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 is the most preferred data type to ensure high-accuracy calculations for algorithm modeling and simulation. Traditionally, when you want to deploy such floating-point algorithms to FPGA ...

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 ...

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 ...

Cortus, a specialist in the development of low power, silicon efficient, 32-bit processor IP, has released the FPS26 a single precision floating point IP core. The third in a family of products based ...

To implement algorithms, digital-signal-processing (DSP) developers have had to rely upon design flows that use manual approaches. Aside from being time consuming, the manual process can invite errors ...

I am working on a viewshed* algorithm that does some floating point arithmetic. The algorithm sacrifices accuracy for speed and so only builds an approximate viewshed. The algorithm iteratively ...