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Uniform patterns based area-efficient and accurate stochastic computing finite impulse response filter.

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Summary
This summary is machine-generated.

This study introduces a new design for stochastic computing filters, improving accuracy and efficiency. The proposed method uses specific patterns to reduce errors in digital finite impulse response filters.

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Area of Science:

  • Digital electronics
  • Computer architecture
  • Signal processing

Background:

  • Stochastic computing offers low hardware complexity and fault tolerance.
  • Stochastic computing circuits face accuracy challenges due to various errors.

Purpose of the Study:

  • To design an accurate and area-efficient stochastic computing based digital finite impulse response (FIR) filter.
  • To analyze and reduce output errors in stochastic computing filters.

Main Methods:

  • Utilizing constant uniform patterns as stochastic numbers for MUX select lines.
  • Analyzing filter error performance based on pattern combinations.
  • Proposing architectures for generating uniform patterns.

Main Results:

  • The proposed design demonstrates superior error performance compared to existing methods.
  • Achieved comparable hardware complexity to state-of-the-art implementations.
  • Identified effective pattern combinations for significant error reduction.

Conclusions:

  • The developed design methodology enhances accuracy and efficiency in stochastic computing FIR filters.
  • Constant uniform patterns effectively mitigate errors in stochastic circuits.
  • The proposed approach is a viable solution for reliable stochastic computing applications.