Spectral Mathematics

  •        0

Spectral is a generic mathematics library for .NET.




Related Projects


G'MIC is an open and full-featured framework for image processing, providing several different user interfaces to convert/manipulate/filter/visualize generic image datasets, from 1d scalar signals to 3d+t sequences of multi-spectral volumetric images.

JSpecView Project

The JSpecView Project provides JAVA applets for the display of JCAMP-DX and AnIML/CML spectral files. The source and binary files are available via the Code (sourceforge SVN) and Files menu options. See the WIKI pages (Hosted Apps) for more detail


FScape is a standalone audio rendering software for time domain and spectral signal processing. Similar to SoundHack, it hosts a number of separate filter processes and has simple batch processing capabilities. It runs on any Java 1.4 equipped machin

Sonic Visualiser

Sonic Visualiser is an application for inspecting and analysing the contents of music audio files. It combines powerful waveform and spectral visualisation tools with automated feature extraction plugins and annotation capabilities.

Spectral Python

Spectral Python (SPy) is a python package for reading, viewing, manipulating, and classifying hyperspectral image (HSI) data. SPy includes functions for clustering, dimensionality reduction, supervised classification, and more.

STK - Seismic ToolKit

STK (Seismic Tool Kit) is a tool for seismic signal processing in graphical interface: various filters, spectral analysis, polarization, time-frequency, Hilbert transform, instrumental response...etc. Signals processed in STK must be in SAC format.


SoundRuler is a tool for acoustic analysis, graphing and teaching. It interactively recognizes and measures 35 temporal and spectral properties of each sound in a file. It also features several measurement, graphing and didactic modules.

Spectralmix - A Python library to carry out spectral clustering and other related tasks on diverse d

This software library (SpectralMix) is a collection of spectral-projection related statistical methods implemented in Python. The library itself may be used with many types of input data. An example is spectral clustering, which may be run using an observation-feature matrix, a distance matrix, an affinity matrix or a graph as input.

Nereides - Least squares spectral element method solver for fluid flows

It is intended to be a tool to be used to solve PDE's especially fluid related equations, such as Navier-Stokes, Euler, Shallow water and Boussinesq. It is based on a Least Squares approach to the spectral element method.