PLL Design with MATLAB and Simulink

From the series: Designing Mixed-Signal Systems using MATLAB and Simulink

Chris Aden, MathWorks
Mike Woodward, MathWorks

In this webinar, learn how companies are shortening their time-to-market for PLLs with MATLAB & Simulink. We will demonstrate how top-down design accelerates simulations and reduces overall design time. We’ll show how top-down PLL design works in practice and provide examples of this method in use for commercial PLL design. You will see several different PLL examples, including:

Stability analysis
Fractional-N
Integration of top-down PLL design with SPICE tools

About the Presenter:
Mike Woodward is the communications and semiconductor industry marketing manager at MathWorks. He has degrees in Semiconductor and Microwave Physics and has been active in the communications and semiconductor industry for many years. Mike worked on the transmission infrastructure for the UK’s commercial DAB transmission network, a project that was awarded the British Computer Society’s IT Award for Excellence in 2000. He has also worked on audio processing and has several audio processing patents. Over the last few years, he has been working on mixed-signal design at MathWorks and has written a number of articles on system-level mixed-signal design.

Product Focus

Recorded: 1 Apr 2013

Series: Designing Mixed-Signal Systems using MATLAB and Simulink

19:41

Top-Down Mixed-Signal Design with MATLAB and Simulink In this webinar we demonstrate how engineers can build a coherent design flow for mixed-signal design. We illustrate this through demonstrations and case studies from industry.

19:36

PLL Design with MATLAB and Simulink PLL simulations are often slow, lengthening project development time. To speed up PLL design, engineers are using MathWorks tools. These tools model feedback efficiently, allow analog and digital components to be simulated together, and have abstract

19:41

SERDES Design with MATLAB and Simulink Linking system-level and circuit-level design tools can lead to faster time-to-market, earlier error detection, and reduced development costs. In this webinar, MathWorks engineers show how these benefits have been achieved and provide examples.