5 results about "Nonlinear scaling" patented technology

This invention provides a quantum-derived Newton-Raphson optimal fractional-order spectrogram generation method, comprising the following steps: Step 1: Acquire the original audio signal and construct a fractional-order spectrogram based on fractional Fourier transform (FRFT); Step 2: Perform nonlinear scaling compression on the fractional-order spectrogram using a Mel filter bank to generate a fractional-order Mel spectrogram; Step 3: Construct an adaptive optimization framework with information entropy minimization as the objective function to measure the information fidelity between the spectrogram and the original signal; Step 4: Use the quantum-derived Newton-Raphson optimization algorithm (QNRBO) to globally optimize the fractional-order order, frame length, and frame shift hyperparameters to generate the optimal fractional-order spectrogram; Step 5: Input the optimal fractional-order spectrogram into a downstream speech recognition model. This technical solution aims to systematically solve core problems such as insufficient traditional time-frequency representation capabilities, rigid hyperparameter configuration, limited optimization algorithm performance, and feature-task disconnect.

The invention provides a bistatic synthetic aperture radar rapid imaging method, electronic equipment and a storage medium, and the method comprises the steps: receiving and obtaining an echo signal based on a transmitting signal transmitted by a transmitting station in a bunching mode; determining a dechirp parameter according to the echo signal, and performing dechirp on the echo signal according to the dechirp parameter to obtain a dechirp echo signal; performing interpolation transformation on the echo signal after dechirp to obtain an echo signal after interpolation; and azimuth nonlinear scaling is carried out on the echo signal after interpolation transformation, a nonlinear scaling parameter is obtained through calculation, and a final SAR image is obtained through azimuth Fourier transformation. Through dechirp and interpolation change, the imaging quality and the imaging effect are greatly improved.

This invention discloses a method and system for constructing an equivalent model of GaNHEMT based on a nonlinear scaling rule. This method addresses the insufficient scaling accuracy of traditional linear scaling techniques by introducing an exponential term to modify the GaNHEMT scaling rule, thus constructing a large-signal model of GaNHEMT based on the nonlinear scaling rule. The impact of the nonlinear scaling rule on the S-parameters of GaNHEMT devices is analyzed. The accuracy differences between the nonlinear and linear scaling rules are compared, ultimately finding that the nonlinear scaling rule significantly improves the fitting accuracy of the S-parameters compared to the linear scaling rule. Without increasing model complexity, this method improves the modeling efficiency and accuracy of GaNHEMT devices. This method is applicable to modeling equivalent models of GaNHEMTs with different gate widths within the same batch.

The application discloses a kind of different scale model impact environment equivalent effect evaluation method and system, comprising: the similarity law of underwater explosion is derived by dimensional analysis, the relationship of shock wave pressure, energy impulse, energy density and charge mass and blast center distance is established.Based on Hopkinson similarity law, a scaled experimental model is designed, and nonlinear scaling optimization is carried out.The application has the advantages that: by dimensional analysis and similarity law, the relationship between the model and the actual environment is accurately established.Using Hopkinson similarity law and nonlinear scaling, the reliability of the model response is ensured.The technical obstacles of data integration and sharing of different scale models are effectively solved.Provide scientific and reliable technical support for engineering design and environmental assessment.

The application discloses a low-field susceptibility weighted imaging method, system, medium and product, relates to the field of susceptibility weighted imaging, and comprises the following steps: acquiring K-space original data obtained by scanning a target object, and performing image reconstruction on the K-space original data; obtaining multi-echo amplitude data and multi-echo phase data according to the obtained reconstructed image; unwrapping the multi-echo phase data, and merging the obtained multi-echo unwrapped phase data into three-dimensional phase data; merging the multi-echo amplitude data into three-dimensional amplitude data, and performing nonlinear scaling on the three-dimensional amplitude data; performing a high-pass filtering operation on the three-dimensional phase data based on complex domain phase separation, performing nonlinear phase mask processing on the obtained high-frequency phase data, multiplying the obtained phase mask and the scaled three-dimensional amplitude data, and performing minimum density projection on the obtained original susceptibility weighted image. The application can effectively improve the contrast of the SWI image under the low field.