A low delay convolution algorithm based on cloud hybrid system
Xilong Cai, Yonghao Wang, Wei Hu, Xiangyu Zhu · 2019
In recent years, mobile device hardware technology has developed very rapidly, and mobile terminals have quickly occupied the vast market with their convenience. The demand for audio processing on smart mobile terminals is increasing, and most of them are real-time environments. However, due to the limitation of performance and endurance, traditional audio architectures and algorithms cannot meet increasingly complex performance requirements. Therefore, a new system architecture and algorithm pattern are urgently needed to implement zero-delay convolution real-time signal processing on mobile terminals with limited performance. The rise of cloud computing has made it a reality. This architecture consists of two parts, the allocation algorithm and the implementation algorithm, to achieve low latency in the audio transmission process. The experimental results show that the architecture can achieve zero-delay convolution real-time signal processing on mobile terminals with limited performance.