All Classes and Interfaces
Class
Description
Machine learning-based adaptive threshold tuning for optimal parallelization.
Operation types for threshold tuning.
Statistics for monitoring adaptive tuning.
Optimized memory layout for batch wavelet processing.
Public, user-friendly facade for high-throughput batch MODWT using SIMD and
Structure-of-Arrays (SoA) layout under the hood.
Result container for multi-level outputs.
Result container for single-level outputs.
True SIMD batch MODWT implementation using Structure-of-Arrays (SoA) layout.
Streaming-friendly facade for batch MODWT in AoS form (Array-of-Arrays),
delegating to SIMD SoA kernels per chunk.
Builder for
BatchStreamingMODWT.SIMD-optimized batch operations for MODWT transforms.
Configuration for parallel execution in VectorWave.
Builder for ParallelConfig.
Execution modes for parallel operations.
Execution statistics for recent operations.
Highly parallel implementation of Continuous Wavelet Transform using Java 24 features.
Builder for creating parallel CWT transforms.
Parallel multi-level MODWT transform with managed executor lifecycle.
Builder for creating parallel multi-level transforms.
Parallel wavelet denoiser with a managed executor lifecycle.
Builder for creating parallel denoisers.
Structured concurrency executor for VectorWave parallel operations.
A future that wraps a structured task scope subtask.
High-level parallel wavelet transform using structured concurrency.
Exception thrown when a computation fails.
Callback interface for progress reporting.
Vector API-based optimizer for wavelet transforms.