Abstract: The present invention discloses a floating point processor prototype of multi-channel data. An architecture comprises the following steps: arranging structural data, semi-structured data and unstructured data into a three-way array; decomposing the three-way array into a matrix pattern of a second-order tensor by using higher-order singular value decomposition; and converting the matrix pattern into a sparse domain to conduct block floating point quantization. A floating point processor prototype of multi-channel data is built.