搜索资源列表
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4 16 64 QAM plots for simulated and theoretical results for OFDM system with addition of Cyclic prefix and a zero-Forcing equalizer.
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MIMO with Zero Forcing Successive Interference Cancellation equalizer
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自己编写的zero forcing equalizer,完全可用-I have written zero forcing equalizer, fully available
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迫零算法,用于均衡器中,仿真比较其算法性能-Zero-Forcing algorithm for the equalizer, the simulation algorithm to compare their performance
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Zero forcing Equalizer random channel, input, noise
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Zero-forcing Equalizer
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The main code is called "comparison of equalization schemes".
It uses functions, defined seperately to compute the bit error rate for different typs of equalizers.
That means times domain equalizer (TDE) with minimum mean square (MMSE) and zero
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mimo for zero forcing equalizer
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Zero-forcing equalizer
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简单的OFDM的均衡程序,采用的是ZF(迫零均衡),效果较好。-OFDM-equalization process simple, using the ZF (zero forcing equalizer) is better.
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基于迫零算法的反馈判决自适应均衡器--matlab编程 代码-Adaptive equalizer feedback judgments based on zero forcing algorithm
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基于迫零算法的反馈判决自适应均衡器——matlab编程-Adaptive equalizer feedback judgments based on zero forcing algorithm
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该程序计算了2*2的MIMO信道在瑞利衰落下、BPSK调制下迫零均衡的误比特率,并有理论值和仿真值的对比-The program calculates the bit error rate of 2* 2 MIMO channel in Rayleigh fading, BPSK modulation, the zero forcing equalizer, and a comparison of the theoretical values and simulati
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代码实现了最小均方差和迫零均衡器的误码率仿真图,并且通过对比理论曲线,验证了代码的正确性。-Code implements the MMSE and zero forcing equalizer BER simulation diagram, and by comparing the theoretical curves to verify the correctness of the code.
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考虑一个信道失真了的脉冲,在均衡器的输入端由下式表示:
其中,1/T是符号率,该脉冲在2/T采样率被采样,而且用2K+1=11节的强迫归零均衡器给予均衡,写一个MATLAB程序来解这些强迫归零均衡器的系数,求出并画出这个归零均衡器的50个采样值的输出。-Consider a channel distortion of the pulse, the equalizer input end is represented by the formula:
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通信原理时域均衡部分的五抽头迫零均衡器,很有用-Five tap the communication domain equalization principle part of zero-forcing equalizer, useful
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报告第二部分给出了均衡器结构以及迫零均衡器和最小均方误差均衡器理论推导,第三部分 给出了均衡器的 Matlab 仿真;第四部分给出了两种均衡器的仿真结果及对比;附录给出了两种 均衡器的 Matlab 程序,总的程序,以及托普利兹矩阵与卷积作比较和自相关的计算。(The second part of the report gives the theoretical derivation of the equalizer structure and the zero-forcing equalize
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考虑一个信道失真了的脉冲x(t),在均衡器的输入端由下式表示:x(t)=1/(1+(2t/T)^2)
其中1/T为符号率。该脉冲以2/T采样率被采样,而且用一个2K+1=11的强迫归零均衡器进行均衡。写一个Matlab程序来解这些迫零均衡器的系数,求出并画出这个迫零均衡器50个采样值的输出。(Considering a channel distortion of the pulse x (T), the input end of the equalizer is represented by
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