| VERSION | RELEASED | COMMENTS | ||
|---|---|---|---|---|
| 1.1.0 | 2025-10-21 | Updated to the latest web publication tools, and some minor typos have been fixed. | VIEW HTML VIEW PDF | ZIP |
| View older versions | ||||
| 1.0.0 | 2024-10-17 | DOWNLOAD ZIP | ZIP | |
Summary¶
The difference between the ideal mathematical value and the actual value as processed in fixed-point arithmetic is known as quantization noise. There are many factors that can influence the level of the quantization noise, some of which that affect biquad filters are discussed below. This note focuses on Biquad filters as they have a feedback component in them that can amplify the noise.
Features¶
Describes a biquad
Describes fixed point number formats and their relation to quantization noise
Describes the quantization employed by the xcore.ai Vector Processing Unit (VPU)
Known issues¶
None
Required tools¶
None
Required libraries (dependencies)¶
None