Search Results for "peak"

A.U.T.O is a web interface and control mechanism for transmission. It currently adds additional capabilities on top of the daemon, and is designed primarily for headless use. Check out the documentation in the hosted wiki above (coming soon) for a complete feature listing etc For release information etc, please see the news section above

hlsjs-p2p-engine is a WebRTC-based peer-to-peer engine that integrates with hls.js to deliver HLS video streams using decentralized bandwidth sharing. By turning viewers into contributors, it reduces load on CDNs and improves video delivery scalability, especially during peak demand. The library works seamlessly in browsers and supports real-time segment sharing among users. It’s easy to integrate into existing HLS setups and is ideal for video platforms seeking cost-effective and resilient streaming infrastructure.

This repository contains the MATLAB implementation source code accompanying the book “MIMO-OFDM 无线通信技术及 MATLAB 实现” (MIMO-OFDM Wireless Communication Technology and MATLAB Implementation). The repository is structured to match chapters in the book, providing code for topics such as OFDM basics, MIMO channel models, channel estimation, PAPR, spatial multiplexing, diversity techniques, etc. It helps readers replicate examples in the textbook and test MATLAB simulations of wireless communication...

This script was created so I can display various information to my BBS users about my shoutcast radio stream. This BBS section includes a shoutcast dashboard with station information obtained via RSS/XML. The display includes listener peak, current song playing, next song to play, stream status, stream URL and other pertinent information for the BBS user to see. After the dashboard is displayed, the script continues by showing the last 20 songs played on the station. Useful things about this script: - Fully configurable at the top of the script, Title, Stream URL, Cols, Rows etc...

This is an R package for the Mass spectrometry Research. The MrR can be used to analyze the mass spectrometry data for baseline correction, denoising, peak detection, peak alignment, peak normalization, and biomarker discovery.