Description: 对于如何设计数字PLL的参数很有帮助.
分析了在最小等效噪声带宽，最小相位均方误差，以及最短锁定时间三种意义上的参数优化设计-For how to design the parameters of the digital PLL helpful. Analysis of the minimum noise equivalent bandwidth, minimum-phase mean-square error, as well as the minimum lockout time of three within the meaning of parameter optimization design Platform: |
Size: 82944 |
Author:葭葭 |
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Description: 通过计算机MATLAB仿真分析和研究了维纳滤波器的阶数、信号的噪声方差、随机信号的采样点数、经过维纳滤波的均方误差之间的关系-MATLAB simulation by computer analysis and research of Wiener filter order, the signal of the noise variance, random signal sampling points, after Wiener filter mean square error of the relationship between Platform: |
Size: 1024 |
Author:李伊 |
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Description: 利用MATLAB仿真软件对LMS和RLS两种算法进行仿真，通过仿真比较了两种算法的收敛速度，对两种算法收敛后的误码率进行分析，研究了步长对LMS算法均方误差性能曲线的影响和遗忘因子对RLS算法性能曲线的影响。-Using MATLAB simulation software for two types of LMS and RLS algorithm simulation, the simulation compares the convergence rate of two algorithms, two algorithms for bit error rate after convergence analysis to study the step-size LMS algorithm for the mean square error performance curve the impact and forgetting factor RLS algorithm for the impact of performance curve. Platform: |
Size: 1024 |
Author:shu |
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Description: matlab的各种自适应仿真分析。。自适应信息处理的算法、方案繁多，究其实质可归纳为遵循最小均方误差(Least Mean Square，LMS)准则及最小二乘(Least Square，LS)准则两大类，其他算法大多是这两种算法的演进。-matlab simulation analysis of various adaptive. . Adaptive information processing algorithms, a variety of plans, their essence can be summarized as follows the minimum mean square error (Least Mean Square, LMS) criterion and least squares (Least Square, LS) criteria for two categories, most of the two other algorithms kind of algorithm evolution. Platform: |
Size: 2366464 |
Author:杨学海 |
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Description: 入侵检测系统在训练过程中需要大量有标识的监督数据进行学习,不利于其应用和推广.为了解决该问题,提出了一种基于主成分分析的无监督异常检测方法,在最小均方误差原则下学习样本的主要特征,经过压缩和还原的互逆过程后能最大限度地复制样本信息,从而根据均方误差的差异检测出异常信息.构建的仿真系统经过实验证明,基于主成分分析的无监督异常检测方法能够在无需专家前期参与的情况下检测出入侵,实验结果验证了其有效性.-Intrusion Detection System in the training process requires a large logo of Jiandushuoju learning, negative effect on their application and promotion. In order to solve the problem, a principal component analysis based on unsupervised anomaly detection method, the principle of the minimum mean square error The main characteristics of the sample under study, after compression and the reciprocal reduction procedure to copy the sample information as possible to the mean square error of the difference according to detect anomalies. Construction of the simulation system has been proved, not based on principal component analysis anomaly detection methods to monitor without the participation of experts in early detection of invasive cases, experimental results show its effectiveness. Platform: |
Size: 450560 |
Author:lwh |
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Description: 在分析最小均方自适应滤波器(LMSAF)均方误差(MSE)的收敛性时，文献常用统计自相关矩阵代替瞬时自相关矩阵以简化分析，由此得出的收敛条件比较粗糙。本程序指出：不相关高斯输入情况下，无需如上简化，可依据高斯阶矩因式分解定理得到确切的MSE收敛条件，相应的失调表式能更准确地预报失调-In the analysis of LMS adaptive filter (LMSAF) the mean square error (MSE) convergence, the literature commonly used statistical correlation matrix instead of the instantaneous correlation matrix to simplify the analysis, it follows that the convergence conditions are relatively rough. This procedure pointed out: not related to the Gaussian input case, no simplification above may be based on the Gaussian moment factoring theorem to the exact order of MSE convergence conditions, the corresponding offset table style to a more accurate prediction of disorder Platform: |
Size: 8192 |
Author:王凤 |
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Description: 分析了维纳滤波器均方误差及滤波性能与阶数和噪声方差之间的关系-Analysis of the Wiener filter and the filter mean square error performance and the order and the relationship between noise variance Platform: |
Size: 1024 |
Author:wang |
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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: 利用Matalab软件分别编写子函数实现数字图像压缩及解压缩处理，并统计分析压缩处理算法所能够实现的压缩比及解压图像和原始图像间的均方根误差。-Functions were written by Matalab software for digital image compression and decompression processing, and statistical analysis of compression algorithms to achieve the compression ratio and decompression images and root mean square error between the original image. Platform: |
Size: 624640 |
Author:zhang |
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Description: 7. 单径瑞利信道中的两发一收STBC：
(1) 分析误码率的理论性能，画出比特信噪比与误码率的关系曲线。
(2) 请设计一种具体的导引辅助的信道估计方法，用Simulink进行仿真，测量BPSK调制时的误码率性能。画出比特信噪比与信道估计均方误差的关系曲线，画出比特信噪比与误码率的关系曲线。
-7 single-path Rayleigh channel of the two rounds of a close STBC: (1) the theoretical analysis of BER performance, draw the signal to noise ratio and bit error rate curve. (2) Please design a specific guide-assisted channel estimation method, the Simulink simulation, BPSK modulation measuring the bit error rate performance. Draw-bit signal to noise ratio and channel estimation mean square error curve, draw-bit signal to noise ratio and bit error rate curve. Platform: |
Size: 195584 |
Author:童俊贺 |
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Description: 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 power spectrum with a lattice filter according to the minimum mean square error(MMSE)criterion．The test re—
sults of simulated observation signal and linear frequency modulation signal indicate this method improves the spectrum
resolution and calculation eficiency，completely meets the requirements of the teleme data processing and analysis、 Platform: |
Size: 152576 |
Author:李丽 |
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Description: 梯度SENSE算法恢复医学核磁共振图像，分析了不同降采因子根均方误差不同。-Gradient SENSE algorithm to restore the medical magnetic resonance images, analysis of the different drop mining factor of the root mean square error. Platform: |
Size: 2048 |
Author:任甜甜 |
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Description: matlab仿真，对卡尔曼滤波器的性能分析，包括均方误差等-matlab simulation, the performance of the Kalman filter analysis, including mean square error, etc. Platform: |
Size: 1024 |
Author:wang |
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Description: In this paper the analysis of the compression process was performed by comparing the compressed signal against the original signal. To do this the most powerful speech analysis and compression techniques such as Linear Predictive Coding (LPC) and Discrete Wavelet Transform (DWT) was implemented using MATLAB. Here nine samples of spoken words are collected from different speakers and are used for implementation. The results obtained from LPC were compared with other compression technique called Discrete Wavelet Transform. Finally the results were evaluated in terms of compressed ratio (CR), Peak signal-to-noise ratio (PSNR) and Normalized root-mean square error (NRMSE).The result shows that DWT performance was better for these samples than the LPC method. Platform: |
Size: 147456 |
Author:Ambika |
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Description: Performace analysis of Minimum Mean Square Error(MMSE), MMSE Successive Interference Cancellation and Maximum Likelihood detection in (2,2) MIMO system using 4 QAM modulation Platform: |
Size: 1024 |
Author:prabhat |
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Description: 定义了一种余弦代价函数,提出了基于该代价函数的盲均衡新算法.该
余弦代价函数可将BPSK、M-PAM、M-QAM信号的不同星座点映射至原点,从而使新算法在对上述常模或非常模信号进行均衡时稳态均方误差均能收敛至零,更重要的是新算法能够在多径衰落环境下实现对上述信号的调制识别.理论分析和仿真结果证明了新算法的优良性能.
-Defines a cosine cost function, this paper puts forward a new blind equalization algorithm based on the cost function. The cosine cost function can be BPSK, M- PAM, M- QAM signal constellation points mapped to different origin, so that the new algorithm based on the norm or very model when the signal is balanced steady state mean square error can converge to zero, the more important is that the new algorithm can be implemented in a multipath fading environment on the signal modulation recognition. Theoretical analysis and simulation results prove the good performance of the new algorithm.
Platform: |
Size: 308224 |
Author: |
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Description: 利用SVM做回归线性测试。对于大盘指数的有效预测可以从整体上观测股市的变化提供强有力的信息，所以对上证指数的预测很有意义。通过对上证指数从1990.12.20-2009.08.19每日的开盘数进行回归分析，最终拟合的结果是：均方误差MSE=2.35705 e-005，平方相关系数 R=99.9195 。SVM的拟合结果还是比较理想的。-Make use of SVM linear regression testing. For the market index can predict the observed changes in the stock market as a whole to provide a strong information, so it makes sense to predict the Shanghai index. Through the Shanghai Composite Index opened daily from 1990.12.20-2009.08.19 number of regression analysis, the results of the final fit are: mean square error MSE = 2.35705 e-005, the square of the correlation coefficient R = 99.9195 . SVM fitting result is quite satisfactory. Platform: |
Size: 2048 |
Author:tony |
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Description: 利用蒙特卡洛仿真算法检验在不同模型下，滤波平均误差、均方根误差的统计结果，得到随机误差，进行滤波分析。-Monte Carlo simulation algorithm testing under different models, statistical results filtered average error, root mean square error, the random error filtering analysis. Platform: |
Size: 7168 |
Author:李一 |
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Description: 用Matlab仿真一个发端4天线，收端6天线的V-BLAST系统.接收端分别使用ZF（迫零），MMSE（最小均方误差），ML（最大似然）和SIC（串行干扰消除）算法，分析比较各个算法下的误比特率。-Matlab simulation of an originator with 4 antennas, antenna receiving end 6 V-BLAST system. Receiving end were using ZF (zero forcing), MMSE (minimum mean square error), ML (maximum likelihood) and SIC (interference cancellation) algorithm, the bit error rate analysis comparing the various algorithms under. Platform: |
Size: 2048 |
Author:yifan li |
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Search - mean square error analysis