Description: 在DS-spread spectrum系统中,噪声为加性高斯白噪声,传统单用户检测,线性解相关多用户检测和最小均方误差多用户检测的性能比较-In the DS-spread spectrum system, the noise is additive white Gaussian noise, the traditional single-user detection, the linear decorrelating multiuser detector and minimum mean-square error multiuser detection performance comparison Platform: |
Size: 4096 |
Author:zxy |
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Description: MATLAB code on linear minimum mean square error (LMMSE) estimation and its application to the problem of channel equalization in digital communication systems.
amr amin: code on the application of channel equalization in digital communication systems. - MATLAB code on linear minimum mean square error (LMMSE) estimation and its application to the problem of channel equalization in digital communication systems.
amr amin: code on the application of channel equalization in digital communication systems. Platform: |
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Author:amr |
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Description: MATLAB code on linear minimum mean square error (LMMSE) estimation and its application to the problem of channel equalization in digital communication systems.
amr amin: code on the application of channel equalization in digital communication systems. - MATLAB code on linear minimum mean square error (LMMSE) estimation and its application to the problem of channel equalization in digital communication systems.
amr amin: code on the application of channel equalization in digital communication systems. Platform: |
Size: 2048 |
Author:amr |
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Description: MATLAB code on linear minimum mean square error (LMMSE) estimation and its application to the problem of channel equalization in digital communication systems.
amr amin: code on the application of channel equalization in digital communication systems. - MATLAB code on linear minimum mean square error (LMMSE) estimation and its application to the problem of channel equalization in digital communication systems.
amr amin: code on the application of channel equalization in digital communication systems. Platform: |
Size: 1024 |
Author:amr |
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Description: MATLAB code on linear minimum mean square error (LMMSE) estimation and its application to the problem of channel equalization in digital communication systems.
amr amin: code on the application of channel equalization in digital communication systems. - MATLAB code on linear minimum mean square error (LMMSE) estimation and its application to the problem of channel equalization in digital communication systems.
amr amin: code on the application of channel equalization in digital communication systems. Platform: |
Size: 1024 |
Author:amr |
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Description: MATLAB code on linear minimum mean square error (LMMSE) estimation and its application to the problem of channel equalization in digital communication systems.
amr amin: code on the application of channel equalization in digital communication systems. - MATLAB code on linear minimum mean square error (LMMSE) estimation and its application to the problem of channel equalization in digital communication systems.
amr amin: code on the application of channel equalization in digital communication systems. Platform: |
Size: 2048 |
Author:amr |
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Description: TD-SCDMA系统中的联合检测算法中的最小均方误差线性块均衡器(MMSE一BLE）算法的MATLAB程序
-TD-SCDMA system, the joint detection algorithm in the minimum mean square error block linear equalizer (MMSE a BLE) program MATLAB algorithm Platform: |
Size: 1024 |
Author:张研 |
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Description: 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 forcing (ZF) algorithm,time domain decision feedback equalizer (DF_TDE) and linear frequency domain equalizer (FDE) with MMSE and ZF algorithms are used.For all simulations QPSK symbols and a tapped delay line channel with white gaussian noise are used.
Allthough the codes should be regarded as one package every single function can be of good use for other simulations.
With best regards,
Andreas Platform: |
Size: 6144 |
Author:Sokolov |
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Description: 项目采用matlab对强迫零均衡器、最小均方误差均衡器、自适应线性均衡器进行了编程实现，并给出了计算机的仿真结果以及对仿真结果的分析，最后，给出递归最小二乘准则下的均衡器仿真予以比较。-Forced to zero on the project using matlab equalizer, minimum mean square error equalizer, adaptive linear equalizer is programmed to achieve, and gives the computer simulation results and analysis of simulation results, Finally, the recursive least squares Simulation criterion to be relatively balanced. Platform: |
Size: 8192 |
Author:gaoliangy |
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Description: 一个线性预测的matlab仿真程序，先用模型生成原始信号(平稳随机过程)，然后利用最小均方误差准则计算出预测系数，最后利用预测系数对原始信号进行预测(利用原始信号过去n个时刻的值预测当前时刻的值)。-This is a matlab program for linear prediction. First, we use all-pole model to generate a signal(stationary signal), then utilize the Minimum Mean-Square Error to compute the filter cofficient, at last we can use the filter cofficient to predict(use past n signal data to predict current signal data). Platform: |
Size: 6175744 |
Author:liucun |
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Description: 用MATLAB实现的卡尔曼滤波，根据有用信号和干扰噪声的统计特性（自相关函数或功率谱），以线性最小均方误差（MSE），能最大程度的滤除干扰噪声，提取有用信号。-Kalman filter using MATLAB, based on the statistical properties of the useful signal and interference noise (autocorrelation function or power spectrum), linear minimum mean square error (MSE), filter out noise interference to the greatest extent, to extract the useful signal. Platform: |
Size: 1024 |
Author:唐心 |
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Description: 卡尔曼滤波是解决以均方误差最小为准则的最佳线性滤波问题，它根据前一个估计值和最近一个观察数据来估计信号的当前值。而本程序是利用matlab实现卡尔曼滤波-Kalman filter is the solution to the minimum mean square error criterion optimal linear filtering problem, which according to the previous estimate and the most recent observational data to estimate the current value of the signal. The realization of this program is to use the Kalman filter matlab Platform: |
Size: 582656 |
Author:阿批 |
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Description: 直线阵采用切比学夫加权控制主旁瓣比，最大似然（ML）准则和最大后验概率（MAP）准则，包括最小二乘法、SVM、神经网络、1_k近邻法,matlab开发工具箱中的支持向量机，调试通过可以使用，最小均方误差（MMSE）的算法。-Linear array using cut than learning laid upon the right control of the main sidelobe ratio, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, matlab development toolbox support vector machine, Debugging can be used, Minimum mean square error (MMSE) algorithm. Platform: |
Size: 6144 |
Author:szzyqg |
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Description: 采用偏最小二乘法，仿真效果非常好，对于初学者具有参考意义，直线阵采用切比学夫加权控制主旁瓣比，最小均方误差（MMSE）的算法，matlab开发工具箱中的支持向量机。- Partial least squares method, Simulation of the effect is very good, For beginners with a reference value, Linear array using cut than learning laid upon the right control of the main sidelobe ratio, Minimum mean square error (MMSE) algorithm, matlab development toolbox support vector machine. Platform: |
Size: 7168 |
Author:mzasag |
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Description: 正确率可以达到98％，最小均方误差（MMSE）的算法，直线阵采用切比学夫加权控制主旁瓣比，music高阶谱分析算法，在matlab环境中自动识别连通区域的大小。- Accuracy can reach 98 , Minimum mean square error (MMSE) algorithm, Linear array using cut than learning laid upon the right control of the main sidelobe ratio, music higher order spectral analysis algorithm, Automatic identification in the matlab environment the size of the connected area. Platform: |
Size: 11264 |
Author:kqmhwekr |
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Description: D-S证据理论数据融合，IDW距离反比加权方法，包括随机梯度算法，相对梯度算法，进行逐步线性回归，使用matlab实现智能预测控制算法，最小均方误差（MMSE）的算法，isodata 迭代自组织的数据分析，包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法。- D-S evidence theory data fusion, IDW inverse distance weighting method, Including stochastic gradient algorithm, the relative gradient algorithm, Stepwise linear regression, Use matlab intelligent predictive control algorithm, Minimum mean square error (MMSE) algorithm, Isodata iterative self-organizing data analysis, Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm. Platform: |
Size: 8192 |
Author:kasqk |
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Description: 进行逐步线性回归，最小均方误差（MMSE）的算法，主要为数据分析和统计，实现典型相关分析，到达过程是的泊松过程，matlab小波分析程序，包含优化类的几个简单示例程序。- Stepwise linear regression, Minimum mean square error (MMSE) algorithm, Mainly for data analysis and statistics, Achieve canonical correlation analysis, Arrival process is a Poisson process, matlab wavelet analysis program, Optimization class contains several simple sample programs. Platform: |
Size: 12288 |
Author:rubfzsnm |
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Description: 本程序利用MATLAB对信号进行分析和处理，主要就是进行语音线性预测通过使实际语音抽样值与线性预测抽样值的均方误差达到最小，可以确定唯一的一组线性预测系数。-This procedure using MATLAB for signal analysis and processing, mainly for voice linear prediction by the actual voice sampling error of the mean square value and the minimum value of the linear prediction sample can be determined only one set of linear prediction coefficients. Platform: |
Size: 23552 |
Author:林霞 |
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