1 / 12

DSP (digital signal processing)

DSP (digital signal processing). (DSP ) deals with commonly signals such as speech, music, video, EKG or ECG (heart), and EEG (brain). Applications of DSP. Signal transmission /storage/retrieval. Information extraction . Speech ,image and character recognition.

doria
Download Presentation

DSP (digital signal processing)

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. DSP (digital signal processing) (DSP) deals with commonly signals such as speech, music, video, EKG or ECG (heart), and EEG (brain).

  2. Applications of DSP Signal transmission /storage/retrieval Information extraction Speech ,image and character recognition Speech coding , music coding, data compression communication over noisy channels Radar and sonar signal processing

  3. Preparing the analog signal for communication through a communication channel

  4. Analyzing the analog signal for use in a voice recognition telephone system.

  5. DSP block diagram SIGNALS, SYSTEMS, AND SIGNAL PROCESSING A signal is defined as any physical quantity that vary with time or any independent variables A system may also be defined as a physical device that performs an operation on a signal A Signal processing is the operations that performed on the signal means processed the signal.

  6. Classification of signals:- • Multi channel and multi dimension signals • Continuous Time versus Discrete Time Signal • Continuous – Valued versus Discrete – Valued Signals • Deterministic signal and Random signal

  7. Analog-To-Digital convertor • Sampler • Quantization • Coding.

  8. Sampling of analog signal This is the conversion of a continuous-time signal into discrete-time signal obtained by taking samples of the continuous-time signal at discrete-time instant

  9. The sampling theorem introduced by Nyquist and later by Shannon is used to determine the appropriate sampling rateFs≥2Fmax

More Related