Function gpu_batch_sparse_fft 

pub fn gpu_batch_sparse_fft<T>(
    signals: &[Vec<T>],
    k: usize,
    device_id: i32,
    backend: GPUBackend,
    algorithm: Option<SparseFFTAlgorithm>,
    window_function: Option<WindowFunction>,
    batchconfig: Option<BatchConfig>,
) -> FFTResult<Vec<SparseFFTResult>>
where
    T: NumCast + Copy + Debug + Sync + 'static,

Perform batch sparse FFT on GPU

Process multiple signals in a batch for better GPU utilization.

Arguments

• signals - List of input signals
• k - Expected sparsity (number of significant frequency components)
• device_id - GPU device ID (-1 for auto-select)
• backend - GPU backend (CUDA, HIP, SYCL)
• algorithm - Sparse FFT algorithm variant
• window_function - Window function to apply before FFT
• batchconfig - Batch processing configuration

Returns

• Vector of sparse FFT results, one for each input signal