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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 sys
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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 sys
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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 sys
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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 sys
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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 sys
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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
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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-S
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研究了自适应参数谱估计的基本原理，提出了基于最小均方误差(MMSE)准则的LMS格型滤波算法实
现自适应参数谱估计的方法。通过对仿真测试信号和线性调频信号的计算表明，该方法能够在改善谱分辨率的
同时提高运算效率，满足遥测速变信号的处理和分析计算的要求-This paper discusses the principle of adaptive parametric spectrum estimation．It provides an approach to es—
timate po
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卡尔曼滤波器的算法C实现
最佳线性滤波理论起源于40年代美国科学家Wiener和前苏联科学家Ｋолмогоров等人的研究工作，后人统称为维纳滤波理论。从理论上说，维纳滤波的最大缺点是必须用到无限过去的数据，不适用于实时处理。为了克服这一缺点，60年代Kalman把状态空间模型引入滤波理论，并导出了一套递推估计算法，后人称之为卡尔曼滤波理论。卡尔曼滤波是以最小均方误差为估计的最佳准则，来寻求一套递推估计的算法，其基本思想是：采用信号与噪声的状态空间模型，利用前一时刻地估计值和现时刻的观测值来
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运用最小均方误差方法实现波束形成，包括均匀直线阵和平面阵-Using the minimum mean square error method to achieve beamforming, including the uniform linear array and planar array.
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LMMSE，线性最小均方误差估计，一种参数估计的方法，使用的代价函数为均方误差。-The LMMSE, linear minimum mean square error estimation, a parameter estimation method, using the cost function for the mean square error.
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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 obser
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In statistics and signal processing, a minimum mean square error (MMSE) estimator is an estimation method which minimizes the mean square error (MSE) of the fitted values of a dependent variable, which is a common measure of estimator quality. In the
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In statistics and signal processing, a minimum mean square error (MMSE) estimator is an estimation method which minimizes the mean square error (MSE) of the fitted values of a dependent variable, which is a common measure of estimator quality. In the
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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
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阵列信号处理的高分辨率估计，最小均方误差（MMSE）的算法，是小学期课程设计的题目，采用了小波去噪的思想，合成孔径雷达（SAR)目标成像仿真，直线阵采用切比学夫加权控制主旁瓣比。- High-resolution array signal processing estimates, Minimum mean square error (MMSE) algorithm, Is the topic of the elementary school stage curriculum design, U
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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 co
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大学数值分析算法，最小均方误差（MMSE）的算法，进行逐步线性回归，实现了对10个数字音的识别程序三相光伏逆变并网的仿真。- University of numerical analysis algorithms, Minimum mean square error (MMSE) algorithm, Stepwise linear regression, Realization of 10 digital audio recognition program Three-phase photov
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相控阵天线的方向图（切比雪夫加权），是路径规划的实用方法，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，欢迎大家下载学习。- Phased array antenna pattern (Chebyshev weights), Is a practical method of path planning, Minimum mean square error (MMSE) algorithm, Linear array using cut than learning laid
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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 h
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