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This paper deals with the problem of speech enhancement when a
corrupted speech signal with an additive colored noise is the only
information available for processing. Kalman filtering is known as
an effective speech enhancement technique, in w
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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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this file has codes that describes how to ccmpute the signal spectrum , the power spectrum, how to calculate the autocorrelation sequence of a signal, how to calculate the autoregressive coeffecients of a signal,and how to reduce the noisy elements i
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This about Applications of signal modelling using autoregressive models of amplitude modulation-This is about Applications of signal modelling using autoregressive models of amplitude modulation
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该算法用于自回归输入模型，是一种迭代的算法。其基本思想是基于对数据先进行一次滤波处理，后利用普通最小二乘法对滤波后的数据进行辨识，进而获得无偏一致估计。但是当过程的输出信噪比比较大或模型参数较多时，这种数据白色化处理的可靠性就会下降，辨识结果往往会是有偏估计。数据要充分多，否则辨识精度下降。模型阶次不宜过高。初始值对辨识结果有较大影响。-The algorithm used for autoregressive input model, it is a kind of iterative alg
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基于自回归,全极点的AR模型,对随机信号的进行的功率谱估计。-Based on the autoregressive all-pole AR model estimated the conducted power spectrum of the random signal.
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数字信号处理的自回归模型matlab的仿真程序-The autoregressive model digital signal processing matlab simulation program
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线性预测(LPC)语音信号编码与解码（包括轻音与浊音的产生，自回归过程等）-Linear prediction (LPC) speech signal coding and decoding (including the generation of light tone and dullness, autoregressive process, etc.)
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This paper proposes a new variant of the least square autoregressive (LSAR) method for speech reconstruction, which can estimate
via least squares a segment of missing samples by applying the linear
prediction (LP) model of speech. First, we show t
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非平稳信号分析与处理,可用于特征提取，将AR模型扩展应用于非平稳时间序列，得到具有时变系数的时变自回归(time-varying autoregressive, TVAR)模型。(nonstationary random signal analysis and processing)
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对输入信号进行AR自回归计算，计算出AR模型谱估计的值，对之后的计算提供帮助。(AR autoregressive calculation for input signal)
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