Beamforming with 16-Element Uniform Circular Array
Beamforming implementation using a 16-element uniform circular array with target signal at 0° azimuth and 0 dB SNR, demonstrating excellent performance results
Explore MATLAB source code curated for "信噪比" with clean implementations, documentation, and examples.
Beamforming implementation using a 16-element uniform circular array with target signal at 0° azimuth and 0 dB SNR, demonstrating excellent performance results
Energy detection-based collaborative spectrum sensing in cognitive radio systems, analyzing the relationship between signal-to-noise ratio (SNR) and detection probability. The implementation compares theoretical and simulated values for both single-node and three-node configurations, demonstrating system performance through MATLAB-based simulations using energy detection algorithms and collaborative decision fusion techniques.
The beamspace MUSIC algorithm for vector arrays overcomes the limitations of element-space MUSIC implementation, which requires high signal-to-noise ratio and precise phase calibration across array elements.
The Block-Matching and 3D Filtering (BM3D) algorithm is a computationally scalable approach based on an innovative denoising strategy. It achieves state-of-the-art denoising performance in terms of both peak signal-to-noise ratio and subjective visual quality through block-matching, collaborative filtering, and wavelet-based thresholding techniques.
This implemented blind multiuser detection program using Kalman filtering simulates bit error rates under varying signal-to-noise ratio conditions, providing performance analysis capabilities through Monte Carlo simulations with adaptive filtering techniques.
This function performs Alamouti space-time coding simulation with BERT (Bit Error Rate) vs. SNR (Signal-to-Noise Ratio) curve plotting capabilities
MATLAB simulation code for second-order phase-locked loop (PLL) that accepts input signals and signal-to-noise ratio (SNR), outputs phase-locked signals. Capable of simulating initial frequency offset and frequency ramp conditions through parameter adjustments in the code.
A decoding simulation program for LDPC codes implementing the Log-BP algorithm, featuring BER and PER statistical charts across different SNR values. The implementation includes both MATLAB and C (C-MEX) versions with comprehensive documentation and code comments, demonstrating efficient message passing implementation and performance analysis capabilities.
Implementation of LMS algorithm for noise removal, where the clean signal comprises various digital modulation signals (specifically 8ASK digital amplitude modulation) and the noise is additive white Gaussian noise with customizable signal-to-noise ratio.
Simulation programs for AWGN and BSC channels with configurable signal-to-noise ratio for AWGN and adjustable bit error rate for BSC, implemented using MATLAB/Simulink for digital communication system analysis.