Professional MATLAB source code with comprehensive documentation and examples
This code provides simulation implementation of cyclostationary feature detection algorithm for cognitive radio spectrum sensing, including key signal processing functions and statistical analysis components.
The system allows customizable input signal angles of arrival and implements wideband beamforming through ESPRIT and MUSIC algorithms, with potential for performance optimization via code modifications.
Implementation of MFSK modulation technique for reliable underwater acoustic communication with frequency-hopping signal transmission
Localization techniques using trilateration and maximum likelihood estimation in wireless sensor networks, with comprehensive error analysis and algorithmic comparisons
MATLAB Implementation of Linear PCM, A-Law PCM, and μ-Law PCM Encoding Algorithms
MATLAB simulation program for channel estimation in ultra-wideband systems using Multi-Band Orthogonal Frequency Division Multiplexing (MB-OFDM) technology
Source code implementation for constellation diagram demodulation based on IEEE 802.11a standard, covering BPSK, QPSK, 16QAM, and 64QAM modulation schemes with digital signal processing algorithms.
This code implements LMS-based adaptive beamforming algorithm with high-quality source code featuring optimized weight vector updates and real-time interference suppression capabilities.
A comprehensive ADPCM (Adaptive Differential Pulse Code Modulation) audio codec implementation using MATLAB, featuring detailed algorithm explanation and code structure analysis.
This project implements a QAM communication system simulation using MATLAB, providing valuable insights for academic learning and professional applications in digital communications.
Implementing and analyzing energy detection spectrum sensing algorithm through MATLAB simulation with detailed code implementation and performance evaluation
MATLAB simulation source code for three Direction of Arrival (DOA) estimation algorithms: Beamforming, Capon, and MUSIC, including 3D visualization plots.
Source code analysis of LTE's Random Access Channel, covering both transmitter and receiver implementations with detailed code-level descriptions
Sparse coding program implementation - To run the SparseNet package, you need to first compile the conjugate gradient (CGF) routine to enable MATLAB interface calling for optimization procedures.
Based on adaptive array theory, this paper presents a main beam shaping algorithm for arbitrary linear antenna arrays. The method iteratively obtains an optimal set of weighting coefficients to minimize the discrepancy between the weighted shaped rad
Implementation of a 64-subcarrier OFDM system with Viterbi encoding and 16QAM modulation over Gaussian channels, including key algorithmic components and performance characteristics.
I've noticed some colleagues searching for resources on Monte Carlo simulation applications in communications. Since this method is widely used across communication systems for performance analysis and algorithm validation, I'm sharing my collected m
This resource provides valuable materials on tracking and acquisition in spread spectrum communications, offering significant assistance for receiver design and implementation through practical code-level insights.
Modulation information in communication signals is embedded in variations of instantaneous amplitude, phase, and frequency, with different signals exhibiting unique spectral characteristics. By extracting statistical parameters from instantaneous amp
The single-layer perceptron neuron model demonstrates how input vectors are transformed into binary outputs (0 or 1) through geometric interpretation in vector space, implemented using weighted summation and activation functions.