Professional MATLAB source code with comprehensive documentation and examples
This program simulates the CDMA receiver functionality including five modules: despreading, deinterleaving, channel decoding (convolutional code), source decoding, and CRC decoding, generating signal sequences for digital baseband transmission. It al
MATLAB simulation and implementation of minimum mean square error (MMSE) signal-to-noise ratio (SNR) estimation algorithm with performance analysis
This is the official MATLAB source code accompanying the English edition of "Smart Antennas for Wireless Communications," providing valuable guidance for researchers entering the field of smart antenna algorithms. The codebase includes comprehensive
Implementation of constant beamwidth beamforming for arbitrary array geometries using Bessel function decomposition techniques, featuring algorithmic approaches and code integration strategies
Beamforming is the process of reconstructing a source signal from a sensor array through two primary approaches: (1) amplifying the contributions from desired sources and (2) suppressing interfering signals. Classical beamforming requires prior knowl
Kalman filtering techniques can be employed in wireless sensor network localization to significantly improve positioning accuracy through state prediction and measurement correction algorithms.
Implementation of MIMO radar Space-Time Adaptive Processing (STAP) algorithm utilizing Multi-Beam Digital Beamforming Radar (MDBR) technology
This MATLAB program demonstrates beamforming algorithms, providing insights into the implementation process, key functions, and scientific principles behind signal directionality enhancement in wireless communications.
Recent studies on mathematical modeling of visual cortical cells [Kulikowski/Marcelja/Bishop:1982] propose a tuned band-pass filter bank structure, characterized by Gaussian transfer functions in the frequency domain. Implementation typically involve
This study examines the Bit Error Rate (BER) performance of Massive MIMO systems, including comparative analysis with conventional wireless technologies and implementation considerations using MATLAB or Python simulations.
The relatively recent extension of MIMO systems to multi-user scenarios presents promising benefits for achieving high data rates in future cellular standards envisioned beyond 3G (Third Generation). Although substantial theoretical research has been
Code-based solution for non-cooperative game theory that computes Nash equilibrium and derives optimal payoff functions for each player, incorporating algorithmic implementations and strategic analysis.
Implementation of PCM (Pulse Code Modulation) including A-law and U-law compression algorithms for digital signal processing
Implementation of channel encoding and decoding for regular LDPC codes, featuring both MATLAB and C language versions using BP iterative decoding algorithms.
This article provides an overview of Nakagami fading channel models with code implementation insights for wireless communication simulations.
Antenna radiation patterns demonstrate algorithm performance by comparing static patterns with Chebyshev-weighted patterns featuring -30dB sidelobe levels, implemented through array-factor calculations and window function applications
This comprehensive guide presents simulation techniques for correlated multi-beam operations in MIMO systems, including practical code implementation approaches and algorithm explanations to optimize wireless communication performance.
Node localization simulation using proximity relationship graphs to model communication protocols and distance estimation algorithms.
Shared open-source TCM demodulation program developed by the author, serving as a foundational reference for researchers to explore traditional Chinese medicine through computational approaches.
Classical V-BLAST code for MIMO systems, originally developed by a PhD researcher, serves as reliable programming reference material. The code has been validated through execution and confirmed to be error-free, providing valuable insights into MIMO