Hello, we are a team of undergraduates focusing on project #202 these days. We now want to use the Mixed-Signal-Blockset, but we don't really know how to setup a Simulation-In-Loop to gather datas. Where can we find some help documents or references? Thanks.

Thanks for your help in "Simulation In Loop". Now when changing parameters, we find some problems.
First, we don't know what effect param "Current imbalance " in the BLOCK "Integer N PLL with Dual Modulus Prescaler" will have on the system. Should we change "Current imbalance " as we are changing "leakage current" ?
Second, we don't find the parameter corresponding to "Input current" mentioned in the project. Is it referred to the param "Output current" in the BLOCK "Integer N PLL with Dual Modulus Prescaler/charge pump" ?
I'd appreciate it if you could offer some help.

Excuse me.
we now have some problems, and may need some help.

1. About PLL dataset. Although we are collecting dataset from the Simulink, it's a bit slow. We wonder if there is pre-collected dataset which we can download.

2.About Deep Network Designer. When we want to import datastore to train the model, it show out "There are no data storage variables in the workspace". We don't know if it has data format requirements, and the help document online is not detailed enough.

3.About PLL model Simulation.When we try to change the parameter, it sometimes show warnings and errors as below:

• 1)"Input buffer overflow in Integer N PLL with Single Modulus Prescaler1/Loop Filter/Convert Sample Time due to closely spaced samples. Increase buffer size, possibly in a subsystem at a higher level."

We try to increase the buffer, but it doesn’t seem to solve the problem fundamentally.

• 2)"Warning: The model was run for less than the recommended simulation stop time. Results reported might be inaccurate. For correct results run the simulation with a stop time >= minimum recommended simulation stop time of 0.00018 seconds.
  Warning: The simulation did not run long enough to generate necessary data for Phase noise measurement. Hence, some result entries might be 'NaNs'.
  Run the simulation for the recommended simulation stop time provided in the testbench mask.
  (ERROR)
  Propagation delay in Integer N PLL with Single Modulus Prescaler1/VCO/Variable Pulse Delay decreased more than variable step discrete input sample time increased, causing the output sample times to occur out of sequence."

For the Warnings above, we did change the simulation stop time to 0.0002s, but the warning still remain.
For the ERROR, actually, we don't know how it occur. The only thing we know about it is that it occurs after the warnings above.

I'd appreciate it if you could offer some help.

I am sorry to bother you. Now we are dealing with the model and find a few questions/problems.

What bother us most is the PHASE Noise, an example is like the picture below. The wave is jagged. And at the beginning, we decide to use some sampling point in the frequency curve to represent the PHASE Noise characteristics, but now we find that because of the jagged curve, the tendency of the sampling point(we now choose 4 point) may be hard to decribe with Nerual Network(Or maybe our neural network needs further optimization?)

-As mentioned above, we want to ask that HOW to understand the target metrics "PHASE Noise"? Should we use several sampling points to represent this metric or should we learn its overall curve and trend?(Maybe an overall curve is hard to describe in the model.)
Hope you could give us some suggestion!

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Thanks!

what deep learning blockset to use? can anybody please help.

Hi! Are we meant to design the PLL simulation in loop from figure 2 or make our own?

We are planning to work on this project and need some help.

Hi, my name is Rishika and I am planning on doing this project for the 2025 mathworks AI challenge. Right now, I am reading some of the literature surrounding PLLs!