Discrete Wavelet Transform in digital audio signal processing: A case study of programming languages performance analysis

The time spent processing the test set is a crucial factor in research projects involving audio signal transforms. The present work analyzes the performance of a set of programming languages commonly used in this type of scientific research. The results showed the C and C++ languages as faster in a test suite with 8 different programming languages implementing the discrete Wavelet transform. •Digital Signal Processing usually demands high computational cost.•8 programming languages are compared implementing discrete wavelet transform.•C, C++ and Java presented the best performance.•The choice of programming language can directly influence the research process.