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  • 标题:Digital Signal Processing With Examples and Its Applications
  • 本地全文:下载
  • 作者:Abhilash Sharma ; Avikar Sharma ; Ajay Kumar
  • 期刊名称:International Journal of Computer Science & Technology
  • 印刷版ISSN:2229-4333
  • 电子版ISSN:0976-8491
  • 出版年度:2013
  • 卷号:4
  • 期号:2
  • 页码:469-472
  • 语种:English
  • 出版社:Ayushmaan Technologies
  • 摘要:Advances in digital audio technology are fueled by two sources: hardware developments and new signal processing techniques. When processors dissipated tens of watts of power and memory densities were on the order of kilobits per square inch, portable playback devices like an MP3 player were not possible. Now, however, power dissipation, memory densities, and processor speeds have improved by several orders of magnitude. Advancements in signal processing are exemplified b y Internet broadcast applications: if the desired sound quality for an internet broadcast used 16-bit PCM encoding at 44.1 kHz, such an application would require a 1.4 Mbps channel for a stereo signal! Fortunately, new bit-rate-reduction techniques in signal processing for audio of this quality are constantly being released. Increasing hardware efficiency and an expanding array of digital audio representation formats are giving rise to a wide variety of new digital audio applications. These applications include portable music playback devices, digital surround sound for cinema, highquality digital radio and television bro ad cast, Digital Versatile Disc (DVD), and many others. This paper introduces digital audio signal compression, a technique essential to the implementation of many digital audio applications. Digital audio signal compression is the removal of redundant or otherwise irrelevant information from a digital audio signal—a process that is useful for conserving both transmission bandwidth and storage space. We begin by defining some useful terminology. We then present a typical “encoder” (as compression algorithms are often called), and explain how it functions. Finally we consider some standards that employ y digital audio signal compression, and discuss the future of the field.
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