2results about How to "Fast Fourier Transform" patented technology

The present invention belongs to the technical field of DSP design, and specifically relates to a design and application method of a DSP instruction set dedicated to electric power. The design method includes designing a general register, using a very long instruction word technology to design a scalar instruction into a VILW instruction, and using a single instruction multiple data flow technology to design a vector instruction. The present invention designs a vector instruction, which can optimize a large number of vector operations in electric power application algorithms. And using the very long instruction word (VLIW) technology, the compiler determines the execution order between instructions, avoiding the design of a complex hardware instruction scheduler, and supports two instruction formats: four-slot VLIW instructions and two-slot immediate instructions; multiple instruction formats can realize more compact instruction encoding, optimize the situation where the encoding space cannot be fully utilized when the operand is insufficient, and limit the supported type of each operation when the instruction format is defined, rather than supporting all operations, which can reduce the design complexity and fully utilize registers and computing resources.

This application relates to a high-resolution reconstruction method for photovoltaic power generation data. The method includes: collecting photovoltaic data at a resolution lower than a first preset level and time-aligned weather data; performing frequency and time domain modeling on the photovoltaic data and weather data using Fourier transform to obtain input frequency domain features; selectively enhancing the input frequency domain features using learnable frequency domain channel attention to obtain a frequency-modulated sequence; and modeling the frequency-modulated sequence using a Mamba state-space network to obtain reconstructed frequency domain features; restoring the reconstructed frequency domain features to a time domain output through inverse frequency domain transform; and fusing the time domain output with the original time domain features to generate photovoltaic data and weather features at a resolution higher than a second preset level based on the fused features. This solves the problems in related technologies, such as the lack of an effective multimodal feature fusion mechanism, which makes it difficult to deeply integrate key external information such as meteorological data with the power sequence, and the bias in frequency domain modeling, tending to learn low-frequency trends while ignoring high-frequency details, leading to rapid fluctuation distortion in the reconstructed signal.