Implementation of GS Algorithm Using Fourier Transform in Two-Dimensional Space
MATLAB implementation of Gram-Schmidt algorithm using Fourier transform for 2D spatial applications
Fourier Transform Analysis of Signals
Perform Fourier transform on signals to obtain amplitude and phase spectra, with visualization capabilities for both spectral plots.
Fast FFT Calculation of Sequence Average Period
Using Fast Fourier Transform (FFT) to compute the average period of sequences. Accepts a time series as input and returns the average period calculated through FFT spectral analysis. Required for determining the maximum Lyapunov exponent in chaotic sequence analysis.
Image DCT High-Pass and Low-Pass Filter Implementation with Fourier Transform Comparison
Implementation of Discrete Cosine Transform (DCT) high-pass and low-pass filters for image processing, with comparison to Fourier Transform (FFT) filtering. Visual results demonstrate that DCT low-pass filtering produces significant blurring due to energy reduction from taking the real component of FFT. DCT high-pass filtering removes low-frequency components, resulting in darkened images with only edge traces visible. Code implementation includes frequency domain masking and coefficient thresholding techniques.
Fourier Transform of Digital Images
Fourier Transform of digital images featuring the original image after rotation and translation, along with its corresponding frequency spectrum represented in three-dimensional coordinates. Implementation typically involves 2D FFT algorithms and visualization techniques.
Fourier Transform and Time-Frequency Analysis of Three Piecewise-Connected Signals
Fourier Transform and Time-Frequency Analysis of Three Piecewise-Connected Signals; Fourier Transform and Time-Frequency Analysis of Chirp Signals; Subband Decomposition of Signals with Implementation Approaches
Image Tampering Blind Detection Using Fourier Transform
Implementation of blind image tampering detection through Fourier transform analysis using MATLAB
Image Processing with Fourier Transform
1. Perform Fourier Transform on images to convert them from spatial to frequency domain. 2. Remove vertical stripe noise based on the Fourier analysis results. 3. Apply Inverse Fourier Transform to reconstruct the processed image.
Wavelet Transform and Fourier Transform for Image Processing
The compressed archive contains source code implementations for image compression using Wavelet Transform, Fourier Transform, Hadamard Transform, and Discrete Cosine Transform, along with a program for plotting image histograms and histograms of histogram-equalized images. The implementations include key algorithms for frequency-domain analysis and image compression techniques.
Fourier Transform of Digital Images using MATLAB
Implementation of digital image Fourier transformation in MATLAB with spectrum visualization and frequency domain analysis