Measurements and Testbenches
Analyze different foundation blocks and system-level models of mixed-signal systems using measurement blocks and testbenches. You can validate a block from the Mixed-Signal Blockset™ library, or you can validate your own customized blocks. Use a system-level testbench to validate your models.
Use graphical utilities and quantitative tools to measure system performance and waveform qualities.
To learn how you can analyze the models using MATLAB® functions, see Analysis and Optimization.
Categories
- Simulink Models of PLLs and Data Converters
Validate PLL, ADC, and DAC systems and measure key performance metrics in Simulink
- Eye Measurement, Jitter, and Timing in Simulink
Calculate performance metrics related to eye diagram, jitter, and waveform quality in Simulink
Featured Examples
PLL Design and Verification Using Data Sheet Specifications
Use Mixed-Signal Blockset™ to model a commercial off-the-shelf integer-N phase-locked loop (PLL) with dual modulus prescaler operating around 4 GHz. You can verify the PLL performance, including phase noise.
Phase Noise at PLL Output
Predict the phase noise at the output of a phase-locked loop (PLL), simulate the PLL using the PLL Testbench, and compare the simulation results to theoretical predictions.
Circuit Design Details Affect PLL Performance
Use the Linear Circuit Wizard block to evaluate the effect of loop filter circuit design details on the performance of a phase-locked loop.
Design and Evaluate SAR ADC
Design a SAR ADC using reference architecture and validate the ADC using ADC Testbench.
Delta Sigma Modulator Data Converter with Half-Band Filter for Decimation
Use the delta sigma modulator data converter for an analog-to-digital converter application.
Model Continuous-Time Delta Sigma Modulator With Inherent Anti-Aliasing Property
Design a continuous-time delta sigma modulator (CT DSM) using the DT-CT Translation method explained in [1]. CT DSMs can also be designed using Direct Synthesis of CT DSMs [2].
