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design, analyze, and simulate analog and mixed-signal systems

mixed-signal blockset™ provides models of components and impairments, analysis tools, and test benches for designing and verifying mixed-signal integrated circuits (ics).

you can model plls, data converters, and other systems at different levels of abstraction. these models can be used to simulate mixed-signal components together with complex dsp algorithms and control logic. you can customize models to include impairments such as noise, nonlinearity, jitter, and quantization effects. rapid system-level simulation using variable-step simulink® solvers lets you debug the implementation and identify design flaws without simulating the ic at the transistor level.

with the mixed-signal analyzer app you can analyze, identify trends in, and visualize mixed-signal data. the cadence virtuoso ade matlab integration option lets you import databases of circuit-level simulation results into matlab®. alternatively, you can import a spice netlist and create or modify a linear, time-invariant circuit with parasitic elements extracted from the ic design. the blockset provides analysis functions for post-processing simulation results to verify specifications, fit characteristics, and report measurements.

get started

learn the basics of mixed-signal blockset

phase-locked loops

design and simulate analog phase-locked loop (pll) systems

data converters

simulate successive-approximation-register (sar) and flash analog to digital data converters (adc)

measurements and testbenches

analyze performance metrics of analog and mixed-signal systems

mix analog and digital signals

combine analog circuit behaviors with digital models to create more detailed representations of electronic systems

mixed-signal blockset models

model examples for pll, adc, serdes, and smps systems using mixed-signal blockset models add-on library

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