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3 results for NUFFT

Scalable kernel methods for large datasets using Fourier representations and NUFFT.

problem Cubic complexity in kernel methods limits their use on large-scale datasets.
method Fourier representation of kernels combined with NUFFT for O(n log n) complexity.
result Achieves minimax convergence rates and processes up to tens of billions of samples.

Enhances Fourier estimator performance for asynchronous event-data.

problem Improving correlation and covariance estimation on event-data.
method Implement and test NUFFT methods with different averaging kernels.
result Demonstrates improved performance and relationship between averaging scales.