Explore MATLAB source code curated for "数字信号处理" with clean implementations, documentation, and examples.
This is an original Wiener filter program developed in MATLAB, ready to run directly. It serves as an excellent educational resource for beginners in digital signal processing, featuring practical code implementation with detailed algorithm explanations.
MATLAB Program Implementation for Digital Signal Processing with Focus on Signal Sampling Algorithms
MATLAB-based implementation examples for digital signal processing include: unit impulse sequence, rectangular sequence, specific impulse train, convolution computation, and convolution theorem verification with code implementation details.
This project involves a simulation and demonstration system for digital signal processing based on the MATLAB platform. Digital signals refer to discrete signals, and this design features a rich GUI (Graphical User Interface) for human-computer interaction. The system comprises four main sections: convolution of discrete-time signals, Z-transform of basic functions (including unit step signals, impulse signals, ramp signals, sinusoidal/cosine signals, and exponential series signals), fundamental properties of Z-transform (linearity, time-shifting, z-domain scaling, and time-domain convolution), and basic properties of Fourier transform. This well-structured topic offers clear GUI design logic, organized chapters, and distinct hierarchical levels.
Implementation of a comprehensive digital signal processing simulation system featuring: a GUI for generating and selecting various digital signals (sine, square, triangular waves, speech, noise, and their combinations); DFT and DCT transformation capabilities; customizable filter designs for low-pass, high-pass, and band-pass filtering with output signal analysis in both frequency domain and time series
MATLAB-based Digital Signal Processing covering convolution methods (timeconv, timecirconv, freqconv, freqcirconv, dupconv with overlap-save method), frequency domain analysis (dft, dtft, d2fft for radix-2 FFT), FIR filter design (fir, getwindow, idealfilter for lowpass/highpass/bandpass), and signal generation techniques with practical code implementations.
Digital Signal Processing Course Design Report: Implementing Signal Spectral Analysis and Filtering Using MATLAB
ECG Signal Analysis, Filtering, and Digital Signal Processing Fundamentals Assignment
ECG signal filtering digital signal processing experiment including source code, spectrum analysis diagrams, and filter response plots for practical implementation studies
Digital Signal Processing Experiments focusing on DCT-based image compression, including comprehensive MATLAB .m files, experimental reports, algorithm explanations, and practical implementation examples for technical reference.