63 results about "Lifting scheme" patented technology

The invention publishes a medical image ROI compression method based on a lifting wavelet and a PCNN, which comprises the following steps of: circling a region of interest by a doctor, and separating the region of interest from a region of no interest by a difference image method; adopting lossless compression in the region of interest, constructing compactly supported biorthogonal wavelet transformation through a lifting scheme, and then carrying out Huffman encoding; adopting lossy compression in the region of no interest, segmenting gray-value pixel approximate points through the PCNN, carrying out ignition operation, and then carrying out run-length encoding; and finally carrying out inverse transformation restoration, merging the region of interest and the region of no interest, and eliminating a boundary discontinuity problem through linear interpolation. Experimental results prove that the region of interest can be flexibly selected and controlled by the compression method, the used information for doctor diagnosis can be completely reserved, and the compression ratio is higher. Meanwhile, the computation for an ROI mask and the computation and the encoding for a wavelet coefficient difference value are omitted, the compression and decompression time and the algorithm complexity are reduced, and the image processing and transmitting efficiency is improved.

The invention belongs to the field of safety control on lifting operations and provides a virtual command module for large lifting operations and a working method of the virtual command module. The module comprises a live-action monitoring system, a virtual guiding system, a precise positioning system and a lifting mechanical analysis system. Visualization of global field monitoring of a lifting site can be realized, a virtual lifting rehearsal model is constructed on the basis of a BIM (building information model), and simulation and route optimization of a lifting process are realized through setting of working conditions and lifting parameters, so that lifting risks are mastered in advance, and a lifting scheme conforming to actual requirements is made; besides, through precise positioning and lifting mechanical analysis, automation and informatization of collision prevention and safety control on lifting are realized, accurate and direct early-warning information is provided for front-line commanders, unified and standard lifting commands are given to crane drivers, the crane drivers are assisted in completing lifting operations smoothly and safely, and the safe, real-time and effective technical support is provided for the large lifting operations.

The invention relates to an image lossless compression and decompression method based on lifting wavelet transform, belonging to the image compression field. The method comprises the following steps: the lifting scheme is utilized to obtain lifting wavelet, lifting wavelet transform is performed to an original natural image, the matrix transform of integer domain is completed to obtain restorable a wavelet coefficient which is an integer; and the wavelet coefficient is decomposed according to the characteristic of the wavelet coefficient to obtain low frequency coefficients and high frequency coefficients, and the obtained low frequency coefficients and high frequency coefficients are coded respectively so as to effectively increase the coding efficiency, wherein predictive coding is adopted for the low frequency coefficients and the SPIHT coding is adopted for the tree structure formed by the high frequency coefficients, thus the aim of lossless compression can be achieved and repeated comparisons in the SPIHT algorithm can be reduced. The method of the invention can increase the compression ratio and compression efficiency of the image as far as possible under the premise of ensuring that the image is undistorted.

For converting first and second blocks of discrete values into a transformed representation, the first block is transformed according to a first transformation rule and then rounded. Then, the rounded transformed values are summed with the second block of original discrete values, to then process the summation result according to a second transformation rule. The output values of the transformation via the second transformation rule are again rounded and then subtracted from the original discrete values of the first block of discrete values to obtain a block of integer output values of the transformed representation. By this multi-dimensional lifting scheme, a lossless integer transformation is obtained, which can be reversed by applying the same transformation rule, but with different signs in summation and subtraction, respectively, so that an inverse integer transformation can also be obtained. Compared to a separation of a transformation in rotations, on the one hand, a significantly reduced computing complexity is achieved and, on the other hand, an accumulation of approximation errors is prevented.

The invention provides a lifting scheme-based optimization implementation method of 9/7 wavelet transformation. In the method, the times of shift operations in the computational process of a lifting scheme is effectively reduced by selecting a wavelet transformation lifting parameter which is suitable for being implemented on a high-speed hardware platform; and on the basis, an embedded boundary extension algorithm is adopted, an intermediate result cache region is established and the cache region initialized by using original data, so that stream processing capability is improved, accessing times are reduced, the time complexity of algorithm is reduced, saves memory space, and the space complexity of the algorithm is reduced. The experimental result shows that for the same image, the method and a CDF9/7 wavelet filter-based compression algorithm can achieve basically the same image recovery quality in a compression test, but the method is faster in operation.

A wavelet-based image compression system and method are presented. Compression is accomplished by performing a wavelet transformation of an input digital image. The resulting wavelet coefficients are compared to a threshold value. Coefficients falling below the threshold are discarded. The remaining coefficients are quantized. The quantized coefficients are then compressed using an entropy encoding technique, such as arithmetic, run length, or Huffman encoding, or a combination of Huffman and run length encoding. The wavelet transform can be an integer wavelet transform derived using a lifting scheme or correction method, while the quantization scheme can be sub-band oriented. Input color image pixels can be reduced using a color table. In addition, color pixels can be transformed between color spaces prior to wavelet transformation.

The invention relates to an analyzing and processing method of the reliability requirement of a power consumer, in particular to a computer assessment method of the reliability requirement of the power consumer in a marketing environment. The invention is combined with the requirements of power supply enterprises to research the method for assessing the power supply reliability requirement of any power supply region. The method comprises the following steps: providing key consumer characteristic information influencing the reliability requirement through analyzing the damage degree of power failure to consumers in different industries; and providing a region power supply reliability requirement grade quantitative evaluation method based on the consumer characteristic information through applying a fuzzy decision method. The invention aims to compare and measure the serious damage and loss degrees of power failure objectively according to regional consumer constitution, and develop the power supply reliability requirement more scientifically. The analyzing and processing method provides a certain reference for power distribution network planning and reliability lifting scheme decision.

The invention relates to a mechanical rubbing fault feature extraction method based on multi-wavelet kernel-support vector regression (SVR). The method comprises the following steps: 1) a vibration signal of a mechanical key component is measured and taken, and the signal is subjected to redundant lifting scheme wavelet (RLSW) decomposition; 2) each layer of detail signals and the last layer of approximation signals obtained by decomposition are subjected to adaptive singular value decomposition (ASVD) noise reduction; 3) a signal is reconstructed by redundant lifting wavelets, and a noise reduction signal is acquired; 4) with two interval three-time Hermite spline multi-wavelet scale functions as interpolation basis functions, a novel multi-wavelet kernel function is constructed; and 5) the vibration signals after noise reduction are divided into a training set and a prediction set, the training set is used to construct a prediction model, the prediction set is predicted, and a weak periodic impact component hidden in the original vibration signal is extracted by the prediction residual. Thus, the mechanical rubbing fault features can be extracted.

The invention discloses a method and device for simulating a lifting process of large-sized equipment, and belongs to the field of lifting computer simulation verification of equipment. The method comprises the following steps: creating a three-dimensional lifting model on a CAM platform, wherein each assembly in the three-dimensional lifting model is in a kinematic pair assembly relationship; calculating the motion parameters and equipment gravities of a main crane and a tail crane in the three-dimensional lifting model on the basis of practical sizes according to a preset lifting scheme, and simulating the lifting process of the large-sized equipment on the CAM platform according to the motion parameters and the equipment gravities; and acquiring the simulation lifting position of the large-sized equipment in the lifting process, comparing the simulation lifting position of the large-sized equipment with a preset lifting position in the preset lifting scheme, and lifting the large-sized equipment according to a comparison result. According to the method and device, the three-dimensional lifting model is created on the CAM platform, and kinematic pair assembly is performed on each assembly in the created three-dimensional lifting model to simulate the lifting process of the large-sized equipment, so that the simulation accuracy is increased.

The invention relates to a lifting scheme-based 9/7 wavelet inverse transformation image decompressing method, which comprises the following steps that: four wavelet coefficient data can be inputted to be processed during every clock cycle, and the processing capacity is improved by adding a parallel operational structure; by temporarily storing and scheduling an intermediate result, the repeatedcomputation can be reduced; an input port of the operational structure in which the symmetric data is arranged is directly joined, so a special symmetric boundary continuation processing procedure can be eliminated, and the delay of the entire flow process can be reduced; and finally four processing results can be outputted during every clock cycle, so the processing capacity and the processing efficiency of the method can be adequately reflected. The method is suitable for a large data size real-time decompression system.

Compression of images that have masked or “don't care” regions which are delineated by a binary image mask is achieved using “masked wavelet transforms.” A unique mask-dependent lifting scheme is used to compute invertible wavelet transforms of the input image for use in encoding and decoding the input image. These mask-dependent wavelet transforms are derived from the input image based on the masked regions within the image. Masked wavelet coding automatically generates an appropriate linear combination of available, unmasked, neighboring pixels, for both the prediction and the update steps of “lifting” for each pixel. This pixel availability is then used to change the wavelet function on a case-by-case basis as a function of the mask by using a polynomial of degree k−1 for interpolation in both the predict and update steps of lifting where at least k unmasked neighboring pixel values are available.

The invention relates to a character wave shape decomposition and reconstruction method based on Haar wavelet increase, wherein it uses wavelet interpolation (WI) voice code algorism; before decomposing the character wave shape extracted by present analysis frame, first transforming the amplitude spectrum of disperse time Fourier level (DTFS) into disperse cosine transformation (DCT) factor, then using the increase method of Haar wavelet transformation to multistage decompose and reconstruct the character wave, to code the decompose parameter of each level, and use the average value of phase spectrum distance and the basic sound period increment to judge the dull sound mark of present frame, to decide the fixed phase spectrum or random phase spectrum of code end. The Haar wavelet increase method can reduce the calculation complexity and memory space in the decomposition and reconstruction of character wave shape, without algorism delay, to obtain right composed sound quality in low speed of wave shape interpolation code algorism.

The invention discloses a repairing vehicle lifting scheme without affecting bridge floor traffic. The scheme includes that a winch platform is arranged on a beam or a pier, a lifting point is arranged on an original cart rail, a winch steel wire rope is connected with a repairing vehicle on a barge through a pulley block, and the repairing vehicle is lifted by a chain block to be connected with arail after a cart is lifted by operating the winch to approach to the rail. The lifting scheme solves the problems that in existing scheme, bridge floor traffic is jammed, and a large vehicle possibly impacts a lifting vehicle. All constructions are implemented under a bridge, traffic control of a bridge floor is omitted, an emergency lane only needs to be temporarily closed and used for carryingof devices and temporary on and off duty of constructors, massive traffic jam of the bridge floor cannot be caused, construction under the bridge floor cannot be completely interfered by bridge floor, weather and outside interference is less, examination and approval of traffic police are omitted, construction speed and efficiency is effectively improved, social and economic effects are reduced,and the scheme has high practicability and wide applicability.

The invention discloses a wavelet base construction method for a ground penetrating radar signal based on a lifting scheme. A method for constructing a matched wavelet according to a biorthogonal wavelet theory and target signal waveform characteristics is provided for a problem of extraction of the characteristics of a hole detection signal at the back of a tunnel lining. The method is based on aperfect reconstruction filter condition and a lifting scheme wavelet, different lifting operators and dual lifting operators are acquired by carrying out lifting and dual lifting on an initial biorthogonal filter, and the actual characteristics of the ground penetrating radar signal is combined to construct a new biorthogonal wavelet base which not only meets the linear phase and the tight support but also has the advantages of being high in signal matching degree with the ground penetrating radar signal and the like. According to the wavelet base construction method for the ground penetrating radar signal based on the lifting scheme, the wavelet base is applied to quantitative analysis of hole defects of an indoor hole detection test, and compared with other types of wavelets, the wavelet constructed by the lifting scheme can more accurately identify the time and the position of a mutation point of the hole defect signal, and quantitative analysis of the position and the vertical dimension of the hole defect in the tunnel engineering can be realized more accurately, so that the reliability and accuracy of the ground penetrating radar on the defect detection are greatly improved.

The invention discloses a CDB97 wavelet transformation real-time image fusion method based on field programmable gate array (FPGA) hardware. By a CDB97 biorthogonal wavelet lifting scheme, images output by different detectors are dissected and reconstructed, and the implementation complexity of the hardware is simplified. When the hardware processes floating-point number operation, the real-time fusion of heterologous images is realized by an addition and multiplication operation method under a simplified A (1,6,5) floating-point number standard on the premise of meeting the wavelet forward and inverse transformation precision. By the method, the hardware processing speed of an FPGA is full exerted on the basis of meeting the fusion precision and the real-time fusion of the heterologous images is realized by using the CDB97 biorthogonal wavelet lifting scheme and combining the simplified A (1,6,5) floating-point number standard.

A signal detection device allows wavelet transformation of an object signal to be performed in real time by using a real signal mother wavelet. The signal detection device has: an object signal decomposition unit having a lifting scheme structure or a multiple analysis structure relying on multiresolution analysis; a parasitic filter coupled to a desired decomposition filter of the object signal decomposition unit, with the parasitic filter being configured such that a real signal mother wavelet is inputted to the object signal decomposition unit and a generic discrete wavelet transformation is performed, the parasitic filter substantially reproduces and outputs the inputted real signal mother wavelet, and with the real signal mother wavelet being made up of the object signal; means for inputting the object signal to the object signal decomposition unit and performing discrete wavelet transformation using the real signal mother wavelet; and means for computing a wavelet instantaneous correlation on the basis of an output of the parasitic filter.

The invention relates to a sewing machine pressor foot lifting device, which comprises a machine frame, a pressor foot assembly, a pressor foot lifting crank, a pressor foot lifting connecting rod and a pressor foot lifting propping rod, wherein the pressor foot lifting crank is arranged on the machine frame, the sewing machine pressor foot lifting device also comprises an electromagnet and an electromagnet crank, the electromagnet is arranged on the machine frame, an iron core is arranged in the electromagnet, an electromagnet pull rod is connected onto the iron core, two ends of the electromagnet pull rod are respectively connected with the electromagnet pull rod and the electromagnet crank, a groove is formed in the machine frame, and the electromagnet is placed in the groove. Compared with several pressor foot lifting schemes in the market in the prior art, a system provided by the invention has various advantages that the structure is simple, the cost is low, the appearance is attractive, compactness is realized, users can adjust the pressor foot position, and the like.

The invention discloses a method for detecting transient disturbance of electric energy quality in real time. The method comprises the following steps of: 1) constructing complex wavelets on the basis of a basic wavelet function; 2) lifting the constructed complex wavelets according to a basic principle of lifting wavelets, and obtaining a lifting scheme of the complex wavelets by using a Euclidean decomposition algorithm; 3) performing lifting transformation on fundamental frequency signals and transient disturbance signals of an electric network respectively by using the lifting scheme; 4) subtracting the phase DP obtained after lifting the disturbance signals from the phase SP obtained after lifting the fundamental frequency signals, namely ensuring phase information W=SP-DP, and simultaneously, causing amplitude information to be the amplitude obtained after lifting the disturbance signals; 5) performing real-time detection and positioning on the disturbance signals by using the amplitude information and phase information; and 6) repeating the steps from the step 3) to the step 5), and continuously positioning and detecting the disturbance signals and estimating the disturbance amplitude in real time. The method is low in time consumption and high in instantaneity, is simple to implement, and has high algorithm accuracy; and by using the method, the transient disturbance signals can be accurately positioned and the amplitude can be accurately estimated.