A Digital Noise Signal Synthesis Method Based on a Combination of Table Look-up and Transformation

Digital noise signal synthesis methods have good scalability and flexibility, and can be divided into table look-up and transform methods depending on the implementation method. The accuracy of noise distribution synthesized by the look-up table method is limited by the storage depth, on the other hand, the maximum synthesis speed of the transform method is limited by the hardware computation speed. In this paper, we propose a new implementation method for digital noise signal synthesis, which divides the noise output into high probability intervals and low probability intervals by probability. The high probability interval noise generation is based on the look-up table method, and the low probability interval noise generation is based on the transformation method for real-time computation. The method is validated experimentally in terms of distribution accuracy, storage space occupation and output speed. The results show that the method has higher output accuracy than the look-up table method and faster output speed compared to the transformation method.