Explore MATLAB source code curated for "SNR" with clean implementations, documentation, and examples.
Simulation of Minimum Mean Square Error (MMSE) and Signal-to-Noise Ratio (SNR) algorithms to obtain optimal weights for adaptive filtering, achieving anti-interference capabilities through computational optimization
This collection provides thorough SNR summarization covering various definitions, computational algorithms, and practical implementation examples with MATLAB/Python code snippets, serving as valuable reference material for both learners and researchers investigating signal processing techniques.
Evaluation of image structural similarity incorporating additional contrast parameters such as MSE, SNR, and PSNR, with code implementation insights for image quality assessment algorithms
Implementation of OFDM signal generation and decoding using 16-QAM and 64-QAM modulation techniques. This MATLAB-based model demonstrates OFDM systems commonly used in WiMAX and various wireless communication standards. The simulation includes an AWGN channel block where users can test system performance by adjusting different SNR values. Key implementation aspects include QAM modulation/demodulation, IFFT/FFT operations for orthogonal subcarriers, and cyclic prefix insertion/removal for mitigating inter-symbol interference.
This project focuses on the analysis and design of a minimum mean-square error (MMSE) multiuser receiver for uniformly quantized synchronous code division multiple access (CDMA) signals in additive white Gaussian noise (AWGN) channels. The implementation leverages the gain-plus-additive-noise quantization model and evaluates receiver performance through weight vector computation and signal-to-interference ratio (SIR) analysis.
Speech Enhancement Results Evaluation Framework featuring four speech quality assessment methods: Signal-to-Noise Ratio (SNR), Segmental SNR (segSNR), Log Spectral Distance (LSD), and Perceptual Evaluation of Speech Quality (PESQ). Includes MATLAB implementation files for generating speech files with specified SNR levels. Also applicable to speech quality evaluation in other domains.
This MATLAB implementation demonstrates a complete OFDM transceiver system with comprehensive BER vs SNR performance analysis, showcasing key signal processing techniques used in modern wireless communication systems.
Array Signal Processing, Performance Analysis of Multiple MUSIC Algorithms, Root Mean Square Error (RMSE), Signal-to-Noise Ratio (SNR)
Implementation of algorithms for calculating Signal-to-Noise Ratio and Mean Squared Error functions with code-level explanations
Function for converting Signal-to-Noise Ratio (SNR) to Energy per Bit to Noise Power Spectral Density Ratio (Eb/N0) with bandwidth and bit rate parameters