7 results about "Exponential transformation" patented technology

This invention provides a parameter prediction model prediction method, device, and medium based on gradient decision trees, belonging to the field of integrated circuit computer-aided design technology. The method includes: acquiring the topological features of the target network; wherein, the topological features include: fan-out number, number of resistor segments, and number of branches; inputting the topological features into a pre-trained prediction model to obtain the predicted value of total parasitic capacitance and the intermediate predicted value of total parasitic resistance; performing an inverse exponential transformation on the intermediate predicted value of total parasitic resistance to obtain the predicted value of total parasitic resistance. This invention, by performing a logarithmic transformation preprocessing on the target variable of total parasitic resistance and performing an inverse exponential transformation after prediction, can effectively compress the numerical range of total parasitic resistance and optimize the data distribution, thereby accurately restoring the true physical resistance value.

The application discloses a laser self-mixing interference displacement measurement method and device based on complex exponential transformation, and the method comprises the following steps: S1, obtaining a self-mixing interference signal P; S2, constructing a complex exponential self-mixing interference signal X by taking i*P as an index i*P , wherein X is a base number; S3, performing time-frequency transformation on the complex exponential self-mixing interference signal X i*P , to obtain a time-frequency matrix M=[t, f, A], wherein t is time, f is frequency, and A is a corresponding matrix amplitude; S4, extracting a maximum amplitude A t corresponding to each time t t , denoted as an instantaneous frequency, and constructing a new matrix N=[t, f t ]; S5, performing integration on the instantaneous frequency f t , to obtain a reconstructed displacement at the time t. The application is free from the dependence of a target motion direction on an advance estimation based on a time-frequency spectrum integral reconstruction algorithm, and high-precision real-time reconstruction of a steady-state or non-steady-state displacement is realized.

The invention relates to the field of machine learning and pattern recognition, and particularly discloses a variance-covariance subspace distance-based multi-kernel subspace clustering method, which comprises the following steps of: S1, acquiring a high-dimensional data matrix, calculating a variance-covariance matrix and second-order statistical information thereof, defining a preliminary VCSD kernel value and obtaining a VCSD kernel matrix through exponential transformation and normalization, constructing a multi-core pool of r base cores; s2, constructing an optimized objective function based on non-negative matrix factorization, and solving to obtain a local affinity feature map of a block diagonal structure under constraint conditions; s3, capturing high-order feature association through a matrix method, and converting tensor optimization into matrix operation; s4, solving the target function by adopting an alternating optimization strategy, reducing the calculation complexity, and generating a target affinity graph; and S5, clustering the target affinity spectrum, and outputting a result. According to the technical scheme provided by the invention, the problems of missing statistical characteristics, complex calculation and nuclear noise interference of the existing method are solved, and the clustering precision and efficiency are effectively improved.

The application discloses a two-stage image robust reversible watermarking method and system based on CO-QIM, and relates to the technical field of digital watermarking.The application can realize a good balance between robustness and reversibility by combining a polar complex exponential transformation and a CO-QIM method, and guarantees the recoverability of watermark information under various image processing attacks. By using optimized codebook quantization and foot point quantization strategies, the robustness of watermark embedding is further improved, and image distortion is reduced. In addition, the PEE-HS method and the hash algorithm are used to enhance the security of the watermark authentication and recovery process, so that the image can be effectively verified for integrity and restored losslessly during transmission, and the reliability, security and practicability of the image watermarking technology are improved.

The invention discloses a method and a system for realizing Fourier lamination imaging vignetting correction by adopting a weighted fusion strategy, and the method comprises the steps: firstly collecting a dark field image, a flat field image and a sample image under the condition of no illumination, and carrying out the dark field correction of the flat field image and the sample image; secondly, extracting a global maximum gray value of the flat-field image after dark-field correction, normalizing the flat-field image and then performing exponential transformation to generate an initial weight map, and performing spatial domain smoothing on the initial weight map by using a two-dimensional Gaussian filter to generate a smooth weight map; performing division correction on pixels with gray values exceeding a threshold value of the flat-field image to generate a foreground correction image; and dividing the sample image by the flat field maximum gray value to generate a background correction image. And finally, based on the smooth weight map, carrying out weighted fusion on the foreground correction image and the background correction image to realize vignetting correction. According to the invention, the phenomenon of uneven brightness caused by the vignetting effect is effectively eliminated, and vignetting correction is accurately and efficiently realized.

The invention relates to the technical field of helical antennas, and discloses a conical helical antenna, which comprises a supporting cone structure, a continuous helical radiator and a feed body, the continuous spiral radiator is wound on the surface of the supporting cone structure, is positioned through the positioning structure and is fixed through the connecting structure; the feed body is arranged in the supporting cone structure, a feed part of the feed body penetrates through the end face of the first end of the supporting cone structure, and the feed part is integrated with a butterfly-shaped loading structure; the continuous spiral radiator arranged in a winding manner is provided with a protruding exposed copper sheet extending towards the first end of the supporting cone structure, and the protruding exposed copper sheet is folded to the butterfly-shaped loading structure and is connected with the butterfly-shaped loading structure in a welding manner; and the feed body adopts an exponential transformation balun. Through the structure that a supporting body is precisely matched with a flexible radiating body and an index gradient balun integrated with butterfly loading for integrated feeding, the technical problems of complex process, high manufacturing cost, poor stability and the like are solved by utilizing the synergistic effect of structural modularization and feed path optimization.

Light emitting devices are disclosed, and more particularly, light emitting devices with pseudo-exponential coding and related methods are disclosed. Pseudo-exponential encoding or pseudo-exponential transformation refers to encoding and decoding techniques that include locating some data bits while introducing at least one data bit offset from exponential transformation. The deviation involves introducing at least one data bit to avoid zero repetition that may exist during decoding. Exemplary light emitting devices include light emitting diode (LED) packages and / or LED displays. Pseudo-exponential coding as described herein provides bit shifting and operations to increase dynamic range while reducing the complexity and size of hardware resources.