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This paper deals with the problem of speech enhancement when
only a corrupted speech signal is available for processing. Kalman
filtering is known as an effective speech enhancement technique,
in which speech signal is usually modeled as autore
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二阶自回归信号模型AR(2) 希望能对大家有用 献给大家了-Signal model of second-order autoregressive AR (2) useful for all of us hope that we all have had a dedicated
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这篇文章为随即和非随机的散射环境中造成的信封衰落提供了一个AR模型。它展示了至少需要一个二阶AR过程去建立一个伏在接收信封内在的阻尼正弦自动/交叉相关函数的模型。通过对模拟值的比较得到使用模型可以得到与理论值近似的值。模型基于的仿真过程被用来与JACK仿真器在随机分散事件中作比较。-his work presents an autoregressive (AR) model
for fading envelope influenced by isotropic and
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Parameter identifi cation for a single-degree-of-freedom
system using autoregressive moving average model:
Application to cutting system
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DCT of autoregressive model *Fesih-DCT of autoregressive model *Fesih
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The code performs the simulation of time series with autoregressive fractionally integrated moving average (ARFIMA) models that generalize ARIMA (autoregressive integrated moving average) and ARMA autoregressive moving average models. ARFIMA models a
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