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Episode 37: The Relationship Between Audio Processing and SRAM Test Algorithms

By July 8, 2025July 18th, 2025No Comments

In audio application scenarios that demand high real-time performance and data accuracy, memory stability is increasingly becoming a critical aspect during both the design and testing phases.
The relationship between audio processing and SRAM testing algorithms highlights why, even though audio systems do not fall within traditional high-reliability domains, they impose equally stringent — and sometimes even more demanding — requirements on SRAM performance.

Key Highlights of This Episode:
Application Background & Technical Demands

  • Common audio system functions such as noise reduction, decoding, and echo cancellation rely heavily on SRAM for high-speed data buffering and computation.
  • The high-frequency and continuous data read/write operations expose potential risks in SRAM related to data retention and sustained access.
  • Furthermore, the working environments of mobile devices — such as high temperatures and voltage fluctuations — present additional challenges to SRAM reliability.

Corresponding Strategies in Test Algorithms
This episode discusses algorithm design directions tailored to the specific characteristics of audio applications, including:

  • Retention-Aware March Test
    Introducing delay cycles to simulate data dwell time, improving the detection of retention faults. This is especially suitable for low-power audio devices (e.g., earbuds, hearing aids).

  • At-Speed March Read-Write
    Simulates real-world buffer behavior at operational frequency, effectively uncovering fault types that occur only under high-speed operation (e.g., transition faults, coupling faults).

  • Data Pattern Sensitivity
    Utilizes common audio data patterns (such as interleaved 1010/0101) for testing to improve the detection rate of pattern-sensitive faults.

Application Insights & Design Recommendations

  • Testing strategies should be enhanced to address continuous high-speed access and data retention capabilities.
  • Test scenarios should reflect practical audio processing use cases — for example, focusing on “read-heavy, write-light” behavior and “low-latency, high-frequency response” in the test flow design.
  • The User Defined Algorithm (UDA) platform offers highly flexible configuration capabilities, enabling engineering teams to optimize test structures according to specific application requirements.