Broadband Signal Generation
Generating broadband signals using MATLAB built-in functions and filtering techniques
EKF, UKF, and Other Filtering Algorithm Toolboxes
Toolboxes for EKF, UKF, and other filtering algorithms - highly practical and suitable for beginners, intermediate, and advanced users, featuring comprehensive function libraries and configurable parameters for robust implementation.
Processing with Multiple Filters
Application of various filters for signal processing including arithmetic mean, geometric mean, harmonic mean, contraharmonic mean, median filtering, midpoint filtering, and max/min filters with implementation approaches
Simple FFT and Filter Implementations
Beginner-friendly implementations of Fast Fourier Transform (FFT) and basic digital filters with code explanations and algorithmic insights for signal processing applications.
Time-Frequency Analysis of Noisy Speech Signals with Denoising and Reverberation Processing
1. Perform time-frequency analysis on noisy speech signals using spectrogram and periodogram methods 2. Design appropriate digital filters (FIR/IIR) for denoising through frequency response analysis 3. Conduct post-denoising time-frequency analysis to evaluate performance metrics 4. Implement a reverberation effect using four comb filters and two all-pass filters with equalizer integration for echo generation
MATLAB Implementation of Wiener Filter
A custom-developed MATLAB program for Wiener filter implementation, designed for signal processing applications with detailed code explanations
Filter-Based Sliding Mode Controller Design
MATLAB source code for filter-based sliding mode controller design, highly useful for students researching sliding mode boundary layer control with implementation examples of boundary layer techniques and filter integration.
MATLAB Implementation of Filter-Based Image Enhancement
Algorithm implementation program for filter-based image enhancement in MATLAB. This custom-developed code demonstrates practical image processing techniques using various filtering approaches.
Research on Filtered Back Projection Reconstruction Algorithm
Study of filtered back projection reconstruction algorithm using phantom images as examples, involving filter construction and image reconstruction with implementation details
Common Noise Forms in Accelerometer Output Signals and MATLAB Processing Methods
Analysis of common noise patterns in accelerometer signals with implementation of three processing methods: classical filters, polynomial fitting, and vector Kalman filters using MATLAB simulations, demonstrating Kalman filter superiority in noise suppression.