搜索资源列表
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
LMS
- 最小均方差（LMS）滤波器时延估计算法的Matlab实现-Matlab achieve minimum mean square (LMS) filter delay estimation algorithm
eg-fft
- fft1．用Matlab产生正弦波,矩形波,以及白噪声信号，并显示各自时域波形图 2．进行FFT变换，显示各自频谱图，其中采样率，频率、数据长度自选 3．做出上述三种信号的均方根图谱,功率图谱,以及对数均方根图谱 4．用IFFT傅立叶反变换恢复信号，并显示恢复的正弦信号时域波形图-fft1. Using Matlab generated sine wave, rectangular wave, as well as the white noise signal, and displa
PSO_base_RBF
- PSO的RBFNN优化程序 算法步骤 1.样本数据归一化处理，即将输入输出归一化到[-1,1]区间； 2.确定RBF网络的中心和宽度； 3.以拟合误差的均方根作为性能指标，使用PSO算法优化RBF网络输出层到隐层的连接权值矩阵-PSO-RBFNN algorithm optimization procedures Step 1. Sample data normalization treatment, about input and output normalized to [-
dsp.least.mean.square.algorithm
- 数字信号处理自适应数字滤波器最小均方算法的结构与运算-DSP least mean square 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
PerformanceAnalysisoftheDeficientLengthLMSAdaptiv
- In almost all analyzes of the least mean-square (LMS) finite impulse response (FIR) adaptive algorithm, it is assumed that the length of the adaptive filter is equal to that of the unknown system impulse response. However, in many practical sit
TrackingofTimeVaryingChannelsUsingTwoStepLMSTypeA
- This paper presents a modified version of the twostep least-mean-square (LMS)-type adaptive algorithm motivated by the work of Gazor. We describe the nonstationary adaptation characteristics of this modified two-step LMS (MG-LMS) algorithm fo
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
Probability--Random-Variables-and-Stochastic-Proc
- mean square estimation, entropy, spectral estimation
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
matrix_LMS_noise
- this program tells about the least mean square filter and its performance in minimizing the noise.
uniform_quantizer
- This m-file applies uniform quantization on audio signal and produced the Mean Square Quantization Error