Theorem Linker is a program used to visualize references between theorems in a paper written using LaTeX. Using a .tex document (and a .aux file, created by the LaTeX compiler), Theorem Linker will search through a paper, find theorems, and find references to other theorems within a theorem's "proof". It will then create a digraph in a .dot file (to be opened with programs such as Graphviz or OmniGraffle) that will display each theorem as a node, with directed edges to describe the relations between the theorems. A path highlighted in red describes the longest path in the graph. Theorem Linker will also create folders containing graphs to individually show relations of each theorem in a paper.
Libntoh aims to be a user-friendly library to provide an easy way to perform defragmentation and reassembly of network/transport protocols. It is intended to provide a flexible, thread-safe, and highly configurable environment for the user. It performs IP defragmentation and TCP reassembly.
The dywapitchtrack library computes the pitch of an audio stream in realtime. The pitch is the main frequency of the waveform (the "note" being played or sung). It is expressed as a float in Hz. dywapitchtrack is based on a custom-tailored algorithm which is of very high quality, very accurate (precision < 0.05 semitones), with very low latency (< 23 ms) and very low error rates. It has been thoroughly tested on the human voice.
glfer is a GTK+ application that shows the input signal frequency spectrum in a waterfall display and can also control a transmitter to emit slow-CW (QRSS) signals. The signal to be analyzed can be acquired in real-time from the sound card or can be read from a WAV file. The signal spectrum can be computed using four different spectral estimators. The spectrogram display can be saved as an image; you can choose to save the entire window, or select a rectangular region to save with the mouse.
DTMF2NUM is a tool for decoding DTMF and MF tones from PCM wave files. It supports any type of wave file, automatic optimizations (DC bias adjust and normalization), and both WAV and raw PCM data. The program has been successfully tested with many audio files, including ones that are highly dirty and damaged (for example, recorded with a microphone in a room or at very low volumes or with some noise).