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Dsp algorithms 02

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dsp architecture details

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Dsp algorithms 02

  1. 1. Digital signal processing Algorithms
  2. 2. Why go digital? • Digital signal processing techniques are now so powerful that sometimes it is extremely difficult, if not impossible, for analogue signal processing to achieve similar performance. Examples: FIR filter with linear phase. Adaptive filters.
  3. 3. Why NOT go digital ?????
  4. 4. Why do we need DSP processors? • Why not use a General Purpose Processor (GPP) such as a Pentium instead of a DSP processor? • What is the power consumption of a Pentium and a DSP processor? • What is the cost of a Pentium and a DSP processor?
  5. 5. Digital signal processing Algorithms • The Sum of Products (SOP) is the key element in most DSP algorithms: Such as Convolution, interpolation filter, decimation filter, FIR filter, DFT,FFT, DCT, Q-notation.
  6. 6. Convolution:
  7. 7. Interpolation Filter: Insert (L-1) zeros Low pass Filter X(n) Xz(m) y(m)
  8. 8. Decimation Filter: Lowpass Digital Filter Down Sampler y(n)X(n) X(m)
  9. 9. Discrete Fourier Transform Discrete Cosine Transform
  10. 10. Finite Impulse Response Filter:
  11. 11. Infinite Impulse Response Filter:
  12. 12. Q-notation • It specifies the number of Fractional bits. • Commonly used notation for DSP implementations is Q15. Example :16-bit fixed N=4000h in Q15 we have 0.100 0000 0000 0000b i.e., N=+0.5

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