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Signal Processing Toolbox™ 提供参数化建模方法,可让您估计描述信号、系统或过程的有理传递函数。使用信号的已知信息来查找对其建模的线性系统的系数。使用 Prony 和 Steiglitz-McBride ARX 模型逼近给定的时域脉冲响应。找到与给定复频率响应匹配的模拟或数字传递函数。使用线性预测滤波器对共振建模。
Linear Prediction and Autoregressive Modeling
Compare two methods for determining the parameters of a linear filter: autoregressive modeling and linear prediction.
AR Order Selection with Partial Autocorrelation Sequence
Assess the order of an autoregressive model using the partial autocorrelation sequence.
Study techniques that find the parameters for a mathematical model describing a signal, system, or process.
Obtain the prediction polynomial from an autocorrelation sequence. Verify that the resulting prediction polynomial has an inverse that produces a stable all-pole filter.