ARMA Time Series Model for Signal Processing
A MATLAB-based ARMA time series model signal processing program for vibration signal analysis, simulation and other signal processing applications with comprehensive algorithm implementations
MATLAB-Based Radar SAR Imaging Auto-Focusing Algorithm
This MATLAB-based radar SAR imaging auto-focusing algorithm provides valuable learning material for radar signal processing students and practitioners. The implementation demonstrates key concepts in synthetic aperture radar (SAR) image formation and phase error correction techniques.
Design of Butterworth, Chebyshev Type I/II, and Elliptic Filters with ECG Low-Pass Processing
Implementation of Butterworth, Chebyshev Type I, Type II, and elliptic filters for low-pass processing of electrocardiogram (ECG) signals, including algorithm comparisons and performance validation.
CRB Curves for Uniform Linear Arrays
CRB curves application for uniform linear arrays in array signal processing problems, with implementation considerations for algorithm optimization
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.
Signal Processing Super Learning Handbook Program Code
Comprehensive collection of MATLAB code examples from the Signal Processing Super Learning Handbook, featuring practical implementations of signal processing algorithms including FFT, digital filtering, and spectral analysis techniques to enhance learning outcomes.
Signal Processing: QPSK Modulation and Demodulation with MATLAB Code Implementation
A collection of 14 MATLAB signal processing programs including QPSK modulation/demodulation implementations, equalization techniques, OFDM simulations, wavelet transformations, Kalman filtering algorithms, and more with detailed code explanations
MATLAB Doppler Radar Signal Simulation and Processing
Application Background: Basic process of pulse Doppler radar signal generation and processing, including signal simulation (Gaussian white noise), signal processing (MTI processing, constant false alarm rate), etc. Key Technologies: • s3.m is the main script implementing pulse Doppler radar signal processing flow, featuring Doppler radar phase-coherent simulation and MTI (Moving Target Indicator) processing algorithms • OS-CFAR.m function performs Ordered Statistics Constant False Alarm Rate processing with configurable detection threshold calculation • Pf.m function computes false alarm probability (Pf) given parameters 2L (total data length), m (selected detection cell), and T (quality factor) - used in research papers for optimal quality factor selection
MATLAB Implementation of Prony Signal Processing Method
This MATLAB code implements the Prony signal processing method for exponential signal parameter estimation and analysis, featuring algorithm demonstration with synthetic data examples.
SAR Point Target Simulation Principles
Principles and Implementation of SAR Point Target Simulation, Radar Technology, and Signal Processing Applications with Code-Related Descriptions