Compute the Graph Fourier Transform (GFT) of a signal using Laplacian eigenvectors.

Implementation of Graph Signal Processing (GSP) methods including Spectral
Graph Wavelet Transform (SGWT) for analyzing spatial patterns in biological data.
Based on Hammond, Vandergheynst, and Gribonval (2011) <doi:10.1016/j.acha.2010.04.005>. Provides tools for multi-scale analysis of biology spatial signals, including forward and inverse transforms, energy analysis, and visualization functions tailored for biological applications. Biological application example is on Stephanie, Yao, Yuzhou (2024) <doi:10.1101/2024.12.20.629650>.

Yuzhou Chang

BioGSP

Biological Graph Signal Processing for Spatial Data Analysis

gft function

<dl><dt>signal</dt>
<dd>Input signal (vector or matrix)</dd>
<dt>U</dt>
<dd>Matrix of eigenvectors (dense matrix preferred)</dd></dl>

Arguments

Graph Fourier Transform — gft

<dl>

<dt>signal</dt>
<dd>Input signal (vector or matrix)</dd>


<dt>U</dt>
<dd>Matrix of eigenvectors (dense matrix preferred)</dd>

</dl>

gft: Graph Fourier Transform

Description

Usage

Value

Arguments