Digital signal processing Assignment Help

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Digital signal processing:

A signal is variable which carries information. The examples of types of signals of interest are  Speech (radio, telephony,  everyday communication),Biomedical signals (EEG brain signals), Video and image,_ Radar signals (range and bearing), Sound and music. Digital signal processing is concerned with digital representation of the signals and use of the digital processors to modify, analyse, or extract information from the signals. A number of signals in DSP are derived from the analogue signals which have been sampled at the regular intervals and converted in the digital form. The main advantages of DSP over the analogue processing are   Guaranteed accuracy (it is determined by number of bits used), Perfect reproducibility,  No drift in the performance because of temperature or age,  Takes the advantage of advances in semiconductor technology,  Greater exibility, Superior performance (linear phase response possible, and the ltering algorithms are be made adaptive), At times information can already be in digital form. There is however some drawbacks, Speed and cost The finite word length problems (the limited number of bits can create degradation).

Application areas of the DSP are considerable:  _ The image processing (pattern recognition, robotic vision, facsimile, satellite weather map, image  enhancement, animation),  Instrumentation and control (position and rate  control, spectrum analysis, noise reduction, data compression)  _ Speech and audio (speech synthesis, digital audio, text to speech, speech recognition, equalisation)   Military (radar processing, sonar processing, secure communication,  missile guidance)  Telecommunications (adaptive equalisation, echo cancellation, video conferencing,  spread spectrum, data communication)  Biomedical (scanners, EEG brain mappers, patient monitoring, ECG analysis, X-ray storage and enhancement).

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