Explore MATLAB source code curated for "AR模型" with clean implementations, documentation, and examples.
This repository contains six folders featuring implementations of AR model using Burg's algorithm, power spectral estimation, Wiener filtering, AR model all-pole modeling, and related signal processing techniques with MATLAB/Python code examples.
MATLAB implementations for time series analysis, encompassing Autoregressive (AR) and Autoregressive Moving Average (ARMA) model development and application
Source code implementations of digital signal processing algorithms including AR model, BT algorithm, LS, RLS, LMS, MUSIC, and other signal processing techniques with detailed code-related explanations
MATLAB programming for Wiener filter implementation in digital signal experiments, featuring AR model parameter estimation and excellent filtering performance using modern signal processing techniques.
A MATLAB implementation of power spectrum estimation for multi-frequency sinusoidal signals using autoregressive (AR) modeling with Levinson algorithm, optimal order determination, and comparison with built-in functions.
Implementation of data input from files, AR model prediction, ARMA model prediction, and Kalman filter model prediction using a graphical user interface - featuring file I/O operations, time series forecasting algorithms, and interactive GUI components
Detailed implementation of AIC-based order selection for AR models with comprehensive code annotations and step-by-step explanation of the 5th-order modeling process
Comprehensive guide to AR model parameter estimation using Levinson-Durbin algorithm, including computational approaches and practical implementations
AR Parameter Estimation for Speech Signals with Linear Predictive Coding Implementation