A Program for Pitch Period Detection Using Autocorrelation Method
A self-developed program utilizing autocorrelation method for pitch period extraction in speech signals, featuring signal preprocessing and pitch tracking capabilities.
Modern Spectral Estimation Using AR Models
Implementation and comparative analysis of modern spectral estimation methods including autocorrelation method, covariance method, and Burg method based on AR models, with performance evaluation and comparison against classical spectral estimation techniques.
Determining Time Delay for Chaotic Time Series Reconstruction Using Autocorrelation Method
This program implements the autocorrelation method to calculate the optimal time delay parameter for reconstructing chaotic time series from observed data.
Comparative Analysis of Various Algorithms for Power Spectrum Estimation Using AR Modeling Methods
Comparison of various algorithms for power spectrum estimation using AR modeling approaches, including Autocorrelation Method, Burg Algorithm, ARMA Model Estimation, and Pisarenko Harmonic Decomposition Method
Implementation of the Phase Difference Method Proposed by Wang Fenghua et al.
Implementation of the phase difference method proposed by Wang Fenghua et al., primarily used for extracting instantaneous frequency in signal processing. Note that this method is only suitable for single-component signals. Additionally, another approach for determining instantaneous frequency uses the autocorrelation method.
Pitch Frequency Extraction from WAV Files Using MATLAB
Implementing pitch frequency extraction from WAV files in MATLAB using various algorithms including autocorrelation method, average magnitude difference function (AMDF), and cepstrum analysis with code implementation details.
MATLAB Program for Power Spectrum Calculation with Multiple Algorithm Implementations
This MATLAB program collection implements various power spectrum estimation methods including Autocorrelation method, MUSIC algorithm, Burg method, and ESPRIT algorithm for comprehensive spectral analysis.
Extracting Speech Signal Fundamental Frequency Using Autocorrelation Method
Implementation of fundamental frequency extraction using autocorrelation method with center-clipping technique for signal preprocessing, providing a reference implementation approach.
Power Spectral Density Simulation Comparison
This program performs power spectral density simulation comparisons using three signal sources described in "Introduction to Modern Digital Signal Processing" Volume 1, Page 202, Exercise 5. The implementation employs three spectral estimation methods: Periodogram method, Autocorrelation method, and Covariance method, with MATLAB code demonstrating different algorithmic approaches for spectrum analysis.