[Docs] [txt|pdf] [Tracker] [WG] [Email] [Diff1] [Diff2] [Nits] Versions: (draft-spittka-payload-rtp-opus) 00 01 02 03 04 05 06 07 08 09 10 11 RFC 7587 Network Working Group J. Spittka Internet-Draft Intended status: Standards Track K. Vos Expires: Ja

2.1 概念 Before introducing all the Speex features, here are some concepts in speech coding that help better understand the rest of the manual. Although some are general concepts in speech/audio processing, others are specific to Speex 在介绍Speex特性之前,为了便

循环神经网络(RNN, Recurrent Neural Networks)介绍    这篇文章很多内容是参考:http://www.wildml.com/2015/09/recurrent-neural-networks-tutorial-part-1-introduction-to-rnns/,在这篇文章中,加入了一些新的内容与一些自己的理解.   循环神经网络(Recurrent Neural Networks,RNNs)已经在众多自然语言处理(Natural Language Proce

    Awesome Python      A curated list of awesome Python frameworks, libraries, software and resources. Inspired by awesome-php. Awesome Python Environment Management Package Management Package Repositories Distribution Build Tools Interactive Interp

Machine and Deep Learning with Python Education Tutorials and courses Supervised learning superstitions cheat sheet Introduction to Deep Learning with Python How to implement a neural network How to build and run your first deep learning network Neur

  Speech and Natural Language Processing obtain from this link: https://github.com/edobashira/speech-language-processing A curated list of speech and natural language processing resources. Other lists can be found in this list. If you want to contrib

What is the best open-source (or otherwise free) MATLAB equivalent, in your opinion, and why? Something with many built-in functions relevant to engineering and science, and a variety of good graphing capabilities. Syntax close to MATLAB's is a bonus

首先要下载安装光盘. Matlab801_MacUnix.iso [root@db-172-16-3-150 mnt]# md5sum /ssd1/Matlab801_MacUnix.iso 0d31a7ff79eaf48c0905f9845fa3e825 /ssd1/Matlab801_MacUnix.iso 挂载 :  mount -o loop,ro Matlab801_MacUnix.iso /mnt 光盘内容 :  [root@db-172-16-3-150 ~]# cd /mnt [

http://bbs.ednchina.com/BLOG_ARTICLE_3008491.HTM 本次我们探讨另外一个在本科阶段让我们头痛的东西,通信原理之必考曲目,拼死也要背下来的内容,基带脉冲成形.然而俺对这个东西的理解和认识却是在本科以后的事情. 早年(比如[黑][社][会]大佬用摩托罗拉的手机砸人的时代)的基带成形都是用模拟电路做的,那会儿的数字电路密度极低,想想大学本科数电实验里面的各种74系列芯片,如果用这个东西拼个数字滤波器估计会疯掉.况且,就算有数字滤波器,高速高精度的ADC.D