Explore MATLAB source code curated for "功率谱分析" with clean implementations, documentation, and examples.
The SVD-TLS (Singular Value Decomposition - Total Least Squares) power spectrum analysis method represents a commonly used approach in modern spectral estimation techniques, which can be implemented through matrix decomposition and optimization algorithms.
Analyzing one-dimensional signal sequences using short-time energy method and power spectrum analysis with waveform visualization
A MATLAB-based program implementing 2PSK modulation with simulated waveform visualization and power spectral density analysis, featuring parameter-adjustable signal generation and demodulation processes
Application Background Power spectrum, short for power spectral density function, is defined as signal power per unit frequency band. It indicates how signal power changes with frequency, representing the distribution of signal power in the frequency domain. Key Technologies Power spectral density provides a power description method distinct from time-domain analysis, commonly used in statistical signal processing. Two fundamental applications are introduced: (1) Definition of white noise and colored noise. If a signal's power spectrum equals a constant, the random process is called white noise; otherwise, it's termed colored noise. (2) Calculating signal's autocorrelation function using its relationship with autocovariance function.
Comprehensive MATLAB Implementation for Power Spectrum Analysis and Short-Time Fourier Transform in Signal Processing Applications
MATLAB source code for 16QAM implementation featuring detailed programming including signal power spectrum analysis, signal constellation diagram, and bit error rate analysis