6 results about "Reflection function" patented technology

This invention relates to a thin-film device for optical anti-counterfeiting, belonging to the field of anti-counterfeiting thin-film device design. The device includes a substrate layer; a plurality of micro-cylindrical reflective units, each cylindrical with its bottom surface adhered to the substrate layer; a ring-shaped textured area, also ring-shaped, disposed on the surface of the substrate layer and adhered to the side of the micro-cylindrical reflective units, the ring-shaped textured area being filled with a distorted texture corresponding to the source image to be displayed; and a reflective functional layer disposed on the side of the micro-cylindrical reflective units and in the area of ​​the non-ring-shaped textured area on the surface of the substrate layer, to achieve a specular reflection effect. The thin-film device constructed by this invention miniaturizes the macroscopic "cylindrical specular reflection imaging" system, achieving highly concealed information hiding and display on the thin-film device itself—"without the need for an external cylindrical mirror, the thin-film device itself is both a mirror and an image source"—within which information can be hidden and displayed with high concealment.

The application belongs to the technical field of mobile traffic prediction, and particularly relates to a cross-domain transfer spatio-temporal integrated network method, comprising the following steps: S1, constructing an integrated learning model, using integrated learning to initially train a basic learner, and combining a spatio-temporal network to capture spatio-temporal features, which is used to overcome the instability and overfitting defects existing in a multi-dimensional spatio-temporal cross-domain environment, wherein the integrated learning model comprises a traffic data set structure, spectral clustering, a long short-term memory (LSTM) and a convolutional neural network (CNN). The application proposes a new transfer learning algorithm, which trains a mobile traffic prediction model from source domain data rich in data, and then migrates the model to a mobile edge network environment with sparse data, so as to improve the prediction accuracy of the model, and at the same time proposes a new transfer mapping framework, that is, learning a reflection function from experience data and optimizing the reflection function to predict when to migrate or how to transfer to obtain the best prediction performance.

This invention proposes a high-flatness filter optimization method based on the synthesis of lossy filter coupling matrices, belonging to the field of wireless communication technology. The method includes the following steps: S1: Constructing the transmission and reflection functions of an Nth-order Chebyshev lossy filter; S2: Solving for the polynomials in the transmission and reflection functions of the Nth-order Chebyshev lossy filter; S3: Constructing the filter Y-parameter matrix based on the polynomials, ultimately obtaining the lossy filter coupling matrix; S4: Defining the passband flatness of the lossy filter coupling matrix; S5: Optimizing the passband flatness of the lossy filter coupling matrix using gradient optimization to obtain a filter coupling matrix with a high-flatness response; S6: Mapping the filter's physical structure parameters based on the high-flatness response filter coupling matrix. This invention, based on the lossy coupling matrix, obtains a passband-flat filter coupling matrix through gradient optimization, which can effectively guide the design of miniaturized high-performance filters.

This invention provides an optical anti-counterfeiting element and an optical anti-counterfeiting product. The optical anti-counterfeiting element includes a substrate; a reflective curved mirror array disposed on the substrate, the reflective curved mirror array having multiple reflective curved mirror units; a pattern microstructure formed on the reflective curved mirror units; a reflective functional layer disposed on the reflective curved mirror array, the reflective curved mirror array sampling and synthesizing the pattern microstructure to form a first pattern feature with a dynamic and three-dimensional effect; at least a portion of the reflective curved mirror units are arranged according to a preset rule in terms of height and / or period to form a second pattern feature containing preset graphic information. This invention solves the problem of difficult manufacturing processes for existing optical anti-counterfeiting elements.

The application discloses a non-reflection lumped parameter filter, which comprises a first port, a second port, a low-pass part and a high-pass part, the low-pass part and / or the high-pass part is fused with a resonator; the first port is a signal input port, the second port is a signal output port, one port of the low-pass part and one port of the high-pass part are connected with the first port, the other port of the low-pass part is connected with the second port, the other port of the high-pass part is connected with a resistor, and the other end of the resistor is grounded; when working in a passband, the low-pass part signal is conducted, the high-pass part signal is not conducted, the signal is input from the first port, and all the signal is transmitted to the second port by the low-pass part; when working in a stopband, the low-pass part signal is not conducted, the high-pass part signal is conducted, the signal is input from the first port, when the signal is transmitted to the low-pass part, all the signal is reflected back, the reflected wave is transmitted to the resistor through the high-pass part, and all the reflected wave is absorbed by the resistor. The application can realize good non-reflection function.

The invention provides a self-adaptive fast two-dimensional angle super-resolution method for a real aperture phased array radar, and relates to the field of real aperture radar super-resolution imaging. The method comprises the following steps: modeling azimuth and pitching two-dimensional echoes into convolution of a two-dimensional antenna beam along azimuth and pitching sampling sequence and a target reflection function along azimuth and pitching sampling sequence; under a regularization framework, introducing azimuth and pitching two-dimensional sparse constraints of a target, and converting a deconvolution problem into a parameter estimation problem under the regularization framework; and directly solving a two-dimensional inversion problem by adopting an efficient solving method and a two-dimensional rapid iteration threshold shrinkage algorithm. The method solves the problems that a traditional regularization method is low in processing speed and cannot achieve rapid and effective high-resolution imaging. And the real-time performance of the two-dimensional angle super-resolution is greatly improved.