Rank: 7529 based on 9 downloads (last 30 days) and 1 file submitted
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Huaichen Chen

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Company/University
Xidian University

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Professional Interests:
signal processing,control

 

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20 Nov 2008 Signal_Flow_Graphz This function solves equations of complex linear systems using matrix moleling and inversion Author: Huaichen Chen control design, mathematics, signal processing, mason 9 1
  • 5.0
5.0 | 1 rating
Comments and Ratings by Huaichen
Updated File Comments Rating
02 Dec 2008 Mason.m Mason.m uses mason's rule to simplify signal flow graphs. Author: Rob Walton

The program is good, but too complex to understand.
We developed a simple way to solve this peoblem in our new submitted file signal_flow_graphz. Where the network description file is replaced by a connection matrix Q and an input Matrix P. The simultaneous equations of the linear system are expressed in a matrix form:
X=QX+PU.
The solution is expressed by a simple MATLAB inversion command line:
W=X/U=inv(eye(size(Q))-Q)*P
Thus the calculation process is completely transparent to the user and eazier to debug or to modify. In signal_flos_graphz this command line is replaced by a function sigflow.m just for doing some check to matrices Q and P. Moreover, this method is valid to MIMO systems.

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07 Nov 2011 Signal_Flow_Graphz This function solves equations of complex linear systems using matrix moleling and inversion Author: Huaichen Chen Iman

Clean job!
The code is easy to use and the PDF help file is quite helpful with its examples. Saved a lot of time by this. Highly recommended.

07 Nov 2011 Signal_Flow_Graphz This function solves equations of complex linear systems using matrix moleling and inversion Author: Huaichen Chen Iman

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