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// BEZIER.RC2 - resources Microsoft Visual C++ does not edit directly
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#ifdef APSTUDIO_INVOKED
#Error this file is not editable by Microsoft Visual C++
#endif //APSTUDIO_INVOKED
This a software runing on the matlab, it is used in the channel coding simulation.
It include DVB-S2 LDPC, Covolution turbo, and block turbo code, You can choose which channel coding to run.
it run the encoder and add white noise in the channel, then it run the decoder, and compute the Error rate.
The cable compensation system is an experiment system that performs simulations of partial or microgravity environments on earth. It is a highly nonlinear and complex system.In this paper, a network based on the theory of the Fuzzy Cerebellum Model Articulation Controller(FCMAC) is proposed to control this cable compensation system. In FCMAC ,without appropriate learning rate, the control system based on FCMAC will become unstable or its convergence speed will become slow.In order to guarantee the convergence of tracking Error, we present a new kind of optimization based on adaptive GA for selecting learning rate.Furthermore, this approach is evaluated and its performance is discussed.The simulation results shows that performance of the FCMAC based the proposed method is stable and more effective.
* CONSTRAINTS
* This module does not handle data which is considered out of range by the
* application(i.e. fixed constants which represent Error condition)
*
* Maximum weight value must be limited to 128 to prevent an overflow
* condition during the calculation.
*
* The internal data type must be large enough to handle the calculations.
* The maximum possible internal value
* = Max Input Value * (weight - 1) + Max Input Value
* If a maximum weight of 128 is used, the internal data type should be 2
* times the size of the input data type.
This paper addresses the issues relating to the
enforcement of robust stability when implementing the Adaptive
Inverse Control (AIC) scheme. In this scheme, an adaptive
FIR filter is added to a closed-loop system in order to
reduce the output Error caused by external disturbances,
enhancing the performance achieved by linear time-invariant
controllers alone.
使用到的參數(shù)跟談到彈性網(wǎng)絡(luò)的那一章里頭所講的是一樣的， ke 則是終止條件。如果 step 被打勾，則程式在每一步之間會(huì)暫停 100毫秒（或其他使用者輸入的數(shù)值）。如果 Random 被打勾，則程式會(huì)以系統(tǒng)時(shí)間作為亂數(shù)產(chǎn)生器的種子數(shù)，否則，就以使用者輸入的數(shù)（ Random 右邊那一格）為種子數(shù)。
你可以利用 load 來載入推銷員問題檔與其最佳解，如此便可比較彈性網(wǎng)絡(luò)所找出來的解與最佳解差了多少。
Central, Radius, and Error 這三個(gè)參數(shù)的前兩個(gè)，只影響彈性網(wǎng)絡(luò)的起使位置和大小，對(duì)求解沒有影響。第三個(gè)參數(shù)代表城市與網(wǎng)絡(luò)點(diǎn)之間的容忍距離，也就是說，如果某城市與某網(wǎng)絡(luò)點(diǎn)之間的距離，小于容忍距離，那就把這個(gè)城市當(dāng)成是被該網(wǎng)絡(luò)點(diǎn)所拜訪。
按下小 w按鈕會(huì)將目前的結(jié)果與參數(shù)值寫到“en.out”這個(gè)檔案。使得我們可以很方便地來比較不同參數(shù)的效果。
