线性预测
将线性预测系数 (LPC) 转换为倒频谱系数、LSF、LSP、RC，反之亦然
线性预测将离散时间信号的将来值估计为先前值的线性函数。DSP System Toolbox™ 中的 Autocorrelation LPC 模块确定 N 步前向线性预测器的系数。线性预测器是一种 FIR 滤波器，它根据当前和过去的输入预测序列中的下一个值。有关说明此工作流的示例，请参阅Estimate Data Series Using Forward Linear Predictor。线性预测可应用于滤波器设计、语音编码、频谱分析和系统辨识等领域。
在数字信号处理中，线性预测通常称为线性预测编码 (LPC)。DSP System Toolbox 提供 Simulink® 模块，用于将线性预测系数转换为倒频谱系数、反射系数 (RC)、自相关系数、线频谱频率 (LSF)，反之亦然。
模块
| Autocorrelation LPC | Determine coefficients of Nth-order forward linear predictors |
| Levinson-Durbin | Solve linear system of equations using Levinson-Durbin recursion |
| LPC to LSF/LSP Conversion | Convert linear prediction coefficients to line spectral pairs or line spectral frequencies |
| LPC to/from Cepstral Coefficients | Convert linear prediction coefficients to cepstral coefficients or cepstral coefficients to linear prediction coefficients |
| LPC to/from RC | Convert linear prediction coefficients to reflection coefficients or reflection coefficients to linear prediction coefficients |
| LPC/RC to Autocorrelation | Convert linear prediction coefficients or reflection coefficients to autocorrelation coefficients |
| LSF/LSP to LPC Conversion | Convert line spectral frequencies or line spectral pairs to linear prediction coefficients |
主题
- Estimate Data Series Using Forward Linear Predictor
Use the Autocorrelation LPC block to estimate the future values of signal.
精选示例
LPC Analysis and Synthesis of Speech
Implement a speech compression technique known as Linear Predictive Coding (LPC) using DSP System Toolbox™ functionality available at the MATLAB® command line.
