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 ...

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 ...

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 ...

As defined by the IEEE 754 standard, floating-point values are represented in three fields: a significand or mantissa, a sign bit for the significand and an exponent field. The exponent is a biased ...

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 ...

Migrating floating-point algorithms to fixed-point platforms got significantly easier for users of the Mathworks' Matlab model-based development environment. Catalytic's Fixed-Point DSP Studio helps ...

Altera’s DSP Builder Advanced Blockset™ Design Flow Verified by BDTI, the Industry's Most Trusted Source of Independent DSP Technology Analysis San Jose, Calif., October 29, 2012— Altera ...

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 ...

Targeting automotive radar, among other applications, Texas Instruments (www.ti.com) has introduced a family of fixed-point digital signal controllers that are hardware- and software-compatible with ...

The traditional view is that the floating-point number format is superior to the fixed-point number format when it comes to representing sound digitally. In fact, while it may be counter-intuitive, ...