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快速自适应算法结合高速处理器件在跳频电台频率估计中的应用.pdf-Fast adaptive algorithm combines high-speed processing devices in the frequency-hopping radio frequency estimation application. Pdf
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跳频信号时-频域分析与参数盲估计方法.pdf-Frequency hopping signals- Frequency domain analysis and parameter estimation methods blind. Pdf
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ML estimation of time and frequency offset in OFDM systems
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一种基于互局部化Wigner—Ville分布的瞬时频率估计-Based on each local Wigner-Ville distribution of the instantaneous frequency estimation
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Time- Frequency- Selective Channel Estimation of OFDM Systems
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channel estimation is single carrier frequency division multiple access also called as DFT spread OFDM.
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关于频域信道估计的最新优秀论文,在MIMO-OFDM领域研究的朋友,请下载学习-With regard to the frequency domain channel estimation of the excellent essays in the MIMO-OFDM research in the field of friends, please download the learning
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一种大范围高精度的OFDM频偏估计新方法-A New OFDM Frequency estimation method
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ML估计的高效的OFDM整数倍频偏估计算法-ML OFDM Frequency estimation method
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关于高精度频率估计算法的研究，个人感觉比较有用，与大家分享-On high-precision frequency estimation algorithm, individuals feel more useful to share with you
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几种频率估计算法的精度分析，感觉挺好，分享-Several frequency estimation accuracy of analysis, feeling good, sharing
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This is a file for Blind frequency offset
estimation for overlap PCC-OFDM systems
in presence of phase noise
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Analysis of Joint Angle-Frequency Estimation Using ESPRIT
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Efficient Computation of Joint Direction-Of-Arrival and Frequency Estimation
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some articles about single-tone frequency estimation
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In this paper, we firstly construct a wide-band undersampling array, then present a novel frequency and
direction of arrival (DOA) estimation method for a very wide frequency band (2-18GHz). Choosing a set
of appropriate sampling frequencies and
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基于FFT的频偏估计方法，这是几篇文章。希望能帮到你。-FFT-based frequency estimation method, which is a few articles. I hope you can help.
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This folder gives various frequency estimation techniques that are very useful for phasor and frequency estimation.All the algorithms are applied to electrical Engineering problems.
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将最新的SVM技术应用于频率估计方面，一篇很好的博士论文-At present, the latest SVM technology in the application of frequency estimation, a doctoral dissertation
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