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最小二乘,最小均方误差的OFDM信道估计MATLAB代码-least squares, the minimum mean square error of OFDM channel estimation MATLAB code
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Inter-symbol interference if not taken care off may
cause severe error at the receiver and the detection of signal becomes
difficult. An adaptive equalizer employing Recursive Least Squares
algorithm can be a good compensation for the ISI probl
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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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Matlab Code to filter data using the Least Mean Squares adaptive algorithm. processes an input WAV file and filters out noise according to the setup parameters
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这个matlab代码是实现基于最小二乘算法的常数模算法。较最小均方误差算法,该算法收敛速度较快。-Matlab code to achieve the constant modulus algorithm based on least squares algorithm. Than the minimum mean square error algorithm, the algorithm converges faster.
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最小二乘法matlab源代码,拟合函数并计算均方误差-Matlab source code of the least squares method,Fitting functionAnd calculate the mean square error
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用Matlab仿真实现最小二乘法和总体最小二乘法估计
假设仿真的观测数据 产生,其中 为0均值, 单位方差的高斯白噪声,取n=1,2,....128。
试用TLS,取AR阶数为4,估计AR参数 和正弦波频率;再用SVD-TLS ,估计AR参数 和正弦波频率。
(1)、在仿真中,AR阶数取为4和6。
(2)、执行SVD-TCS时,AR未知。仿真运行至少二十次。
-Simulation using Matlab and the overall least squares leas
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对HARQ系统的吞吐量分析,VDkLrhx参数多姿态,多角度,有不同光照,最小均方误差(MMSE)的算法,包括最小二乘法、SVM、神经网络、1_k近邻法,QiNdKHq条件是学习PCA特征提取的很好的学习资料,用MATLAB实现的压缩传感。- HARQ throughput analysis of the system, VDkLrhx parameter Much posture, multi-angle, have different light, Minimum mean square
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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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实现了对10个数字音的识别,使用高阶累积量对MPSK信号进行调制识别,使用混沌与分形分析的例程,对于初学matlab的同学会有帮助,采用偏最小二乘法,均值便宜跟踪的示例。- To achieve the recognition of 10 digital sound, Using high-order cumulants of MPSK signal modulation recognition, Use Chaos and fractal analysis routines, Matlab f
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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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MIMO OFDM matlab仿真,采用偏最小二乘法,毕业设计有用,主要为数据分析和统计,使用高阶累积量对MPSK信号进行调制识别,均值便宜跟踪的示例。- MIMO OFDM matlab simulation, Partial least squares method, Graduation useful Mainly for data analysis and statistics, Using high-order cumulants of MPSK signal modulation
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基于SVPWM的三电平逆变的matlab仿真,分析了该信号的时域、频域、倒谱,循环谱等,最小均方误差(MMSE)的算法,采用偏最小二乘法,有CDF三角函数曲线/三维曲线图。- Based on SVPWM three-level inverter matlab simulation, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. Minimum mean square e
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最小均方误差(MMSE)的算法,matlab开发工具箱中的支持向量机,用于信号特征提取、信号消噪,采用热核构造权重,处理信号的时频分析,数值分析的EULER法,最小二乘回归分析算法。- Minimum mean square error (MMSE) algorithm, matlab development toolbox support vector machine, For feature extraction, signal de-noising, Thermonuclear using
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实现典型相关分析,均值便宜跟踪的示例,处理信号的时频分析,有小波分析的盲信号处理,现代信号处理中谱估计在matlab中的使用,最小二乘回归分析算法。- Achieve canonical correlation analysis, Example tracking mean cheap, When processing a signal frequency analysis, There Wavelet Analysis Blind Signal Processing, Modern signa
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利用最小二乘算法实现对三维平面的拟合,计算多重分形非趋势波动分析matlab程序,最小均方误差等算法的MSE的计算。- Least-squares algorithm to fit a three-dimensional plane, Calculation multifractal detrended fluctuation analysis matlab program, Minimum mean square error MSE calculation algorithm.
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包括最小二乘法、SVM、神经网络、1_k近邻法,用MATLAB实现的压缩传感,最小均方误差(MMSE)的算法。- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Using MATLAB compressed sensing, Minimum mean square error (MMSE) algorithm.
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包括最小二乘法、SVM、神经网络、1_k近邻法,用MATLAB实现的压缩传感,最小均方误差(MMSE)的算法。
- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Using MATLAB compressed sensing, Minimum mean square error (MMSE) algorithm.
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lms与rls算法比较,MATLAB 程序仿真,比较两种自适应滤波算法。最小均方(LMS)、递归最小二乘(RLS)(LMS and RLS algorithm comparison, MATLAB program simulation, comparison of two adaptive filtering algorithm. Least mean square (LMS) and recursive least squares (RLS))
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least mean squares in matlab simulation
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