Description: Adaptive Filter. This script shows the BER performance of several types of equalizers in a static channel with a null in the passband. The script constructs and implements a linear equalizer object and a decision feedback equalizer (DFE) object. It also initializes and invokes a maximum likelihood sequence estimation (MLSE) equalizer. The MLSE equalizer is first invoked with perfect channel knowledge, then with a straightforward but imperfect channel estimation technique. Platform: |
Size: 134537 |
Author:zhang |
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Description: 对线性均衡、判决反馈均衡和最大似然序列估计均衡等三种方法的实现和误码率的分析。-Of linear balanced, decision feedback equalizer and maximum likelihood sequence estimation of three methods such as balanced realization and BER analysis. Platform: |
Size: 101376 |
Author:冯巍 |
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Description: Adaptive Filter. This script shows the BER performance of several types of equalizers in a static channel with a null in the passband. The script constructs and implements a linear equalizer object and a decision feedback equalizer (DFE) object. It also initializes and invokes a maximum likelihood sequence estimation (MLSE) equalizer. The MLSE equalizer is first invoked with perfect channel knowledge, then with a straightforward but imperfect channel estimation technique. -Adaptive Filter. This script shows the BER performance of several types of equalizers in a static channel with a null in the passband. The script constructs and implements a linear equalizer object and a decision feedback equalizer (DFE) object. It also initializes and invokes a maximum likelihood sequence estimation (MLSE) equalizer. The MLSE equalizer is first invoked with perfect channel knowledge, then with a straightforward but imperfect channel estimation technique. Platform: |
Size: 134144 |
Author:zhang |
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Description: 信号在信道进行传输时，经常会出现串扰，采用基于最大似然序列估计（MLSE）的电子色散均衡器的方法，克服光纤通信中的由各种色散引起的码间干扰。
研究基于最大似然序列估计（MLSE）的均衡器，采用维特比算法实现，用matlab仿真出采用MLSE后的性能指标（眼图和误码率）的提升。
-Signal transmission channel often occur crosstalk, based on the maximum likelihood sequence estimation (MLSE) electronic dispersion equalizer of the ways to overcome optical fiber communications in a variety of dispersion caused by the inter-symbol interference. Research based on the maximum likelihood sequence estimation (MLSE) of the equalizer, the Viterbi algorithm, a simulation using matlab after using MLSE performance indicators (eye diagram and bit error rate) of the upgrade. Platform: |
Size: 9216 |
Author:Lee |
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Description: 信号在信道进行传输时，经常会出现串扰，采用基于最大似然序列估计（MLSE）的电子色散均衡器的方法，克服光纤通信中的由各种色散引起的码间干扰。 研究基于最大似然序列估计（MLSE）的均衡器，采用维特比算法实现，用matlab仿真出采用MLSE后的性能指标（眼图和误码率）的提升。 -Signal transmission channel often occur crosstalk, based on the maximum likelihood sequence estimation (MLSE) electronic dispersion equalizer ways to overcome optical fiber communications in a variety of dispersion caused by the inter-symbol interference. Research based on the maximum likelihood sequence estimation (MLSE) of the equalizer, the Viterbi algorithm, a simulation using matlab after using MLSE performance indicators (eye diagram and bit error rate) of the upgrade. Platform: |
Size: 240640 |
Author:Lee |
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Description: This demo shows the BER performance of linear, decision feedback (DFE), and maximum likelihood sequence estimation (MLSE) equalizers when operating in a static channel with a deep null. The MLSE equalizer is invoked first with perfect channel knowledge, then with an imperfect, although straightforward, channel estimation algorithm. The BER results are determined through Monte Carlo simulation. The demo shows how to use these equalizers seamlessly across multiple blocks of data, where equalizer state must be maintained between data blocks. Platform: |
Size: 102400 |
Author:Lee |
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Description: Matlab程序，用于比较线性均衡器、判决反馈均衡器(DFE)、盲最大似然序列估计均衡器(MLSE)等误码率性能。-Matlab procedures used to compare the linear equalizer, decision feedback equalizer (DFE), Blind maximum likelihood sequence estimation equalizer (MLSE), such as bit error rate performance. Platform: |
Size: 148480 |
Author:yyc |
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Description: In this paper we develop an optimal receiver for
an asynchronous IDMA system. A super-block structure is used
to formulate the band diagonal matrix model for asynchronous
IDMA. We show that the cost function for the ML decoder can
be viewed as a path metric through a structured trellis. We
use a dynamic programming algorithm to find the maximum
likelihood transmitted bit sequence. We compare the performance
of the optimal receiver with the conventional iterative receiver.
Our results show that the optimal asynchronous IDMA receiver
outperforms the iterative IDMA receiver for the IDMA systems
with small block sizes that we simulated. Platform: |
Size: 1170432 |
Author:raghaw |
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Description: 【1】随机序列产生程序
【2】白噪声产生程序
【3】M序列产生程序
【4】二阶系统一次性完成最小二乘辨识程序
【5】实际压力系统的最小二乘辨识程序
【6】递推的最小二乘辨识程序
【7】增广的最小二乘辨识程序
【8】梯度校正的最小二乘辨识程序
【9】递推的极大似然辨识程序
【10】Bayes辨识程序
【11】改进的神经网络MBP算法对噪声系统辨识程序
【12】多维非线性函数辨识程序的Matlab程序
【13】模糊神经网络解耦Matlab程序
【14】F-检验法部分程序
-【1】 【2-random sequence generation process white noise generation process】 【3】 M sequence generation process 【4】 to complete a one-time second-order system least-squares identification procedure 【5】 actual pressure system least-squares identification procedure 【6】 Delivery Push the least squares identification procedure augmented 【7】 【8】 least square identification procedures for gradient correction least square identification procedure 【9】 Recursive maximum likelihood identification procedures 【10】 【11】 Bayes identification procedures Improved neural network algorithm MBP noise system identification procedure 【12】 multi-dimensional nonlinear function identification program Matlab program 【13】 fuzzy neural network decoupling Matlab program 【14】 F-test part of the program Platform: |
Size: 7168 |
Author:jshuska |
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Description: Readme
Complex class is very similar to the Standard C++ library complex class and the standard C++ class could be substituted in many cases.
Code is wrapped in namespace SPUC
SPUC DSP C++ source code library directory structure
array - Array class from TNT library
comm - primarily digital communications related classes
equalizers - Maximum Likelihood Sequence Detector, RLS and LMS algorithms
generic - most of the code/algorithms
functions - mostly functions (as opposed to classes)
matrix - Matrix/Vector class from IT++
specializations - mostly variations of basic blocks in generic
utility - classes to aid in debug
examples - Examples directory including
qpsk - QPSK + QPSK_VR examples-Readme
Complex class is very similar to the Standard C++ library complex class and the standard C++ class could be substituted in many cases.
Code is wrapped in namespace SPUC
SPUC DSP C++ source code library directory structure
array - Array class from TNT library
comm - primarily digital communications related classes
equalizers - Maximum Likelihood Sequence Detector, RLS and LMS algorithms
generic - most of the code/algorithms
functions - mostly functions (as opposed to classes)
matrix - Matrix/Vector class from IT++
specializations - mostly variations of basic blocks in generic
utility - classes to aid in debug
examples - Examples directory including
qpsk - QPSK + QPSK_VR examples
Platform: |
Size: 429056 |
Author:Prabhat |
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Description: 递推极大似然估计法辨识系统参数，输入是M序列，周期为N=24-1。利用递推极大似然算法对系统参数进行辨识-Recursive maximum likelihood estimation method identification system parameters, input M-sequence, period N = 24-1. Using recursive maximum likelihood algorithm for identification of system parameters Platform: |
Size: 1024 |
Author:雪中蝶 |
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Description: 值得深刻阅读的基于CP的OFDM同步程序这是一个非常好的用于OFDM的基于CP的 最大似然符号定时同步和载波同步的MATLAB仿真程序，经本人深入阅读吸收经典文献，反复编程调试而提炼而成，代码精炼有序序，绝对没有错误，由此程序仿真得到的同步曲线与经典文献完全一致。同仁们阅读此程序一定受益匪浅！ 这里不吝成果，特上载与诸位网友共享。也欢迎同仁们提供更多的优秀程序。 由于文献要求采用N＝1024个子载波
-Worthy of profound reading of the CP-based OFDM synchronization program which is a very good based on the CP maximum likelihood symbol timing synchronization and carrier synchronization for OFDM MATLAB simulation program, after I read in-depth absorption of classical literature, repeated programming and debugging and refining made, the code refined and orderly sequence is absolutely no mistake, this program simulation synchronization curves and classic literature is exactly the same. Colleagues to read this program must benefit Generous achievements, special upload to share with you friends. Also welcome colleagues to provide more excellent program. Because the literature require the use of N = 1024 subcarriers Platform: |
Size: 1024 |
Author:勇敢 |
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Description: 展示了线性、DFE、MLSE均衡器的信噪比性能，并通过蒙特卡罗模拟信道估计结果确定。-This demo shows the BER performance of linear, decision feedback (DFE), and maximum likelihood sequence estimation (MLSE) equalizers when operating in a static channel with a deep null. The MLSE equalizer is invoked first with perfect channel knowledge, then with an imperfect, although straightforward, channel estimation algorithm. The BER results are determined through Monte Carlo simulation. The demo shows how to use these equalizers seamlessly across multiple blocks of data, where equalizer state must be maintained between data blocks.
Platform: |
Size: 112640 |
Author: |
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Description: 最大似然（ML）准则和最大后验概率（MAP）准则，MIMO OFDM matlab仿真,LZ复杂度反映的是一个时间序列中。- Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, MIMO OFDM matlab simulation, LZ complexity is reflected in a time sequence. Platform: |
Size: 5120 |
Author:scdkww |
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Description: 最大似然（ML）准则和最大后验概率（MAP）准则，matlab开发工具箱中的支持向量机，LZ复杂度反映的是一个时间序列中。- Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, matlab development toolbox support vector machine, LZ complexity is reflected in a time sequence. Platform: |
Size: 6144 |
Author:王苑 |
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Description: 本程序的性能已经达到较高水平，LZ复杂度反映的是一个时间序列中，最大似然（ML）准则和最大后验概率（MAP）准则。- The performance of the program has reached a high level, LZ complexity is reflected in a time sequence, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion. Platform: |
Size: 5120 |
Author:田淼信 |
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Search - maximum likelihood sequence