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
time
They are MN distinct signals arranged in a matrix
Particular Case:
is like M distinct signals

3. “Sample Based” and “Frame Based” Signals
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:

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

14. M channel Serial to Parallel with Buffer: