研究目的
Investigating the performance of a new frequency counter based on the linear regression algorithm, comparing it to traditional counters, and analyzing its noise rejection properties.
研究成果
The (cid:2) counter, based on the linear regression algorithm, offers superior noise rejection compared to traditional counters, particularly for white phase noise. Its implementation on modern digital electronics is feasible, providing a valuable tool for precise frequency measurement and noise analysis.
研究不足
The study focuses on white phase noise rejection, potentially overlooking other noise types. The implementation complexity of the (cid:2) counter may limit its applicability in simpler systems.
1：Experimental Design and Method Selection:
The study employs the linear regression algorithm for frequency estimation, comparing it with traditional methods. Theoretical models and algorithms are detailed for the new (cid:2) counter.
2：Sample Selection and Data Sources:
The analysis uses simulated and real-world data from electronic signals, focusing on noise characteristics and frequency stability.
3：List of Experimental Equipment and Materials:
A system on chip (SoC) implementation based on a Xilinx Zedboard is described, including its specifications and use in the experiment.
4：Experimental Procedures and Operational Workflow:
The process involves setting up the SoC, collecting time stamps, applying the LR algorithm, and comparing results with traditional counters.
5：Data Analysis Methods:
Statistical analysis of frequency stability and noise rejection is performed, including variance calculation and comparison with theoretical predictions.
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