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Everything about Fixed-point arithmetic

Computer format for representing real numbers

In computing, fixed-point is a method of representing fractional (non-integer) numbers by storing a fixed number of digits of their fractional part. Dollar amounts, for example, are often stored with exactly two fractional digits, representing the cents. More generally, the term may refer to representing fractional values as integer multiples of some fixed small unit, e.g., a fractional amount of hours as an integer multiple of ten-minute intervals. Fixed-point number representation is often contrasted to the more complicated and computationally demanding floating-point representation. Wikipedia →

đź§­ Start here: a 6-step reading path

  1. Read the overview: Fixed-point arithmeticA 5-minute orientation
  2. Skim a recent paper: A Masked Hardware Accelerator for Feed-Forward Neural Networks With Fixed-Point ArithmeticInfluential work since 2022
  3. Pick up a classic book: A planar approximation for the least reliable bit log-likelihood ratio of 8-PSK modulationThe most-reprinted book on the subject
  4. Read the landmark paper: Offline geometric parameters for automatic signature verification using fixed-point arithmeticCited 241 times
  5. Go sideways: Single-precision floating-point formatA closely related topic
  6. Go sideways: Scale factor (computer science)A closely related topic

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🏆 Landmark papers (most cited)

🆕 Influential since 2022

📚 Books worth reading

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

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