Explore MATLAB source code curated for "数字信号处理" with clean implementations, documentation, and examples.
Application Background: This code analyzes speaker frequency characteristics using digital signal processing techniques for recording and playing back captured audio. The system processes and stores voice data for specific user identification. Key Technology: The implementation utilizes Fourier Transform algorithms to convert signals from time domain to frequency domain, along with discrete sampling of analog signals for precise audio analysis.
MATLAB Digital Signal Processing Toolbox for medical signal processing applications, featuring comprehensive algorithms and implementation methodologies.
Implementation of a digital signal processing simulation system with a graphical user interface, featuring: 1) Generation and selection of various digital signals (sinusoidal, square, triangular waves) using waveform synthesis algorithms; 2) Realization of low-pass, high-pass, band-pass, and band-stop filtering through digital filter implementation; 3) Acquisition of output signal frequency domain characteristics and time series data via FFT analysis and time-domain plotting.
MATLAB-based simulation of digital signal processing focusing on Wiener filter realization, featuring algorithm implementation and parameter analysis.
A MATLAB-based simulation demonstrating digital signal processing workflow, featuring noise injection, filtering operations, and reconstructed signal output with code implementation insights.
A comprehensive tutorial and source code package for designing FIR filters using MATLAB, featuring step-by-step implementation guidance and algorithm explanations to help beginners master digital signal processing and filter design techniques.
MATLAB programming examples covering: unit sample sequence generation, complex sinusoidal sequences, difference equations of discrete systems, impulse response and convolution analysis, frequency response analysis and pole-zero distribution of discrete systems, MATLAB-based digital filter design, and FFT algorithm applications with implementation insights.
Practical source code for Discrete Fourier Transform (DFT) in digital signal processing, featuring algorithm explanations and implementation details to facilitate understanding and real-world applications.
Digital signal processing solutions with MATLAB implementations, featuring programs to design IIR digital filters using Butterworth, Chebyshev, and other approximation methods. Includes code-level explanations of filter design algorithms and key MATLAB functions.
This project contains my course design for Digital Signal Processing, including MATLAB source code and comprehensive design report. The implementation demonstrates fundamental DSP concepts through: convolution simulation, sampling theorem visualization, analog filter design, Chebyshev Type I lowpass filter design, bilinear transformation method for Butterworth digital filters, and Kaiser window-based highpass filter design.