15EE55C – DIGITAL SIGNAL PROCESSING AND ITS APPLICATIONS INTRODUCTION TO DIGITAL SIGNAL PROCESSOR Mr. K. Karthik Kumar AP/EEE DEPARTMENT OF ELECTRICAL AND ELECTRONICS ENGINEERING NATIONAL ENGINEERING COLLEGE, K.R. NAGAR, KOVILPATTI – 628 503 (An Autonomous Institution, Affiliated to Anna University – Chennai)
DIGITAL SIGNAL PROCESSOR
DIGITAL SIGNAL PROCESSOR  Digital Signal Processors (DSP) take real-world signals like voice, audio, video, temperature, pressure, or position that have been digitized and then mathematically manipulate them.  A DSP is designed for performing mathematical functions like "add", "subtract", "multiply" and "divide" very quickly.
FUNCTIONING OF DSP  Signals need to be processed so that the information that they contain can be displayed, analyzed, or converted to another type of signal that may be of use.  In the real-world, analog products detect signals such as sound, light, temperature or pressure and manipulate them.  Converters such as an Analog-to-Digital converter then take the real-world signal and turn it into the digital format of 1's and 0's.  From here, the DSP takes over by capturing the digitized information and processing it.  It then feeds the digitized information back for use in the real world.  It does this in one of two ways, either digitally or in an analog format by going through a Digital-to-Analog converter.  All of this occurs at very high speeds.
EXAMPLE  During the recording phase, analog audio is input through a receiver or other source.  This analog signal is then converted to a digital signal by an analog-to- digital converter and passed to the DSP.  The DSP performs the MP3 encoding and saves the file to memory.  During the playback phase, the file is taken from memory, decoded by the DSP and then converted back to an analog signal through the digital-to- analog converter so it can be output through the speaker system. I  n a more complex example, the DSP would perform other functions such as volume control, equalization and user interface.
APPLICATIONS OF DSP  Applications of DSP include  audio signal processing,  audio compression,  digital image processing,  video compression,  speech processing,  speech recognition,  digital communications,  digital synthesizers,  radar,  sonar,  financial signal processing,  seismology  biomedicine.
APPLICATIONS OF DSP IN SIGNAL PROCESSING  A DSP's information can be used by a computer to control such things as security, telephone, home theater systems, and video compression.  Signals may be compressed so that they can be transmitted quickly and more efficiently from one place to another (e.g. teleconferencing can transmit speech and video via telephone lines).  Signals may also be enhanced or manipulated to improve their quality or provide information that is not sensed by humans (e.g. echo cancellation for cell phones or computer-enhanced medical images).  Although real-world signals can be processed in their analog form, processing signals digitally provides the advantages of high speed and accuracy.

Introduction to digital signal processor

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    15EE55C – DIGITALSIGNAL PROCESSING AND ITS APPLICATIONS INTRODUCTION TO DIGITAL SIGNAL PROCESSOR Mr. K. Karthik Kumar AP/EEE DEPARTMENT OF ELECTRICAL AND ELECTRONICS ENGINEERING NATIONAL ENGINEERING COLLEGE, K.R. NAGAR, KOVILPATTI – 628 503 (An Autonomous Institution, Affiliated to Anna University – Chennai)
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    DIGITAL SIGNAL PROCESSOR Digital Signal Processors (DSP) take real-world signals like voice, audio, video, temperature, pressure, or position that have been digitized and then mathematically manipulate them.  A DSP is designed for performing mathematical functions like "add", "subtract", "multiply" and "divide" very quickly.
  • 4.
    FUNCTIONING OF DSP Signals need to be processed so that the information that they contain can be displayed, analyzed, or converted to another type of signal that may be of use.  In the real-world, analog products detect signals such as sound, light, temperature or pressure and manipulate them.  Converters such as an Analog-to-Digital converter then take the real-world signal and turn it into the digital format of 1's and 0's.  From here, the DSP takes over by capturing the digitized information and processing it.  It then feeds the digitized information back for use in the real world.  It does this in one of two ways, either digitally or in an analog format by going through a Digital-to-Analog converter.  All of this occurs at very high speeds.
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    EXAMPLE  During therecording phase, analog audio is input through a receiver or other source.  This analog signal is then converted to a digital signal by an analog-to- digital converter and passed to the DSP.  The DSP performs the MP3 encoding and saves the file to memory.  During the playback phase, the file is taken from memory, decoded by the DSP and then converted back to an analog signal through the digital-to- analog converter so it can be output through the speaker system. I  n a more complex example, the DSP would perform other functions such as volume control, equalization and user interface.
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    APPLICATIONS OF DSP Applications of DSP include  audio signal processing,  audio compression,  digital image processing,  video compression,  speech processing,  speech recognition,  digital communications,  digital synthesizers,  radar,  sonar,  financial signal processing,  seismology  biomedicine.
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    APPLICATIONS OF DSPIN SIGNAL PROCESSING  A DSP's information can be used by a computer to control such things as security, telephone, home theater systems, and video compression.  Signals may be compressed so that they can be transmitted quickly and more efficiently from one place to another (e.g. teleconferencing can transmit speech and video via telephone lines).  Signals may also be enhanced or manipulated to improve their quality or provide information that is not sensed by humans (e.g. echo cancellation for cell phones or computer-enhanced medical images).  Although real-world signals can be processed in their analog form, processing signals digitally provides the advantages of high speed and accuracy.