Abstract: In order to solve the contradiction between real-time spectrum analysis and resource limitation in embedded audio processing, this paper proposes an efficient FFT algorithm based on mixed ...

One of the biggest barriers to using AI successfully is bias, which is one of the terms we defined last time, as follows: Bias, in a general context, refers to a predisposition or inclination towards ...

Being done in PipelineC it's possible to automatically pipeline both the math of some RISC-V instructions as well as the arbitrary pure functions that describe the custom compute pipelines attached to ...

Fourier transform is a key method for analyzing signals in both time and frequency domains. The FFT is a computational algorithm that efficiently computes the discrete Fourier transform (DFT) and its ...

University of Calgary provides funding as a founding partner of The Conversation CA. University of Calgary provides funding as a member of The Conversation CA-FR. A public interest group filed a U.S.

In part 2 of this series, we looked at a swept-tuned spectrum analyzer and how it could sweep a frequency span of interest from 1 MHz to 1.1 MHz with a sweep time of 50 msec. As Figure 1 shows, the ...

The rise of high-speed internet in the early 2000s transformed the global labor market for high-skilled labor. As email, instant messaging, and voice over internet calling (e.g., Skype) became ...