Sparse representations for audio

在过去的几十年里，数字音频处理的进步使许多应用程序得以出现，成熟，并在许多情况下成为日常生活中的商品。手机、智能手机、MP3播放器、IP语音（VoIP）软件甚至Youtube都有一个共同的核心先进的音频处理。具体地，语音和/或音频压缩算法允许节省地使用传输带宽和存储空间，同时向用户提供他们对于给定应用所期望的音频质量。对于高性能的音频处理算法，特别是压缩算法的需求，可以预期随着要求苛刻的应用而增长，例如用于移动的用户（例如，在汽车中）的数字多信道无线电广播和要在移动的设备上使用的各种无线多媒体。

Over the past decades, advances in digital audio processing have allowed numerous applications to emerge, mature and in many cases become commodities in everyday life. Cellphones, smartphones, MP3 players, Voice over IP (VoIP) software and even Youtube all have in common advanced audio processing in their core. Specifically, speech and/or audio compression algorithms allow using transmission bandwidth and storage space sparingly while providing users the audio quality they expect for a given application. The need for performant audio processing algorithms, and in particular compression algorithms, can be expected to grow with demanding applications such as digital multichannel radio broadcast for mobile users (in cars, for example) and wireless multimedia of all sorts to be used on mobile devices.