3 results about "Nonlinear signal processing" patented technology

A system configured to reduce loudspeaker distortion by performing nonlinear signal processing is provided. A device may include preprocessing component(s) that apply nonlinear signal correction prior to sending a playback audio signal to a driver in order to compensate for a nonlinear response of the driver. While the driver response may be nonlinear, a combination of the preprocessing and the nonlinear driver response results in a combined response that is linear and / or compensates for the nonlinear driver response. For example, applying the nonlinear driver response to a processed audio signal may result in output audio generated by the driver accurately reproducing the playback audio signal input to the preprocessing components. To train the preprocessing components to apply the nonlinear signal correction, a deep neural network (DNN) is trained to model the driver response.

The application discloses a power supply equipment state monitoring system and method based on AI power spectrum, and relates to the technical field of electrical intelligent sensing; the method comprises the following steps: obtaining original analog signals of the power supply equipment through real-time synchronous acquisition, and preprocessing the original analog signals to obtain digital waveform data frames; performing time domain feature calculation on the digital waveform data frames to obtain a time domain feature set; performing frequency spectrum feature extraction on the digital waveform data frames to obtain a frequency domain feature set; performing high-order statistical analysis and nonlinear signal processing on the digital waveform data frames to obtain a nonlinear feature vector; based on the frequency domain feature set, the nonlinear feature vector and the time domain feature set, combining a pre-trained artificial intelligence model, outputting a fault type identifier and a corresponding fault probability, and calculating an abnormal score based on the fault type identifier and the corresponding fault probability; the application can effectively identify the camouflage fault of the power supply equipment and reduce the cumulative risk of potential faults.

The invention belongs to the technical field of new energy power prediction and photoelectric nonlinear signal processing, and discloses a new energy power prediction method and system based on an electro-optical differential feedback chaos reservoir, and the method comprises the steps: collecting and preprocessing historical power data and meteorological data, and constructing a prediction model comprising an input layer, a reservoir layer and an output layer; wherein the reserve pool layer comprises an electro-optical chaos ring with differential feedback, and high-dimensional nonlinear mapping and time memory expansion of an input signal are realized; the output layer solves the optimal output layer weight through ridge regression, and linear mapping of the historical state and the future power is achieved. According to the method, the complexity of chaotic dynamics is improved by introducing a differential feedback link, and the nonlinear mapping capability and short-term memory performance of the reserve pool are remarkably enhanced, so that the precision and real-time performance of new energy power prediction are improved. The method is suitable for scenes of wind-solar power prediction, power grid dispatching, distributed energy management and the like.