Abstract
Nowadays Tables and Smart phones are equipped with low power processor. Some of them, like the NVIDIA Tegra SoC, also come with a GPU integrated so that both, the CPU and the GPU have access directly to the same RAM memory. In another vein, one the main limitations of microphone array algorithms for audio processing is the high computational cost required to reproduce real acoustics environments when real-time signal processing is absolutely required. One of these algorithms is the Beamforming Algorithm, which is used to recover acoustic signals from their observations when they are corrupted by noise, reverberation and other interfering signals. In order to achieve real-time processing executing this algorithm we have employed high performance libraries such as OPENBLAS, LAPACK, CUBLAS, PLASMA and MAGMA, and a particular tune programming for these mobile devices.
