Enhancing efficiency in large-scale signal analysis is crucial. Utilize Python with libraries like NumPy and SciPy for optimal performance. Key strategies include vectorized operations, efficient memory management, Numba for just-in-time compilation, parallel processing, and employing Fast Fourier Transforms (FFT) for reduced computational complexity. Profiling tools help identify bottlenecks.