Native Floating-Point HDL code generation allows you to generate VHDL or Verilog for floating-point implementation in hardware without the effort of fixed-point conversion. Native Floating-Point HDL ...
Migrating signal-processing algorithms from floating- to fixed-point is often necessary to meet various design constraints, including real-time performance, cost and power dissipation. The migration ...
Floating-point arithmetic is a cornerstone of numerical computation, enabling the approximate representation of real numbers in a format that balances range and precision. Its widespread applicability ...
In a recent survey conducted by AccelChip Inc. (recently acquired by Xilinx), 53% of the respondents identified floating- to fixed-point conversion as the most difficult aspect of implementing an ...
Today’s digital signal processing applications such as radar, echo cancellation, and image processing are demanding more dynamic range and computation accuracy. Floating-point arithmetic units offer ...
This paper describes how to optimize typical Frequency Modulated Continuous Wave (FMCW) radar range-doppler signal processing algorithm kernels using both fixed-point and floating-point computations ...
ABSTRACT.We describe a compression method for floating-point astronomical images that gives compression ratios of 6–10 while still preserving the scientifically important information in the image. The ...
Real-time control systems serve as the nerve centres for numerous critical applications. These systems orchestrate a delicate balance of sensing, processing, and actuating, and their significance ...
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