36 results about "Hadamard transform" patented technology

The invention belongs to the technical field of large model quantification, and discloses a large model quantification method based on non-uniform grouping Adamage transform and activation distribution self-adaption, which comprises the following steps: firstly, eliminating abnormal values in an activation matrix through non-uniform grouping Adamage transform, and solving the problem of abnormal distribution caused by uniform grouping; secondly, constructing an equivalent transformation error elimination algorithm, and eliminating a weight quantization error by adopting a GPTQ algorithm; and finally, distributing an optimal quantization data type (Int4 or Nint4) for each activation matrix through an activation distribution adaptive algorithm so as to minimize a quantization error. According to the method, the deployment efficiency of online rotation is improved through non-uniform grouping Adamage transformation, meanwhile, the quantization error is remarkably reduced in combination with self-adaptive data type selection, and the model quantization precision and the hardware deployment efficiency are improved. The method is suitable for compression and optimization of a large language model, and has a wide application prospect.

The invention belongs to the technical field of component detection, and relates to a three-state ion gate and a Hadamard transform ion mobility spectrometer. The three-state ion gate is arranged in the Hadamard transform ion mobility spectrometer and comprises a first grid mesh, a second grid mesh and a third grid mesh which are sequentially and separately arranged in the direction from a reaction region to a drift region; the grid voltage regulation and control module is used for controlling the voltage of the second grid to be larger than the voltage of the third grid and smaller than the voltage of the first grid within a first preset time when the modulation signal output by the spectral modulation Hadamard transform gating unit is a first level signal; when the modulation signal is converted from the first level signal to the second level signal, controlling the voltage of the second grid mesh to be greater than the voltage of the first grid mesh and the voltage of the third grid mesh within a second preset time; and when the modulation signal is a continuous second level signal, controlling the voltage of the second grid mesh to be smaller than the voltage of the first grid mesh and the third grid mesh. According to the scheme, the resolution and the signal-to-noise ratio of the ion mobility spectrometry obtained by the Hadamard transform example mobility spectrometer can be improved.

This invention discloses a deep learning-based Hadamard transform-based anti-screen-capture watermarking method, belonging to the field of watermarking technology. This invention combines a convolutional neural network (CNN) and residual blocks to achieve an end-to-end process of watermark embedding and extraction within the Hadamard domain. By simulating screen-capture attacks and incorporating this method between the embedding and extraction layers, the network ensures robust watermark embedding. This method can efficiently extract watermark information from photos taken by surreptitiously, protecting the copyright of digital media. The use of the transform domain for watermark embedding allows the watermark to spread over a wider area of ​​the image, significantly improving the robustness of the watermarking algorithm. Comparison with related technologies demonstrates the superiority of this invention in terms of imperceptibility and robustness.

The invention relates to the technical field of biological feature recognition, in particular to a face template protection method and system based on Hadamard transform and improved MinHash, a registered user face template is generated through the face template protection method, and the registered user face template is stored in a protected face template database. According to the face template protection method, a face template is generated through face image feature extraction, local Hadamard transformation and an improved MinHash algorithm; the method comprises the following steps: acquiring a face image of a to-be-authenticated user, generating a target face template of the to-be-authenticated user through a face template protection method, and performing similarity matching on the target face template and a registered user face template in a protected face template database to judge whether the face image of the to-be-authenticated user is a registered user face image or not. According to the method, two-layer protection can be realized on the face template in face recognition, the safety is relatively high, the recognition accuracy and generation efficiency of the face template are effectively improved, and the method has a relatively good application prospect in the field of face recognition identity authentication and authorization.

The present invention makes full use of the high correlation of the image Hadamard domain coefficients and discloses a frequency domain color digital image blind watermarking method based on Hadamard transform and voting system. The present invention quantifies the high correlation coefficient pairs of the Hadamard domain and uses their size relationship to achieve the embedding and blind extraction of color image digital watermarks, and uses the minority obeys majority voting system to improve robustness, while combining symmetric key and asymmetric key encryption methods to improve security. The present invention embeds the color image digital watermark into the color host image, while achieving good invisibility and strong robustness, it also has high real-time and security, effectively solving the problem of slow operation of large-capacity color image digital watermarks, and is suitable for fast, robust and secure digital media copyright protection.

The invention discloses an optical computing chip with a vertical micromirror structure and a wafer-level intelligent manufacturing method thereof, the optical computing chip comprises a plurality of optical modulators and a plurality of quantum logic gates, and interference optical paths in the optical modulators are set based on a vertical micromirror, so that optical modulation is realized; the quantum logic gate constructs a stable light path through a reflecting mirror arranged vertical to the micro-mirror, interference is realized by using a beam splitter, and Hadamard transform is executed by a wave plate at an inlet or an outlet of a target light path, so that light calculation is realized; a deep groove beam splitter or a deep wall beam splitter is adopted as a beam splitter, a silicon wall in the deep wall beam splitter is arranged to be perpendicular to two side walls of a substrate to form a preset included angle, and the deep groove beam splitter is manufactured by the following steps: photoetching a pattern of a deep groove on the surface of a monocrystalline silicon wafer; etching a deep groove with a preset angle by using a deep etching method, and smoothing the side wall; depositing an optical thin film in the deep groove; photoetching and deeply etching the shape of the deep groove beam splitter, wherein the side wall of the deep groove beam splitter is smooth; and growing an optical antireflection film on the vertical side wall.

The invention discloses a portable Raman spectrometer based on Hadamard transform. The portable Raman spectrometer comprises a light source module, a sample bin, an optical system module, a detection module, a signal processing module and a control unit, the light source module is used for generating an excitation light beam to induce a target sample to generate Raman scattering light; an optical signal acquisition path is reconstructed through a space-spectrum cooperative coding mechanism of a Hadamard coding disc, multi-channel parallel capture in a full-spectrum range is realized in single exposure, and the luminous flux limitation of a traditional light splitting technology is fundamentally broken through; in combination with a dual optimization mechanism of dynamic weighting calculation, a closed-loop iteration model of noise suppression and weak signal enhancement is initiated, and signal-noise separation and fidelity reconstruction are realized on an algorithm level through real-time environmental noise analysis and Raman intensity gradient self-adaption.

A quantum circuit, configured to process n qubits and d additional qubits, includes: a d-qubit Quantum Fourier Transform circuit configured to apply a d-qubit Quantum Fourier Transform to the d additional qubits; a plurality of parity-fan-out gates controlled by the n qubits and configured to control the additional d qubits, wherein each of the plurality of parity fan-out gates is coupled to a corresponding one a plurality of sets of additional phase gates that also apply phase angles to the d additional qubits, wherein quantum circuit implements a unitary of a bit function and wherein the sets of additional phase gates apply the phase angles to the d additional qubits based on a Walsh-Hadamard Transform of a conversion of the bit function to a binary number; and a d-qubit Inverse Quantum Fourier Transform circuit configured to apply a d-qubit Inverse Quantum Fourier Transform to the d additional qubits.

A mechanism for processing video data is disclosed. The mechanism includes determining to employ side information as input to a filter. The filter can be a bilateral filter (BF) or a Hadamard transform domain filter (HTDF). A conversion is performed between a visual media data and a bitstream based on the filter.

A method of coding is implemented by a decoding device, the method includes: receiving a bitstream, and obtaining from the bitstream, a first luma bit depth value of luma samples of a current picture. The method also includes performing a Hadamard Transform Domain Filtering (HTDF) post reconstruction filtering of a block of the current picture by using a lookup table based on the obtained first luma bit depth value.

The present invention provides a memristor-based image compression system and method, the image compression system comprising: a first storage subarray, a second storage subarray, an input encoding module, an output encoding module, a storage module, and a frequency signal encoding module; image information is converted into a processable signal by the input encoding module, and a Walsh-Hadamard transform operator is mapped to the storage subarray; after completing the image compression forward transform, the frequency information encoding module compresses the obtained frequency information; the image compression system performs an inverse transform of the image compression, and the current value after the image compression inverse transform is output as compressed image information after passing through the output encoding module, thus completing the image compression. The image compression in the present invention uses the Walsh-Hadamard transform. Since the transform operator only includes +1 and -1, only a memristor device with 1-bit precision is required, which greatly reduces the performance requirements of the device and also reduces the complexity of the device control coding.

A mechanism for processing video data is disclosed. The mechanism includes determining to employ side information as an input to the filter. The filter may be a bilateral filter (BF) or a Hadamard transform domain filter (HTDF). A conversion between the visual media data and the bitstream is performed based on the filter.

The present invention discloses a quantum forgery attack method, device and storage medium for OTR structure, which relates to the technical fields of quantum computing and quantum security, and includes the following steps: setting a plaintext block division rule, and using the plaintext blocks to calculate a tag generation formula; encrypting the plaintext blocks into ciphertexts, substituting the ciphertexts into the tag generation formula, and generating a function according to the tag generation formula after substituting the ciphertexts; setting a 2n-bit quantum state, applying a Hadamard transform to the first n qubits of the 2n-bit quantum state to obtain a quantum superposition; substituting the quantum superposition into the generated function to obtain a first state, and applying a Hadamard transform to the first n qubits to obtain a second state; substituting all qubits into the function for measurement, performing multiple experiments on this quantum circuit to obtain n different states, obtaining a period by using Gaussian elimination according to the inner product of the obtained states and the period being 0; forging ciphertexts according to the obtained period.

An orthogonal time sequency multiplexing (OTSM)-based communication method includes generating a plurality of candidate matrices in a delay-time domain by multiplying data in row units in a delay-sequency domain by a plurality of preset scrambled Walsh-Hadamard transform (S-WHT) matrices or generating a plurality of candidate matrices in a delay-time domain by scrambling the data in row units in the delay-sequency domain by using a plurality of preset scramble vectors and then multiplying the scrambled data by the S-WHT matrices, and generating a data matrix in the delay-time domain based on the plurality of candidate matrices.

Infrared spectrometer and method of performing infrared spectrometry. In one embodiment, the method comprises the steps of providing a first single pixel detector sensitive to infrared light in a first spectral range; providing an entrance slit for receiving an infrared light signal; disposing a moveable encoding mask between the entrance slit and the first single pixel detector for encoding based multiplexing, the moveable encoding mask comprising at least three adjacent coding sections along an encoding moving direction thereof, each coding section comprising the same coding pattern in a cyclic manner such that a last encoding step of one encoding section is the same as a first encoding step in a next encoding section step; disposing a dispersion and imaging optics between the entrance slit and the moveable encoding mask for dispersing the infrared signal and for imaging the dispersed infrared signal onto the moveable encoding mask; disposing a collection optics between the moveable encoding mask and the first single pixel detector for collecting an encoding based multiplexed version of the infrared signal onto the first single pixel photodetector; selectively allowing only one of at least first and second bands within the first spectral range to be imaged onto respective ones of the coding sections excluding a first coding section along the encoding moving direction of the moveable encoding mask, in a starting position of the moveable encoding mask; and moving the moveable encoding mask in the encoding moving direction for the encoding based multiplexing.

The invention provides an anesthesia puncture auxiliary positioning method and system based on an image technology, and relates to the technical field of image processing, and the method comprises the steps: obtaining an ultrasonic image of a patient; the ultrasonic image is preprocessed, and preprocessing comprises noise reduction, contrast enhancement and image segmentation; carrying out feature extraction on the preprocessed ultrasonic image through Hadamard transformation, and determining direction features; performing feature extraction on the preprocessed ultrasonic image through a convolutional neural network to determine spatial features; fusing the direction features and the spatial features to determine fusion features; and determining the target position of the needle head for anesthesia puncture according to the fusion characteristics. According to the invention, the operation efficiency in the anesthesia process is obviously improved.

A quantum circuit, configured to process n qubits and d additional qubits, includes: a d-qubit Quantum Fourier Transform circuit configured to apply a d-qubit Quantum Fourier Transform to the d additional qubits; a plurality of parity-fan-out gates controlled by the n qubits and configured to control the additional d qubits, wherein each of the plurality of parity fan-out gates is coupled to a corresponding one a plurality of sets of additional phase gates that also apply phase angles to the d additional qubits, wherein quantum circuit implements a unitary of a bit function and wherein the sets of additional phase gates apply the phase angles to the d additional qubits based on a Walsh-Hadamard Transform of a conversion of the bit function to a binary number; and a d-qubit Inverse Quantum Fourier Transform circuit configured to apply a d-qubit Inverse Quantum Fourier Transform to the d additional qubits.

This invention provides a method for forcibly partitioning coding units (CUs). The method analyzes the characteristics of the predicted residual data, uses a quadtree, and identifies the consistency of detail richness of high-frequency coefficients in the four sub-blocks after Hadamard transform of the residual data predicted by the coding unit (CU). This determines whether the current CU block size will cause detail loss or detail spread. For CUs with complex residual data (i.e., inconsistent detail richness in the quadtree-partitioned sub-blocks), forced partitioning is performed, and over-partitioning is corrected. This method supplements and corrects the CU decision-making process for pass rate distortion optimization, significantly improving the effects of detail loss and detail spread.

A quantum circuit, configured to process n qubits and d additional qubits, includes: a d-qubit Quantum Fourier Transform circuit configured to apply a d-qubit Quantum Fourier Transform to the d additional qubits; a plurality of parity-fan-out gates controlled by the n qubits and configured to control the additional d qubits, wherein each of the plurality of parity fan-out gates is coupled to a corresponding one a plurality of sets of additional phase gates that also apply phase angles to the d additional qubits, wherein quantum circuit implements a unitary of a bit function and wherein the sets of additional phase gates apply the phase angles to the d additional qubits based on a Walsh-Hadamard Transform of a conversion of the bit function to a binary number, and a d-qubit Inverse Quantum Fourier Transform circuit configured to apply a d-qubit Inverse Quantum Fourier Transform to the d additional qubits.

The invention provides a high-dimensional OTSM implementation method based on generalized index modulation, and relates to the field of wireless communication, and the method comprises the steps: completing the mapping of transmitted digital information through a generalized index modulation technology and a high-dimensional signal constellation diagram, and obtaining an OTSM signal frame of a time-order rate domain through an in-phase orthogonal converter and an OTSM frame generator; a time-order rate domain OTSM signal is converted to a time domain by adopting Walsh-Hadamard transform, and a high-dimensional OTSM transmitter based on generalized index modulation is constructed; the high-dimensional OTSM transmitter is modulated through the generalized index to send digital signals in a wireless channel, and better system performance is achieved with low system implementation complexity. According to the technical scheme, the complexity of system implementation can be effectively reduced, a low system peak-to-average power ratio is achieved, and the energy efficiency of the system and the generalized index modulation reliability are effectively improved through application of the index modulation technology and the high-dimensional signal constellation diagram.

The present invention discloses an active single-pixel imaging method for strongly scattering media based on a conditional generative adversarial network. The method comprises the following steps: designing a single-pixel optical imaging system based on a Hadamard transform to obtain one-dimensional detection signal values ​​of a test target under a series of different scattering conditions and sampling rates; shaping the sampled one-dimensional detection signal values ​​under different scattering conditions and sampling rates into two-dimensional signal images through data averaging preprocessing, which are used as test set images; constructing a deep convolutional conditional generative adversarial network (AMSPI-LSCGAN) based on a least squares loss function model with a compression-excitation block and a residual block; combining the least squares loss with a content loss and an average structural similarity loss as the loss function of the AMSPI-LSCGAN network for training, thereby avoiding training collapse and obtaining reconstructed images with higher fidelity; and inputting the test set images into the trained AMSPI-LSCGAN network to reconstruct the test target.

The invention relates to a color image watermark embedding method and system based on Walsh-Hadamard transform, and the method comprises the steps: carrying out the partitioning of a carrier image, calculating the entropy value of each image block, and carrying out the sorting preprocessing of the image blocks, the method comprises the following steps: selecting a plurality of in-block smooth image blocks as to-be-embedded image blocks, carrying out frequency conversion on the to-be-embedded image blocks through Walsh-Hadamard transform, carrying out secondary partitioning on each converted to-be-embedded image block, selecting an embedding position of a watermark according to a frequency difference value between pixel points after Walsh-Hadamard transform, and carrying out watermark embedding according to the frequency difference value between the pixel points after the Walsh-Hadamard transform. The image attack resistance of the embedded secret-carrying image is improved, and the balance between the unperceivability and robustness of the image watermark based on Walsh-Hadamard transform is improved.

The present application discloses a method for aligning attitude sensor and hydrophone data based on OTSM, which belongs to the field of ocean monitoring technology. The present application is a method for aligning attitude sensor and hydrophone data based on OTSM synchronization technology. Through the synchronization algorithm of the time axis and the delay axis, pilot symbols are inserted into the hydrophone signal. The delay on different propagation paths is determined by finding the peak of the pilot signal to synchronize the data. The signal containing the pilot symbol is combined with the Walsh-Hadamard transform frequency compensation to achieve accurate frequency alignment of multi-sensor data in complex environments, ensure the frequency alignment of attitude data and hydrophone data, and achieve higher synchronization accuracy.

The present disclosure provides a method for encoding input data in an encoder to generate encoded output data, wherein the method comprises instructing to convert the input data to base layer reconstruction data using a down-sampled version of the input data; and generating enhancement layer data providing instructions for enhancing the base layer reconstruction data, wherein the enhancement layer data comprises residual data representing a difference between a reconstruction generated from the base layer reconstruction data and data derived from the input data, wherein the residual data is subjected to at least one transform and at least one data compression method to generate the encoded output data, characterized in that the method comprises arranging the at least one transform to comprise a Hadamard transform to convert the residual data to corresponding transform coefficients, wherein different output elements of the Hadamard transform are arranged as different surfaces to be encoded, and selecting an output order for the transform coefficients in the surfaces to provide a sequence of transform coefficients for the at least one data compression method to generate the encoded output data, wherein the output order is selected to be at least one of a tile raster order and an n x n block "Z" order.

The present invention combines the characteristics of low time complexity of the spatial domain digital watermarking algorithm and energy concentration of the Hadamard transform, and discloses a blind watermarking method for spatial domain color digital images integrating the Hadamard transform. By utilizing the energy concentration characteristic of the Hadamard transform, the present invention directly obtains the maximum energy coefficient of an image block in the Hadamard domain in the spatial domain, and realizes the embedding and blind extraction of the color image digital watermark by quantifying this coefficient. Meanwhile, an encryption method based on symmetric key and asymmetric key is adopted to improve the security. The present invention embeds the color image digital watermark into the color host image, achieving good invisibility and strong robustness, while also having high real-time performance and security, effectively solving the problem of slow running speed of large-capacity color image digital watermarks, and is applicable to the protection of digital media copyrights quickly, robustly and securely.

A system according to one aspect of the present disclosure comprises: an input unit for inputting the quantum state of n quantum bits to a quantum computer; and a calculation unit for executing, by controlling the quantum computer, a quantum calculation that involves repeating a unitary transformation in which is included a pseudo-random function taking a bit string of n / 2 bits as input / output, a Hadamard transform, and swapping between high-order n / 2 quantum bits and low-order n / 2 quantum bits on the quantum state a predetermined number of times.

Techniques for training deep neural networks with 4-bit integers are described herein. According to one aspect of the present disclosure, a computer-implemented method for accelerating operations of a deep neural network includes, for each of a plurality of matrix multiplications during forward propagation, obtaining a first matrix by multiplying an activation matrix with a block diagonal Hadamard transform matrix, the activation matrix is an input of the matrix multiplication; obtaining a second matrix by multiplying a weight matrix with the block diagonal Hadamard transform matrix wherein the transpose of the weight matrix is another input of the matrix multiplication; quantizing the first matrix and the second matrix into a 4-bit integer matrix; obtaining a result matrix by multiplying the transpose of the quantized first matrix with the transpose of the quantized second matrix; and inversely quantizing the result matrix into a matrix represented by floating points.

Techniques for training deep neural networks with 4-bit integers are described.According to one aspect of the present disclosure, a computer-implemented method for accelerating operations of a deep neural network comprises: for each of a plurality of matrix multiplications during forward propagation, obtaining a first matrix by multiplying an activation matrix, which is an input to the matrix multiplication, by a block-diagonal Hadamard transform matrix; obtaining a second matrix by multiplying a weighting matrix, one transpose of which is another input to the matrix multiplication, by the block-diagonal Hadamard transform matrix; quantizing the first matrix and the second matrix into 4-bit integer matrices; obtaining a resultant matrix by multiplying the quantized first matrix and the transpose of the quantized second matrix; and dequantizing the resultant matrix into a floating-point matrix.

A video encoding method and apparatus for calculating a sum of absolute transformed difference (SATD) through a folded Hadamard transform circuit includes partitioning a current block into SATD blocks, receiving input data associated with a first block of a first SATD block in a first cycle and input data associated with a second block of the first SATD block in a second cycle, and performing a calculation of the first block by a shared Hadamard transform circuit in the first cycle and a calculation of the second block by the shared Hadamard transform circuit in the second cycle. Each shared Hadamard transform circuit is a first portion of each folded Hadamard transform circuit. The video encoding method and apparatus further perform a calculation of an entire SATD block through a final portion of each folded Hadamard transform circuit to generate a final SATD result for the first SATD block for encoding.