Field-Programmable Gate Arrays (FPGAs) typically use fixed-point processors when performing floating-point operations, as this approach can effectively reduce hardware resource consumption and improve computational speed. FPGAs can also perform floating-point operations directly, but this method usually consumes more hardware resources and may reduce computational speed. Therefore, other algorithms can be used to optimize FPGA’s computation of floating-point numbers, improving computational accuracy while reducing resource consumption. Block Floating Point (BFP) has a wide range of applications in FPGA design. BFP is an algorithm used in digital signal processing. It is a method to optimize floating-point operations in computers, which can reduce memory and processor load while improving accuracy.