Description: 用遗传算法解决通信中的TDOA问题
文件名 program
完成功能 求出在进行account_test次的试验中每一次的最优染色体，并且求出均值MV，和均方误差MSE
文件名 definition_constant( )
完成功能 对各个常量试验参数进行设定
文件名 main_program
完成功能 完成一次试验的计算
文件名 all_Noise
完成功能 计算TDOA值（由基站所测量的TDOA（受到噪声的干扰）)
文件名 gen_ini_pop_arr
完成功能 产生染色体矩阵pop_arr，矩阵的1，2行为估计的x，y坐标，矩阵的3，4行为0。-using genetic algorithms to solve the communication problems TDOA documents were obtained functional program completed during account_test meeting the test of the optimal every chromosome, and calculated average MV, and the mean square error MSE definition_constant file name () function to complete all regular Experimental parameters set main_program documents were completed functional testing of a complete calculation File Name all_Noise complete functional calculation TDOA value (measured from the base station TDOA (subject to noise interference )) File Name gen_ini_pop_arr have completed functional matrix pop_arr chromosome, the matrix acts estimated 1,2 x, y coordinates, and the matrix acts 3,4 0. Platform: |
Size: 3072 |
Author:田园 |
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Description: BP神经网络算法的matlab代码，本程序根据训练好的网络文件ANN.mat预测新的数据文件，得到均方误差，并画出预测数据和原数据的对比图。希望有用-BP neural network algorithm Matlab code, the procedures under the trained network file ANN.mat anticipating new data files, be mean square error, paint and forecast data and the original data in contrast to Fig. Hope useful Platform: |
Size: 15360 |
Author:杨力 |
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Description: 完成对输入图像Fig8.23.jpg利用Haar小波进行图像小波变换，变换系数量化，小波逆变换完成图像重构，并计算其重构图像的均方误差和信噪比来评估图像的重构误差-Completion of the input image Fig8.23.jpg use Haar wavelet image wavelet transform, transform coefficients quantify the inverse wavelet transform the completion of image reconstruction, and calculate the reconstructed image of the mean square error and signal to noise ratio to assess the image reconstruction error Platform: |
Size: 131072 |
Author:朱为总 |
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Description: LMS自适应滤波器是使滤波器的输出信号与期望响应之间的误差的均方值为最小，因此称为最小均方（LMS）自适应滤波器。-LMS adaptive filter is to filter the output signal in response to and expectations of the error between the mean square value of the smallest, so called the least mean square (LMS) adaptive filter. Platform: |
Size: 47104 |
Author:jj |
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Description: 最小均方（LMS）自适应算法就是一中已期望响应和滤波输出信号之间误差的均方值最小为准的，依据输入信号在迭代过程中估计梯度矢量，并更新权系数以达到最优的自适应迭代算法。LMS算法是一种梯度最速下降方法，其显著的特点是它的简单性。这算法不需要计算相应的相关函数，也不需要进行矩阵运算。-Minimum mean-square (LMS) adaptive algorithm is that one has to respond to the expectations and filtering the output signal of the mean square error between the value of the minimum-based, based on the input signal is estimated in the iterative process of gradient vector, and to update the weights in order to achieve the most Adaptive iterative algorithm gifted. LMS algorithm is a steepest descent gradient method, and its significant features is its simplicity. This algorithm does not require calculation of the corresponding correlation function, nor the need for matrix calculation. Platform: |
Size: 3072 |
Author:闫丰 |
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Description: 若不希望用与估计输入信号矢量有关的相关矩阵来加快LMS算法的收敛速度，那么可用变步长方法来缩短其自适应收敛过程，其中一个主要的方法是归一化LMS算法（NLMS算法），变步长 的更新公式可写成
W（n+1）=w（n）+ e（n）x（n）
=w（n）+ （3.1）
式中， = e（n）x（n）表示滤波权矢量迭代更新的调整量。为了达到快速收敛的目的，必须合适的选择变步长 的值，一个可能策略是尽可能多地减少瞬时平方误差，即用瞬时平方误差作为均方误差的MSE简单估计，这也是LMS算法的基本思想。
-Want to estimate if the input signal vector and the relevant matrix to speed up the convergence rate of LMS algorithm, then the variable step size method can be used to shorten its adaptive convergence process, one of the main method is normalized LMS algorithm (NLMS algorithm) , variable step-size update formula can be written W (n+ 1) = w (n)+ e (n) x (n) = w (n)+ (3.1) where, = e (n) x (n) the right to express filter update vector iterative adjust the volume. In order to achieve the purpose of fast convergence, we must choose the appropriate value of variable step size, a possible strategy is as much as possible to reduce the instantaneous squared error, which uses the instantaneous squared error as the mean square error MSE of the simple estimate, which is the basic LMS algorithm思想. Platform: |
Size: 3072 |
Author:闫丰 |
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Description: 采用Matlab编写的最小二乘法，实现对两类的正确分类-Prepared by the use of Matlab least squares method, to realize two types of correct classification Platform: |
Size: 2048 |
Author:junrren |
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Description: In this project we analyze and design the minimum mean-square error (MMSE) multiuser receiver for uniformly quantized synchronous code division multiple access (CDMA) signals in additive white Gaussian noise (AWGN) channels.This project is mainly based on the representation of uniform quantizer by gain plus additive noise model. Based on this model, we derive the weight vector and the output signal-to-interference ratio (SIR) of the MMSE receiver. The effects of quantization on the MMSE receiver performance is characterized in a single parameter named 鈥漞quivalent noise variance鈥? The optimal quantizer stepsize which maximizes the MMSE receiver output SNR is also determined.-In this project we analyze and design the minimum mean-square error (MMSE) multiuser receiver for uniformly quantized synchronous code division multiple access (CDMA) signals in additive white Gaussian noise (AWGN) channels.This project is mainly based on the representation of uniform quantizer by gain plus additive noise model. Based on this model, we derive the weight vector and the output signal-to-interference ratio (SIR) of the MMSE receiver. The effects of quantization on the MMSE receiver performance is characterized in a single parameter named 鈥漞quivalent noise variance鈥? The optimal quantizer stepsize which maximizes the MMSE receiver output SNR is also determined. Platform: |
Size: 147456 |
Author:prasad |
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Description: 本实验要求编写一个计算压缩-解压缩图像的均方根误差、均方信噪比的程序。该程序是一个通用程序。编写程序产生图示的结果。使用上面的保真度准则程序计算可视信息的损失特性。-Prepared in this experiment, a calculation of compression- decompression of the root-mean-square error of image, mean square signal to noise ratio of the procedure. The procedure is a common procedure. Picture shows the preparation of the results of procedures. The use of the above criteria for the fidelity of calculated loss characteristics of visual information. Platform: |
Size: 95232 |
Author:jhm |
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Description: 采用最小均方准则误差的自适应滤波器，根据输入信号的统计特性自动调整其结构参数，以满足某种最佳准则的要求。-Guidelines for use of minimum mean-square error of the adaptive filter, according to statistical characteristics of the input signal automatically adjusting its structural parameters, in order to meet a best guidelines. Platform: |
Size: 10240 |
Author:韩一广 |
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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: 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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Search - mean square error in matlab