coding primitives of different shape sizes, such that the identification issues of monocular, binocular or multi-view matching during a depth decoding process may be solved.

The invention discloses a high data rate direct sequence spread spectrum coding and decoding method. The coding method comprises steps that, firstly, a to-be-transmitted information value is taken as an initial value of an n-level linear feedback shift register generating PN codes; at least two m sequence codes generated by the n-level linear feedback shift register are taken as a pseudo random coding sequence; a synchronization code +information code data frame structure is employed for coding; during decoding, a sliding correlation method is employed to search a correlation peak of a synchronization sequence, after an address of the synchronization sequence with the correlation peak having the largest absolute value is acquired, an initial address of an information sequence starts, correlation operation is carried out through selecting one complete information sequence, the carried information value can be calculated according to an address of the information sequence with a correlation peak having the largest absolute value, and decoding is finished. Through the method, m-sequence n-bit information carrying is realized, under the condition of the same transmission bandwidth, the information transmission rate is enhanced by about 0.9n times.