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matlablms
- 基于最小均方误差算法的自适应滤波器在仿真源程序-based on the minimum mean square error of the adaptive filter algorithm for the simulation source
MMSE_BLE.rar
- 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
zishiying
- 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 ca
BaseAutopanoramareserch
- 别对两幅图像提取广义特征点后， 利用基于根均方误差和交叉相关的两级匹配算法完成同名控制点的建立。并以局部加权直线拟合方法来校正图像 的几何畸变。最后建立两幅图像之间的函数映射关系，完成图像的配准。实验结果证明了该方法的有效性。-Do the two images extracted generalized characteristic point, the root mean square error-based and cross-correlation of the two cont
SC_FDE_system_frequency-domain-equalization-algori
- 。本文研究了SC-FDE系统中的最小均方误差判决反馈 均衡（MMSE-DFE）和基于LMS准则的自适应均衡算法， MATLAB仿真表明，由于LMS自适应均衡算法能有效的跟 踪信道变化并更新均衡器的抽头系数，其性能略优于最小 均方误差判决反馈均衡算法。-. In this paper, the SC-FDE system, the minimum mean square error decision feedback Equalization (MMSE-DFE) and
UnsupervisedAnomalyDetectionBasedOnPrincipalCompon
- 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
ijacspv24n6
- This contribution considers semi-blind adaptive equalization for communication systems that employ high-throughput quadrature amplitude modulation signalling. A minimum number of training symbols, approximately equal to the dimension of the equal
essai
- Orthogonal Frequency Division Multiplexing (OFDM) systems are more sensitive to timing and frequency offsets than single carrier systems. This Paper presents a method of joint time and frequency synchronization for OFDM systems. The synchroni
estimation
- Orthogonal Frequency Division Multiplexing (OFDM) systems are more sensitive to timing and frequency offsets than single carrier systems. This Paper presents a method of joint time and frequency synchronization for OFDM systems. The synchroni
OFDM_chapter_book
- Orthogonal Frequency Division Multiplexing (OFDM) systems are more sensitive to timing and frequency offsets than single carrier systems. This Paper presents a method of joint time and frequency synchronization for OFDM systems. The synchroni
1
- 计算均方误差MSE信噪比SNR峰值信噪比PSNR绝对平均误差的matlab函数-Calculate the mean square error MSE, SNR is the peak signal to noise ratio PSNR absolute average error of Matlab functions
New-Folder-(4)
- 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 Dis
BPSK_MUSIC_2D_3t
- 对2维doa进行估计，在不同的快拍数情况下，BPSK信号的经典MUSIC估计比单频信号的经典MUSIC估计方法均方根误差性能更好-On 2 d to estimate doa. In different fast take several cases, BPSK signal of classical MUSIC estimate than single frequency signal of the classical MUSIC estimation method root mean squ
dtmf
- 基于最小均方误差的语音增强技术的研究与应用-To enhance the research and application of technology based on the minimum mean square error voice
sv-memo
- Support Vector Machines Training and Applications-The Support Vector Machine SVM is a new and very promising classication technique developed by Vapnik and his group at ATT Bell Laboratories This new learning algorithm can
CHAOGAOSI
- 研究表明超高斯分布更加贴近语音信号的实际分布，然而语音信号很难用单一的概率密度 函数准确描述，针对这一情况，提出了一种用超高斯混合模型对语音信号幅度谱建模的新方法，并推导了 基于此模型的幅度谱最小均方误差估的估计式。仿真结果表明：与传统的短时谱估计算法相比，该算法不 仅能够进一步提高增强语音的信噪比，而且可以有效减小增强语音的失真度，提高增强语音的主观感知 质量。 -Recent research indicates that the speech spectral ampli
PF-RMSE
- PF-RMSE 单变量非静态增长模型（UNGM模型）粒子滤波算法下，均方根误差分析仿真-Under PF-RMSE univariate non-static growth model (UNGM model) particle filter, root mean square error analysis and simulation
LS_MSE_calc
- calcultes the Least squqres and the minimum mean square error
8-optimal_in_FRFTdomains
- time-invariant degradation models and stationary signals and noise, the classical Fourier domain Wiener filter, which can be implemented in O(N logN) time, gives the minimum mean-square-error estimate of the original undistorted signal. For t
MASSIVE-MIMO
- 本论文根据最小均方根误差准则（MMSE）,提出一种非正交设计导频的方法，这种方法在MASSIVE MIMO中非常有效。-In this letter, the error variance of the Minimal Mean-Square Error (MMSE) channel estimator is analyzed, and its analytic formula is given. Based on the analytic formula, a designing