Explore MATLAB source code curated for "信噪比" with clean implementations, documentation, and examples.
Building an energy detection model for cognitive radio spectrum sensing and generating probability of false alarm (pf) and probability of detection (pd) under varying SNR conditions
MATLAB source code for sea clutter simulation and cyclic cancellation-based clutter suppression, including target echoes under different signal-to-noise ratios and a least squares-implemented filter for effective clutter removal
Given: Signal center wavelength = 2, antenna element spacing = 1 meter, snapshot number = 2000, four source signals in space with known frequencies and directions. Required: 1) Analyze covariance matrix eigenvalues without noise and explain their characteristics. 2) Apply MUSIC, CAPON, and ESPRIT algorithms for DOA estimation under four scenarios (noise-free and 10dB SNR with white Gaussian noise) and plot spatial spectra. 3) Plot DOA estimation error curves versus SNR (-20dB to +20dB) using all three algorithms.
This program implements a subspace-based Projection Approximation Subspace Tracking (PAST) multiuser detection method in DS-CDMA links. The system employs m-sequence spreading and supports both Gaussian and Rayleigh channels. Users can directly execute the code to obtain Bit Error Rate (BER) curves across various Signal-to-Noise Ratio (SNR) conditions. The implementation includes key algorithmic components such as subspace estimation, adaptive weight calculation, and interference cancellation mechanisms.
A program for calculating signal-to-noise ratio in digital signal analysis and vibration signal processing applications, featuring implementation with signal power estimation and noise floor detection algorithms
Calculating the Signal-to-Noise Ratio After Denoising - Shared for Collective Discussion and Technical Implementation Approaches
Performing FFT transformation on sine wave signals to plot spectrum diagrams and conduct spectral analysis, enabling signal-to-noise ratio calculation with MATLAB code implementation
Read a 256*256 image, divide it into 8*8 pixel blocks, apply DCT transformation to each block, retain specified coefficients in zigzag order, reconstruct the image using IDCT, and calculate the signal-to-noise ratio of the reconstructed output
Comprehensive analysis of Bit Error Rate performance in Orthogonal Frequency Division Multiplexing (OFDM) systems across varying Signal-to-Noise Ratio (SNR) conditions, featuring MATLAB implementation insights and algorithm explanations
Implementation of MMSE algorithm for DS-CDMA systems featuring BER performance simulation curves across different SNR values, including code structure and signal processing workflows.