Explore MATLAB source code curated for "估计" with clean implementations, documentation, and examples.
Calculate the power spectral density of input signals and estimate signal bandwidth using frequency domain analysis, with comprehensive plotting capabilities for signal visualization.
The EM (Expectation-Maximization) algorithm for estimating unknown data is widely applicable and can be used for synchronization tasks, among other implementations involving iterative probability estimation.
As a first-year graduate student, I'm sharing MATLAB simulation projects from my Signal Detection and Estimation course, providing practical implementation examples and algorithm demonstrations that may benefit fellow learners.
Time offset correction algorithm for OFDM signals, designed to estimate and compensate for timing deviations with implementation details
Estimating the power spectrum of sequences using the periodogram method with a Hamming data window. The scenario involves resolving three sinusoidal signals of different frequencies embedded in white noise, where phases are independent random variables uniformly distributed over 2π, and amplitude corresponds to unit white noise. A collection of 50 sample sequences, each of length N=512, is generated for analysis.
Implementation of Burg's method for AR(P) model parameter estimation, where ef represents forward prediction error, bf denotes backward prediction error, and mse indicates the mean squared error of prediction. The final program output stores prediction errors for all orders in a lower triangular matrix structure, with efficient implementation using reflection coefficients and Levinson-Durbin recursion.
MATLAB source code implementation for SNR estimation in OFDM communication systems
The LMS-based adaptive time delay estimation algorithm enables accurate estimation of time delays for enhanced system performance
This MATLAB program implements comprehensive signal processing techniques including autocorrelation function estimation using both direct computation and FFT-based methods, signal frequency estimation through advanced algorithms (MUSIC, ROOTMUSIC, ESPRIT, and MVDR), and power spectrum estimation employing Levinson-Durbin recursion, Blackman-Tukey method, and periodogram approach. The implementation includes comparative simulation plots and detailed code explanations for algorithm verification and performance analysis.
Supplementary code for the paper "Modified UCA-ESPRIT and Modified UCA-ROOT-MUSIC for Estimating DOA of Coherent Signals Using One Snapshot," featuring practical implementations of direction cosine estimation algorithms with enhanced computational efficiency.