Implementing a Radar Simulation Program with MATLAB
Developing a radar simulation program in the MATLAB environment involves comprehensive algorithm design and implementation.
Professional MATLAB source code with comprehensive documentation and examples
Developing a radar simulation program in the MATLAB environment involves comprehensive algorithm design and implementation.
Develop a MATLAB program to plot ECG signals, locate R-wave positions (provided in the dataset), calculate cardiac cycles, and generate a heart rate versus time curve to distinguish between normal and abnormal heart rhythms. Includes implementation d
Advanced EMD decomposition and Hilbert transform programs originally developed by American researchers, providing optimal reference for HHT-based signal analysis and processing. Features comprehensive code annotations explaining algorithm implementat
Three-phase shunt active power filter implementing ip-iq current detection based on instantaneous reactive power theory and triangle wave comparison control for harmonic current suppression, featuring digital signal processing implementation and PWM
MATLAB Simulation of Array Signal Processing and HA Algorithm for Spatio-Temporal Anti-Jamming Interference Suppression
PAMI2015 Kernelized Correlation Filter Tracking Method with 32-bit System Compatibility through gradientMex.mex32 File Support
Application Background In analyzing filter bank-based OFDM systems, comprehensive time-frequency characterization of filter banks is essential, which requires specialized analysis programs. Common filters like Gaussian, IOTA, and EGF are frequently s
Wavelet packet transform demonstrates enhanced effectiveness in removing baseline drift and motion artifacts from pulse wave signals compared to conventional wavelet transform methods, with improved signal decomposition capabilities for more precise
This radar image processing software is designed for interferogram generation and operates within the MATLAB environment, featuring advanced image processing algorithms for comprehensive radar data analysis.
A method for texture feature extraction in image retrieval. This paper presents an analytical approach based on Gabor filters and Gabor wavelet transforms for extracting texture features, with Gaussian normalization applied to Gabor wavelets to impro
BACKPROJ employs filtered or unfiltered backprojection algorithms to execute the inverse Radon transform. The filter is designed directly in the frequency domain and multiplied with the FFT of projections. Projections undergo zero-padding to a power
Implementation of convolutional code encoding with Viterbi algorithm decoding, including generation of SNR vs BER performance curves with code implementation details.
A comprehensive MATLAB program for designing and simulating Moving Target Detection (MTD) filters for radar signal processing applications, including algorithm implementation and performance analysis.
Various methods for power spectrum estimation via Fourier Transform: Periodogram method, Modified Periodogram with segmentation, Welch's method for reduced variance, Multitaper Method (MTM) using multiple orthogonal windows, Maximum Entropy Method (M
This archive contains ready-to-run MATLAB source code for implementing a Least Mean Square (LMS) adaptive filter, complete with technical documentation
Signal extraction using wavelets involves hierarchical decomposition of signals followed by spectral analysis at each decomposition level, with implementation typically utilizing wavelet transform functions and frequency spectrum plotting methods.
This MATLAB implementation reduces speckle noise in SAR images through a hybrid approach combining wavelet frequency-domain filtering with three cascaded time-domain filters. The code requires modifications for proper PSNR calculation and wavelet den
Implementation of Classical Power Spectrum Estimation using Averaged Periodogram Method with Detailed Code Comments
Apply Fast Fourier Transform (FFT) to input images, extract magnitude and phase components for separate reconstruction, and compare restoration results using MATLAB/Python implementation examples
1. Master discrete signal spectrum analysis methods including Sequence Fourier Transform, Discrete Fourier Series, Discrete Fourier Transform, and Fast Fourier Transform, with emphasis on understanding their interrelationships and implementing them u