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Processing Data by Blocks

Processing Data by Blocks. In most efficient implementations we process data by blocks, rather than one sample at a time. Real Time simulation and design software such as Simulink are designed to take advantages of block processing for two purposes:

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Processing Data by Blocks

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  1. Processing Data by Blocks • In most efficient implementations we process data by blocks, rather than one sample at a time. • Real Time simulation and design software such as Simulink are designed to take advantages of block processing for two purposes: • efficient computations, thus faster simulations; • efficient design.

  2. “Sample Based” and “Frame Based” Signals Sample Based: time They are MN distinct signals arranged in a matrix Particular Case: is like M distinct signals

  3. “Sample Based” and “Frame Based” Signals Frame Based: They are N distinct signals, each one represented as a sequence of frames of length M Particular Case: one signal as a sequence of frames of length M

  4. Convert “to Sample” and “to Frame” Example: y0= Frame based y1= Sample based y2=y0= Frame based

  5. Serial to Parallel (Buffer)

  6. Serial to Parallel in Simulink Serial to Parallel is implemented by the “Buffer” Simulink block in Signal Processing Blcokset > Signal Management > Buffers: S/P Sample based Frame based

  7. Example of Downsampling

  8. Parallel to Serial (Unbuffer or Interlacer)

  9. Parallel to Serial in Simulink Parallel to Serial is implemented by the “UnBuffer” Simulink block in Signal Processing Blcokset > Signal Management > Buffers: P/S Frame based Sample based

  10. Example of Upsampling

  11. Simulink Implementation N channel to N channel IFFT: Frame Sample Sample Sample based Sample based

  12. M channel Parallel to Serial with Unbuffer: UNBUFFER

  13. Simulink Implementation N channel to N channel FFT: Everything sample based

  14. M channel Serial to Parallel with Buffer: BUFFER

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