Estimating Rapidly Varying Frequencies in the Presence of Noise

摘要：

A variable window length least-squares fitting and the interpolated fast Fourier transform methods are used to estimate the rapidly changing frequency of a signal with measurement noise. The least-squares method is computationally more expensive, but provides more accurate frequency estimates.

关键词： frequency estimation interpolated fast Fourier transform phase estimation least squares

作者: Eric Machorro

作者单位: Data Analysis Group National Security Technologies, LLC Las Vegas, Nevada

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 131-134

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）