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RLS_data

于 2010-01-21 发布 文件大小:16KB
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  利用matlab语言实现递推最小二乘算法,里面包含程序运行时的xls数据(Matlab language implementation using recursive least squares algorithm, which contains the program runs when the xls data)

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  • CH5
    This is a GUI based system. The GUI is invoked from the command line by typing "ui_start". The GUI is self explanatory. Tool tips are given in blue color. The cursor needs to be positioned on these for detailed explanation. The main file is "runsim.m".It is recommended that 10000 runs (packets) be used for plotting frame error rates and 5000 runs for BER/SER. Obviously, you would require a fast machine!!! At least a P4 machine. We have used trace criterion for 4PSK states 4,8 and 16 as an example for 2x2 cases. The reader can use rank and determinant criteria, by commenting the trace criterion lines and copying the rank and determinant lines from the respective 2x1 cases. The SNR range can be varied by correcting the range at line 36 of file "runsim.m". This software has been tested with MATLAB version 6.0 and above with signal processing and communications toolbox options. (This is a GUI based system. The GUI is invoked from the command line by typing " ui_start" . The GUI is self explanatory. Tool tips are given in blue color. The cursor needs to be positioned on these for detailed explanation. The main file is " runsim.m" . It is recommended that 10000 runs (packets) be used for plotting frame error rates and 5000 runs for BER/SER. Obviously, you would require a fast machine!!! At least a P4 machine. We have used trace criterion for 4PSK states 4,8 and 16 as an example for 2x2 cases. The reader can use rank and determinant criteria, by commenting the trace criterion lines and copying the rank and determinant lines from the respective 2x1 cases. The SNR range can be varied by correcting the range at line 36 of file " runsim.m" . This software has been tested with MATLAB version 6.0 and above with signal processing and communications toolbox options.)
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