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Note for Digital Signal Processing - DSP by akshaya selva

  • Digital Signal Processing - DSP
  • Note
  • Anna university - gtec
  • Electronics and Communication Engineering
  • B.Tech
  • 4 Topics
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www.Vidyarthiplus.com ADC: It converts analog input to digital input. Digital Signal processor: It performs amplification,attenuation,filtering,spectral analysis,feature extraction etc operations on digital data. DAC: Some of the processed signals are required back in the analog form.So we use DAC to convert digital output to its analog equivalent. Advant ages of Dsp over Anlog signal processing: 1.Flexibility. 2.Accuracy. 3.Easy storage. 4.Mathematical processing. 5.Cost. Applications: 1.Speech processing. 2.Telecommunication. 3.Biomedical Engineering. 4.Instrumentation Types of signals based on time: 1.Continuous time signals. 2.Discrete time signals. Continuous time signals: www.Vidyarthiplus.com

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www.Vidyarthiplus.com Continuous time or analog signals are signals that are defined for every value of a < t < b, where (a, b) can be ( -¥, + ¥ ), i.e., x (t) = e-|t| or x(t) = cos(pt). . Frequency concept in continuous time signal: Discrete time signal: Discrete-time signals are defined at discrete-time instants and between the two discrete time instants are undefined but are not zero. They can be obtained either by sampling analog signals or they can be discrete in nature like discrete measurement signals. A discrete-time signal having a set of discrete values is called a digital signal. Note that sampling an analog signal produces a discrete-time signal. Then quantization of its values produces a digital signal. Thus, the sequence values x(0) to x(N - 1) may often be considered to be the elements of a column vector as follows: Discrete-time signals are often derived by sampling a c ontinuous-time signal, such as speech, with an analogto-digital (A/D) converter) For example, a continuoustime signal x,(t) that is sampled at a rate of fs = l/Ts samples per second produces the sampled signal x(n), which is related to xa(t) as follows: x(n)=x0 (nTs) www.Vidyarthiplus.com

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Lecture Notes