Explore MATLAB source code curated for "连续信号" with clean implementations, documentation, and examples.
Methods for spectral analysis of continuous and discrete time-domain signals using FFT, including analysis of potential errors and their root causes through implementation examples and algorithm considerations
LZ complexity measures the rate at which new patterns emerge as a time series length increases. For computational implementation on digital systems, continuous signals must first be discretized - a requirement satisfied by preprocessed heart sound signals. This enables effective heart sound signal separation through algorithmic processing.
MATLAB expressions and implementation techniques for continuous signals including unit impulse, unit step, and sine functions with detailed code descriptions.
Continuous signals and their MATLAB implementation, including unit impulse signals, unit step functions, and other fundamental signal types with practical code examples.
This comprehensive guide covers fundamental concepts of continuous and discrete signals and models. It explores essential signal transformations including Z-transform, Chirp Z-transform, FFT, DCT, and Hilbert transform with code implementation insights. The content details discrete system structures (IIR, FIR, Lattice) and provides practical approaches for IIR filter design covering analog/digital low-pass and high-pass implementations.