Real-time microwave frequency variation (MFV) measurement is crucial for a wide range of applications. However, current solutions often fall short in terms of resolution, speed and range. We present a novel technique that leverages the sine-cosine encoder principle, enabled by a photonic delay line (PhDL), to detect rapid MFV in real-time with ultra-high resolution.

Real-time microwave frequency variation (MFV) measurement is crucial for a wide range of applications. However, current solutions often fall short in terms of resolution, speed and range. We present a novel technique that leverages the sine-cosine encoder principle, enabled by a photonic delay line (PhDL), to detect rapid MFV in real-time with ultra-high resolution.

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This is a voiceprint dataset with speaker's normal voice and special voice.

We recruited user test participants by snowballing. We directly invited 34 participants, all of them are family members, friends and classmates of the authors, ranging in age from 16 to 55, with similar technical backgrounds. Next, the involved participants further invited their relatives and friends to join, then 21 additional participants joined our user study. Finally, 56 people participated in our user study.