Explore MATLAB source code curated for "频率" with clean implementations, documentation, and examples.
This program reconstructs low-frequency and high-frequency coefficients at each decomposition level, plots the power spectrum with frequency on the x-axis and power on the y-axis, and visualizes the four-level wavelet packet decomposition tree structure in the final step.
This MATLAB m-file solves the Schrödinger equation while incorporating bandwidth frequency and phase offset parameters, generating comprehensive 3D visualizations of the wave function evolution.
Modulation information in communication signals is embedded in variations of instantaneous amplitude, phase, and frequency, with different signals exhibiting unique spectral characteristics. By extracting statistical parameters from instantaneous amplitude, phase, frequency, and spectral features, various communication signals can be identified. Commonly, transformations are applied to instantaneous amplitude, phase, frequency, and power spectral density to derive discriminative feature parameters. In practice, this involves algorithms like Hilbert transform for instantaneous attributes calculation and Fourier analysis for spectral feature extraction.
MATLAB programming for creating speech signal spectrograms, visualizing frequency variations over time and comparing energy differences between voiced and unvoiced segments through signal processing techniques.
The RELAX algorithm for harmonic detection, superior to FFT, enables effective estimation of amplitude, frequency, and phase with robust signal parameter identification capabilities.
% y = filter(sig, fmin, fmax, fs) % Performs ideal filtering on a signal to achieve low-pass or band-pass filtering functionality % sig: input signal to be filtered % fmin: lower cutoff frequency (when fmin=0, implements low-pass filter; when fmin>0, implements band-pass filter) % fmax: upper cutoff frequency (must satisfy fmax > fmin) % fs: sampling frequency of the input signal % y: filtered output signal
TDMA systems allocate distinct time slots for transmitting signals to different users, assigning a fixed frequency to each sender-receiver transmission channel for a specified duration. In code implementation, this can be achieved through precise timer interrupts and slot synchronization algorithms.
Digital phase-shift signal generators can produce sine signals at preset frequencies, generate dual-channel same-frequency sine waves with predefined phase differences, and display preset frequency or phase difference values. These devices typically implement Direct Digital Synthesis (DDS) algorithms through FPGA or microcontroller programming, utilizing phase accumulators and lookup tables for precise waveform generation.
Analysis of rolling bearing outer race fault frequency through wavelet denoising and envelope transformation, with experimental data sourced from Case Western Reserve University. Includes implementation approaches for feature extraction algorithms.
This implementation performs multi-scale discrete wavelet decomposition on 2D signals, featuring proper program execution and visualization of frequency-domain effects at different decomposition levels