47 results about "Reconfiguration algorithm" patented technology

The present invention relates to a method and arrangements to achieve a dynamic and efficient resource distribution policy in packet based communication networks applying service differentiation and packet scheduling. The method initially allocates for each traffic class a certain share of the available resources, e.g. in terms of a share of the transmission bandwidth. The actual traffic shares for each of the traffic classes are monitored and compared to the assigned shares. If the monitored traffic shares does not correspond to the assigned shares a reconfiguration algorithm is started that equalizes resources according to the actual need. The new resource distribution policy is then distributed to the affected network nodes by means of a sequence of Load Control refresh packets where the shares of packets that belong to the various traffic classes correspond to the resource shares that are assigned to these traffic classes in the new resource distribution policy.

Described are computer-based methods and apparatuses, including computer program products, for dynamic deduplication. Data is processed using an algorithm that deduplicates the data based on a first set of parameters. A first moving average of a first deduplication performance metric is calculated for the algorithm over a time period. A second moving average of a second deduplication performance metric is calculated for the algorithm over the time period. It is determined that the first moving average satisfies a first criterion, the second moving average satisfies a second criterion, or both. The algorithm is reconfigured based on a second set of parameters to deduplicate data.

The invention discloses a method for forecasting wind speed of a high speed railway line by combining a wavelet analysis method and a BP (Back Propagation) neural network. In the invention, actually measured wind speed data is subjected to multilayered decomposition and reconfigurable computing through the decomposition of wavelet analysis and a reconfiguration algorithm so as to decompose an original wind speed sequence into wind speed sequences of different scales. The method comprises the following steps of: normalizing all layers of decomposed wind speed sequences; training the neural network by utilizing an error BP (Back Propagation) learning algorithm until converging; respectively establishing corresponding forecasting models for the wind speed sequences of all the layers for forecasting; and finally, carrying out reconfigurable computing on wind speed forecasting values of all the layers to obtain a forecasting value of the original wind speed sequence. The invention overcomes the defects of low forecasting precision, too large time interval, and the like of a traditional method, realizes the wind speed forecasting of a high speed railway line under various climate types, has the advantages of short computing time and high forecasting precision and provides a scientific reference for formulating operation control regulations of the high speed railway.

A Centralized Resource Management (CRM) system that supports the sharing of all the transponders in a WXC node, i.e., any spare transponder can be reconfigured to accommodate any drop channel, regardless of wavelength or input port. Consequently, network restoration in case of network failures is supported as well as the ability to reconfigure as a result of dynamic traffic requirements in the network. CRM advantageously is applied to conventional WXC node as well as WSS-based WXC nodes in the WDM networks. Three CTM schemes which manage the transponders in the WSS-based WXC node are described along with reconfiguration algorithms for an optical switchless CRM solution.

A Centralized Resource Management (CRM) system that supports the sharing of all the transponders in a WXC node, i.e., any spare transponder can be reconfigured to accommodate any drop channel, regardless of wavelength or input port. Consequently, network restoration in case of network failures is supported as well as the ability to reconfigure as a result of dynamic traffic requirements in the network. CRM advantageously is applied to conventional WXC node as well as WSS-based WXC nodes in the WDM networks. Three CTM schemes which manage the transponders in the WSS-based WXC node are described along with reconfiguration algorithms for an optical switchless CRM solution.

The invention relates to a method for separating single-channel mixed voice based on compressed sensing and kernel singular value decomposition (K-SVD), which comprises the following steps of: constructing a universally applicable overcomplete dictionary, namely a K-SVD dictionary for each of three types of man-man, man-woman and woman-woman mixed training voice by using a K-SVD algorithm throughmixed training voice frames; making a signal sparse under the dictionary while a reconfiguration error is in a certain range; on the basis of the constructed K-SVD dictionary, starting from the similarity of compressed sensing observation and single-channel mixed voice expressions, separating the single-channel mixed voice by using a l0-norm optimization-based signal reconfiguration algorithm in a compressed sensing theory; solving the estimation of sparse representation of each source voice frame under the K-SVD dictionary on the basis of the expression of each single-channel mixed voice frame, and reconfiguring each separated voice frame through the estimation of the sparse representation and the K-SVD dictionary; and sequentially connecting the separated voice frames to acquire a separated voice signal.

The invention discloses a pulse UWB (Ultra Wide Band) communication system based on a CS (Compressed Sensing) theory. A digital signal (X) transmitted by a transmitting terminal is effectively observed by introducing signal detection in the CS theory through a sparse algorithm in a digital signal processor, combining a random precoding module added at the transmitting terminal and matching with apulse generating module, a UWB channel and a low-speed sampler, and a common recovery reconfiguration algorithm in the CS theory is utilized to recover and reconstruct the digital signal (X) and realize communication. In the communication system provided by the invention, a plurality of parallel correlators and low-speed samplers needed in a first parallel scheme are not needed at a receiving terminal so that the problem of high hardware implementation complexity in the parallel scheme is solved; meanwhile, the low-speed sampler is directly used at the receiving terminal for sampling, and an analogue information converter is not used, so that the influence of the causality of a low-pass filter in the analogue information converter on observation is avoided and the problem of sparse observation matrix caused by the causality in a serial scheme is solved.

The invention discloses a method for improving an erasure code based storage cluster recovery performance. The method comprises that a reconfiguration control node sends reconfiguration read requests to reconfiguration source nodes and sends reconfiguration write requests to reconfiguration destination nodes simultaneously, all reconfiguration source nodes implement reconfiguration read optimization according to reconfiguration read requests, all reconfiguration destination nodes implement reconfiguration write optimization according to reconfiguration write requests simultaneously, all reconfiguration source nodes read data participating in reconfiguration of this time from a disc respectively and divide the data into a plurality of data blocks respectively, all reconfiguration source nodes transmit the plurality of data blocks to corresponding reconfiguration destination nodes simultaneously through networks respectively, all reconfiguration destination nodes adopt a reconfiguration algorithm to reconfigure received data blocks coming from all reconfiguration source nodes respectively, and all reconfiguration destination nodes return data blocks obtained through reconfiguration to a client side respectively. By the aid of the method, the problem of transmission of a large amount of additional data caused by existing centralized decoding methods can be solved.

The invention provides a video key frame abstract extraction method based on neighbor maintenance and reconfiguration. The video key frame abstract extraction method comprises the following steps: obtaining a video from a video database, and taking the video as a target video of a key frame abstract to be extracted; aiming at each target video, extracting each frame picture in the video to be used as an alternative picture library of the video key frame abstract; obtain global characteristics and partial characteristics of each frame picture from the alternative picture library, and representing each frame picture as one vector; calculating the similarity between the frame pictures to obtain a neighbor relation between the frame pictures; selecting an optical key frame picture which comprises main content of the video and has the smallest redundant information from the alternative picture library by adopting a neighbor maintenance and reconfiguration algorithm; and extracting the selected key frame picture to form an abstract of the target video.

The invention discloses a wireless multimedia sensing network video signal adaptive sampling and spectrum allocation method. The method comprises the following steps of: acquiring the video of a video signal source by use of a wireless network video camera or a video acquisition card; regarding the first acquired video frame as a reference frame; testing the sparsity of pixel blocks by use of compression sampling; performing compression sampling of the sparse blocks of all pixel blocks in continuous non-reference frames and spatially corresponding to the previous reference frame, and performing traditional sampling of the remaining part; performing independent local spectrum measurement by each cognitive radio apparatus; converting the obtained analogue signals into sparse sampling signals; adaptively changing the sparse sampling signals, and transmitting to a fusion center; estimating the joint power spectrum density through a joint reconfiguration algorithm; separately performing energy detection to obtain corresponding spectrum judging results; and fusing all individual judging results according to OR logic by the fusion center so as to judge whether a master user exists in the observed frequency band.

The invention discloses a nonumiform frequency spectrum reconfiguration method of an orientation multi-beam synthetic aperture radar, belonging to a processing technology of synthetic aperture radar signals and solving the problems of high imaging false rate and poor imaging quality of nonuniform sampling signals. The method comprises the following steps of: (1) establishing a periodical nonuniform sampling echo signal model; (2) deducing a frequency spectrum reconfiguration algorithm of an orientation multi-beam SAR nonuniform sampling signal based on the FrFT frequency spectrum theory; (3) reestablishing a nonuniform sampling signal frequency spectrum into a uniform sampling signal frequency spectrum; and (4) imaging the uniform sampling signal frequency spectrum and realizing two-dimensional focus imaging of an orientation multi-beam SAR by a CS algorithm. The invention can not only greatly reduce the false rate of the nonuniform sampling signal imaging of the orientation multi-beam synthetic aperture radar, but also greatly improve the imaging quality.

The invention discloses a measurement method for time-varying non-stationary network flow and belongs to the technical field of networks. A singular value decomposes historical flow to obtain an orthogonal basis matrix to replace a sparse base. A mode that a novel network tomography model is constructed through a gauss stochastic matrix is adopted to describe the flow from a source router to an objective router and a relation between a route choice and a link circuit load. The highly ill-conditioned problem of end-to-end flow reconfiguration can be converted to a convex optimization problem which can be solved by compressed sensing, and the application of a compressed sensing reconfiguration algorithm can accurately reconstruct the end-to-end flow. According to the measurement method for the time-varying non-stationary network flow, the end-to-end flow is reconstructed to conduct network operation such as network planning, route planning, novel routing protocol performance evaluation and network fault analysis.

Described are computer-based methods and apparatuses, including computer program products, for dynamic deduplication. Data is processed using an algorithm that deduplicates the data based on a first set of parameters. A first moving average of a first deduplication performance metric is calculated for the algorithm over a time period. A second moving average of a second deduplication performance metric is calculated for the algorithm over the time period. It is determined that the first moving average satisfies a first criterion, the second moving average satisfies a second criterion, or both. The algorithm is reconfigured based on a second set of parameters to deduplicate data.

The invention discloses a multi-strategy image fusion method under a compressed sensing framework, mainly solving the problems of large calculated amount, high time complexity and large storage space of the traditional image fusion method. The multi-strategy image fusion method comprises the following implementation processes: inputting original images A and B and dividing the original images A and B into local images X1 and X2 of C*C in size; respectively carrying out Fourier transformation on X1 an X2 to obtain coefficient matrixes y1 and y2; observing y1 and y2 respectively by adopting a Fourier coefficient low-frequency full variable-density observing model to obtain observation vectors f1 and f2; calculating harmonic coefficients H1 and H2 and frequency-spectrum matching degree S according to f1 and f2; selecting a threshold T and calculating a weighting coefficient; comparing the weighting coefficient, the threshold and the frequency-spectrum matching degree to calculate a fused observation vector f; and iterating the observation vector f for twenty times by using a Split Bregman reconfiguration algorithm to finally obtain a required fused image. Compared with the traditional fusion method, the multi-strategy image fusion method provided by the invention has the advantages of low calculation complexity and good fusion effect, and can be used for video tracking, target recognition and computer vision.

The invention discloses a singular value decomposition-based compressed sensing noisy signal reconfiguration system, which comprises (1) an initial module for running the system, namely an initial interface for running the system, (2) a compression module and (3) a reconfiguration module, wherein an original signal to be compressed is selected by using the compression module by a user; data compression is performed on the original signal by using an improved observation random matrix; the compression of the original signal is realized by multiplying the original signal by the improved observation random matrix; a compressed sensing signal is stored; the selected and compressed sensing signal is reconfigured by using the reconfiguration module by the user through a reconfiguration algorithm to form the original signal; the reconfigured original signal is a reconfigured signal; and meanwhile, the reconfiguration accuracy of the original signal and the reconfigured signal is obtained. The system has high reconfiguration accuracy, superior robustness and a wide application range.

The invention provides a satellite gyroscope group fault detection, separation and estimation method based on equivalence relation and wavelet transform numerical differentiation, relating to a security monitoring technology method of a movement gyroscope group in the aerospace field. The satellite gyroscope group fault detection, separation and estimation method provided by the invention comprises the following steps of: step 1, detecting whether a satellite inertia gyroscope assembly has a fault or not through an equivalence relation method, if the satellite inertia gyroscope group assembly has no fault, skipping to a new period, otherwise, carrying out step 2; step 2, if parameters output by a satellite posture system are four elements, directly entering a step 3; and if the parameters output by a satellite posture sensor are eulerian angles, converting into the four posture elements; step 3, obtaining numerical differentiations of the four posture elements through approximation analysis by using an algorithm based on the wavelet transform numerical differentiation; and step 4, approximately obtaining the faults of the satellite gyroscope sensor group through a reconfiguration algorithm, so as to detect, separate and estimate the faults. The satellite gyroscope group fault detection, separation and estimation method provided by the invention effectively reduces the calculation amount, can diagnose early-stage slowly varying faults, and is useful when the gyroscope sensors have the fault.

The invention relates to a scheduling method of a cluster type DC charging system of a reconfigurable annular bus, and belongs to the field of power and electron technologies and new energy automobilecharging infrastructures. The main application object of the scheduling method is a reconfigurable annular bus based cluster-type DC charging station; a vehicle entering the charging station is guided by the scheduling system so as to enter a reasonable parking space, so that the maximum advantage of the reconfigurable annular bus is played and efficient distribution of the charging power is realized. Meanwhile, when the concurrent charging number is big and the DC charging demands of all the connected electric vehicles cannot be met, the scheduling method automatically adjusts and reconstructs a bus section which is composed of multiple segmental buses based on the priority by adopting a translation reconfiguration algorithm, realizes optimal combination of charging modules and optimal power distribution. The scheduling scheme is combined with the reconfigurable annular bus; and compared with the existing technologies such as charging pile and flexible charge, the scheduling method can greatly reduce the number of linked switches and the system complexity.

The invention discloses a glutenite sedimentary facies seismic prediction method based on complete ensemble empirical mode decomposition. The method comprises the following steps that: S1: aiming at apost-stack three-dimensional seismic data volume, adopting a complete ensemble empirical mode decomposition method to decompose the seismic data into a plurality of natural mode function components;S2: adopting a reconfiguration algorithm to obtain each mode function component with certain frequency ingredients; S3: carrying out protection construction smooth filtering on each mode function component obtained by reconstruction in a time-space domain; S4: carrying out horizon seismic attribute extraction algorithm researching, and establishing a glutenite seismic facies identification mark; and S5: constructing a glutenite seismic facies sensitive characteristic parameter to realize glutenite sedimentary facies seismic prediction. By use of the glutenite sedimentary facies seismic prediction method based on the complete ensemble empirical mode decomposition, the inherent rich information of the seismic data is used, and a glutenite sedimentary facies prediction ability is improved.

The invention provides a method for solving a fault-tolerant upper bound of a reconfigurable multiprocessor array and belongs to the field of reconfiguration of the multiprocessor array. According to the method, processor units which are not usable logically are labeled in the processor array, local area reversal is carried out on adjacent rows which can cause misjudgment easily, the maximum usable logic column number is obtained, then the fault-tolerant upper bound is obtained, and then advantages and disadvantages of an existing reconfiguration algorithm are evaluated by using the fault-tolerant upper bound. By means of the method for solving the fault-tolerant upper bound of the reconfigurable multiprocessor array, the more accurate fault-tolerant upper bound is obtained, and therefore the advantages and the disadvantages of the existing reconfiguration algorithm can be evaluated more accurately; and the range of replaceable damaged processors is further limited, and therefore results can better conform to production reality.

The embodiment of the invention provides an Arduino-based dynamic displacement real-time collection system and method. The system comprises an Arduino microcontroller, an MEMS (Micro Electro Mechanical System) acceleration sensor, a safety data SD (Secure Digital) memory card and an SD memory card expansion board, wherein the MEMS acceleration sensor acquires an acceleration of a to-be-measured target; the Arduino microcontroller determines a displacement of the to-be-measured target according to the acceleration of the to-be-measured target and a built-in preset displacement reconfiguration algorithm; and the displacement of the to-be-measured target is stored through the SD memory card and the SD memory card expansion board. The displacement is reconfigured through the acceleration by use of the preset displacement reconfiguration algorithm, the quadratic integral of the acceleration is not needed, the displacement of the to-be-measured target can be determined more conveniently andrapidly without depending on any initial condition, boundary condition and structural dynamic characteristic. Meanwhile, the displacement of the to-be-measured target is stored through the SD memory card and the SD memory card expansion board, thus the problem that the displacement cannot be stored in an offline manner by an existing system is solved.

The invention provides a processing method, device and system for an overcomplete dictionary. The method comprises the steps that first reconfiguration electrocardio data calculated by using a currentovercomplete dictionary and a reconfiguration algorithm and received original electrocardio data are subjected to error value calculation; whether or not a current preset overcomplete dictionary still accords with a change rule of recent electrocardio data of a user can be known; if it is judged that an error value of the two kinds of data exceeds a preset error value, the latest original electrocardio data of the user is used for dictionary training, a replacement dictionary is generated and used for replacing a previous preset overcomplete dictionary, the replacement dictionary is reconfigured when compression electrocardio data of the user is received next time, the original electrocardio data of the user is precisely restored accordingly, and the occurrence probability of diagnostic errors of doctors is effectively lowered.

The invention relates to an off-axis digital holographic measurement device capable of flexible zooming, and the device is technically characterized in that a laser beam generated by a horizontal laser 1 is reflected by a first reflector 2, and an optical path is changed into a vertical path; the laser beam enters a beam-expanding collimation unit 3, and is reflected by a second reflector 4, and the optical path is changed into a horizontal optical path; and then the laser beam passes through an electric control zoom lens 5 and a microscopic objective lens 6 to enter a spectroscope, thereby generating two light waves, wherein one light wave is reflected by a plane mirror 8, and then serve as reference light to enter imaging equipment 10, and the other light wave is reflected by the surface of a measured object 9 and serves as objective light to enter the imaging equipment 10; the plane mirror 8 is adjusted so as to control the inclined angle between the reference light and the objective light, thereby enabling the objective light and the reference light to interfere with each other to generate an off-axis digital holographic image which is recorded by the imaging equipment 10; finally a numerical value reconfiguration algorithm is calculated and the information of the measured object. The device employs the electric control zoom lens 5, has a function of flexible zooming, avoids mechanical movement, greatly improves the adjustment speed and accuracy in an adjustment process of an amplification factor of a system, is compact and stable in structure, and can be used for the three-dimensional shape and appearance measurement of a micro-optic element, a microelectronic mechanical system and a micro-optical electro-mechanical system.

The invention relates to a method for implementing a low power hybrid Cache of an embedded device, belonging to the field of the hierarchical structure design of the computer memory. The method is performed in the embedded device and comprises the following steps of: configuring the initial states S0 of an instruction Cache and a data Cache, a standby high capacity state S1, a capacity competition state S2, a standby low capacity state S3 and a capacity adjustment state S4, respectively; establishing boundaries and a counter; whenever a program segment changes and a next program segment is started, determining the switching states and related settings of the instruction Cache and the data Cache by determining the following conditions one by one. With the method provided in the invention, once the program segment-based PBCRA reconfiguration algorithm of the method is adopted, the power consumption is reduced by 20.4%-41.7% with seldom increasing hardware; and the Cache jittering is reduced. Besides, as the number of paths of the instruction Cache and the number of paths of the data Cache are variable, the collision deletion can be reduced and the jittering can be avoided; therefore, the stable system operations are ensured.

The invention discloses a distribution network reconfiguration algorithm based on a network sub-dividing ring method. The distribution network reconfiguration algorithm based on the network sub-dividing ring method comprises the steps that 1, node state information and branch state information are read from a node txt document and a branch txt document; 2, a topological structure diagram is formed according to the read information, and a power network topological structure diagram is determined according to the connection relation between a branch and a node and relevant information; 3, judgment is conducted on whether a network is a correct network or not, and network judgment comprises the judgment of whether the network is an active network or not and the judgment of whether the network is a radial network or not; 4, by the adoption of the network sub-dividing ring method, sub-dividing is conducted on rings based on the current network state; 5, real-number encoding is conducted on the rings sub-divided in the fourth step; 6, the real-number encoding of all the ring sections are sequentially edited to be a chromosome, wherein correction of the chromosome is included; 7, a solution is obtained, and parameters such as size of network loss and on-off times are given. The distribution network reconfiguration algorithm based on the network sub-dividing ring method has the advantages that branch overloading and voltage exceeding are eliminated, feeder load is balanced, and the network loss is minimized.

The invention discloses a phased array structure health monitoring Lamb wave compression and reconfiguration method. The method comprises the steps of establishing a piezoelectric line array, directionally exciting and receiving a Lamb wave signal according to a phased array principle, carrying out sparse representation on an acquired Lamb wave response signal, projecting and transforming the signal by selecting a measuring matrix, establishing a reconfiguration algorithm so as to precisely restore the Lamb wave response signal, and comparing the restored Lamb wave response signal with an original signal. Based on the compression sensing principle, the data transmission amount is reduced, the efficacy of a sensor array is improved, and the precise reconfiguration of the Lamb wave signal acquired a phased array sensor array in a low sampling rate can be realized.

The invention provides a signal processing algorithm of a non-contact type vital sign monitoring system. The algorithm includes the following steps of firstly, sending two routes of orthorhombic heartbeat and breathe digital mixed signals, namely, the route-I signal and the route-Q signal, through the non-contact type vital sign monitoring system, and conducting arc tangent processing on the route-I signal and the route-Q signal to obtain orthorhombic demodulation signals; secondly, conducting waveform reconfiguration on the orthorhombic demodulation signals obtained in the first step through the waveform reconfiguration algorithm based on polynomial curve fitting so as to obtain movement trend term information waveforms in the orthorhombic demodulation signals; thirdly, filtering the movement trend term information waveforms obtained in the second step out of the orthorhombic demodulation signals obtained in the first step so as to obtain pre-processed orthorhombic demodulation signals. The trend term information is obtained by conducting fitting through the waveform reconfiguration algorithm based on polynomial curve fitting, and the interference caused by the trend term information can be effectively removed after the trend term information is filtered out of echo signals.

A method and apparatus for improving a performance of an antenna system. An influence network is generated for an array of elements in the antenna system using a reconfiguration algorithm. The influence network indicates an influence of an undesired event occurring at any element in the array of elements on a remaining portion of the array of elements given a current state of the array of elements. A relative ranking of vulnerability is created for elements in the array of elements based on the influence network. The reconfiguration algorithm is modified to take into account the relative ranking of vulnerability to form a modified reconfiguration algorithm. The antenna system using the modified reconfiguration algorithm to compensate for undesired events improves the performance of the antenna system.

The invention belongs to the technical field of attitude and orbit control, and relates to a method for implementing measurement on a high-frequency attitude of a spacecraft by utilizing a low-frequency attitude determination sensor. The method comprises the following steps of: S1, acquiring spacecraft original attitude estimated values by utilizing a conventional attitude determination method; S2, fusing N groups of spacecraft original attitude estimated values with different frequencies; S3, recovering high-frequency-band attitude data from the fused spacecraft original attitude estimated values. The method disclosed by the invention can implement spacecraft high-frequency attitude estimation only by the attitude determination sensor under a conventional sampling frequency, and can reachhigh accuracy; the method utilizes sparsity of a spacecraft high-frequency attitude quantity in a frequency domain; by a compressed sensing technology, the spacecraft high-frequency attitude data canbe recovered from low-frequency attitude measurement data; a simulation result proves that the method can measure a high-frequency attitude and has good robustness for an error. By adding the attitude determination sensor and improving a reconfiguration algorithm, accuracy of measuring the high-frequency attitude can be further improved.

The invention provides a DVFS-based optimal reconfiguration algorithm, and the main contribution of the method provided by the invention is as follows: the DVFS-based reconfiguration method can schedule user tasks according to the degree of parallelism of the user tasks so as to allow reconfiguration of more parallel user tasks, thereby achieving higher reliability. According to the heuristic approximation algorithm based on K-Means, the delay of a reconfiguration scheduling algorithm based on DVFS can be reduced to the maximum extent. The invention discloses a method based on K-Means. According to the method, the memory overhead caused by application of DVFS-based reconfiguration scheduling can be reduced. According to the method provided by the invention, the reliability of the FPGA system is improved, and the expenditure of the hardware circuit area is reduced to the maximum extent.

The invention discloses a pulse UWB (Ultra Wide Band) communication system based on a CS (Compressed Sensing) theory. A digital signal (X) transmitted by a transmitting terminal is effectively observed by introducing signal detection in the CS theory through a sparse algorithm in a digital signal processor, combining a random precoding module added at the transmitting terminal and matching with a pulse generating module, a UWB channel and a low-speed sampler, and a common recovery reconfiguration algorithm in the CS theory is utilized to recover and reconstruct the digital signal (X) and realize communication. In the communication system provided by the invention, a plurality of parallel correlators and low-speed samplers needed in a first parallel scheme are not needed at a receiving terminal so that the problem of high hardware implementation complexity in the parallel scheme is solved; meanwhile, the low-speed sampler is directly used at the receiving terminal for sampling, and an analogue information converter is not used, so that the influence of the causality of a low-pass filter in the analogue information converter on observation is avoided and the problem of sparse observation matrix caused by the causality in a serial scheme is solved.