Digital Signal Processing Course Design Report
Digital Signal Processing Course Design Report: Implementing Signal Spectral Analysis and Filtering Using MATLAB
Explore MATLAB source code curated for "课程设计" with clean implementations, documentation, and examples.
Digital Signal Processing Course Design Report: Implementing Signal Spectral Analysis and Filtering Using MATLAB
This is a course design project implementing an ECG signal wavelet analysis demonstration system using MATLAB, utilizing raw data collected from MIT databases with significant educational value for signal processing studies.
PID Controller Course Design - Applicable for Fundamental Control Theory Courses with Practical Code Implementation
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.
Image Frequency Domain Filtering Program - Course Project, Excellent Quality, Fully Independent Development. Includes High-Pass Filtering, Low-Pass Filtering, Band-Pass Filtering, and Directional Filtering with GUI Implementation.
Communication system simulation has become a mandatory component in current graduation projects and course designs, involving signal transmission analysis and performance evaluation through programmable implementations.
MATLAB course design focusing on spatial filtering enhancement: Spatial domain filtering involves neighborhood operations on images using templates in the image space. Each pixel value in the output image is calculated by processing the corresponding neighborhood pixels of the input image through a template. Learn and master spatial filtering techniques in MATLAB, and design a GUI interface to implement the following functionality: 1) Create an image interface using MATLAB Guide to read and display images, with buttons for various filter operations; 2) Artificially add noise to an image using imnoise function; 3) Perform linear filtering; 4) Apply median filtering; 5) Implement adaptive filtering; 6) Compare results using custom MATLAB filters.
A comprehensive course design project for modern control theory, featuring complete source code implementation and simulation analysis of a double inverted pendulum system, including controller design and performance evaluation.
Implementation of Buck converter simulation using MATLAB/Simulink for academic curriculum projects, featuring power electronics modeling and PWM control analysis