搜索资源列表
phase_detrending
- 相位对准技术，用多正弦波进行相位的校准，给出了最小均方误差的仿真图形-phase_detrending
AdaptiveequalizerofLMSalgorithmanditssimulation.ra
- 自适应均衡器的LMS算法实现及其仿真 :自适应均衡器已广泛应用于通信、雷达、声纳、控制和生物医学工程等许多领域,为克服多径衰落和信道失真 引起的码间干扰,实时跟踪移动通信信道的时变特性,笔者设计了一个基于LMS 算法的自适应线性均衡器,并通过改变步 长因子Δ来分析其收敛速度和均方误差特性.-Adaptive equalizer of LMS algorithm and its simulation
MATLAB_Programming_LMS_Adaptive_Equalizer
- 一个MATLAB程序，用以实现基于最小均方误差算法的自适应均衡器，通常可以直接应用在数字通信系统中-A MATLAB program used to implement an LMS adaptive equalizer which can be directly applied in the digital communication systems
tt
- 软阈值去噪，能很好的计算出信噪比和均方误差-softhreshoding denoising ，can figure out signal to noise and mean square error
SNR_and_MSE
- mmse与snr的算法仿真，最小均方误差和最大信噪比，获得自适应算法的最优权，实现抗干扰-mmse snr algorithm and simulation, the minimum mean square error and maximum signal to noise ratio, the right of access to optimal adaptive algorithm to achieve anti-jamming
LMS
- lms算法极为最小均方误差算法， 是均衡器消除码间串扰一种算法；-lms algorithm
chennl
- 最全的信道估计仿真，包括最小二乘法，最小均方误差法，变换域法。-The most complete simulation of channel estimation, including least squares, minimum mean square error method, transform domain methods.
MATLAB
- 本程序用以仿真块状导频时不同信噪比条件下的误码率和均方误差，信道估计采用最小二乘法和改进的最小二乘法。 -The pilot program for the simulation block different SNR when the bit error rate and mean square error channel estimation using the least square method and the improved least square method.
lms
- 本程序可用于实现最小均方误差算法-LMS algorithm
OFDM_apfft
- 在ofdm系统中应用apfft算法的最大似然信道估计器 均方误差和误码率均有所下降-ofdm apfft
BP
- 神经网络的计算，包括训练和测试两部分，利用的是最小均方误差算法。-Nerual network calculation,including training and working part,utilizing MMSE algorithm.
LMS-RLSAdaptiveFilter
- 数字信号处理，LMS和RLS实例：给定正弦信号s(n)，现在我们获得得是受影响的数据x(n)=s(n)+v(n) ， v(n)为方差1.25的告示白噪声信号，请设计一个滤波器，使其输出与s(n)的均方误差最小，并给出用LMS和RLS算法的自适应求解方法的MATLAB仿真。-Digital signal processing, LMS and RLS instance: Given a sinusoidal signal s (n), now we get the data have affect
image
- 利用图像处理工具箱实现均方误差（MSE）、峰值信噪比（PSNR）和熵的源代码-By image processing toolbox to achieve the mean square error (MSE), peak signal to noise ratio (PSNR) and the entropy of the source code
pinpuguji
- 信号频率估计均方误差图，以克拉美洛界（CRB）界做对比分析MATLAB实用程序(Signal Frequency Estimation Mean Square Error Graph to Combine the Kramer (CRB) Sector to Make a Comparative Analysis MATLAB Utility)
OMLSA
- 这是目前传统单通道语音增强中效果最好的算法，作者Iseal Cohen大神,采用基于最小均方误差MMSE准则，代码里，噪声估计由最初的MCRA更新为效果更好的IMCRA。(This is the most effective algorithm for traditional single channel speech enhancement. The author, Iseal Cohen great God, uses the minimum mean square error MMSE c
parkmean
- Park均方误差程序说明，做定时同步和载波同步的误差算法。(Park mean square error procedures that do timing synchronization and carrier synchronization error algorithm.)
LMS_estimation
- MATLAB对带噪声的信号进行最小均方误差估计，得到去噪声的信号。(MATLAB is used to estimate the minimum mean square error of the signal with noise, and the noise is obtained.)
SS
- 加权质心定位算法（zhixin.m）、最小均方误差的二维定位算法（LSM2.m）、最小均方误差的三维定位算法(LSM3.m)、最小二乘/极大似然用于目标跟踪(MLS1.m)、最小二乘/极大似然用于纯方位目标跟踪(MLS2.m)(Weighted centroid positioning algorithm)
DOA_GUI
- 实现2d-DOA 算法的仿真，实验结果以均方误差的形式绘制图表(The simulation of 2d-DOA algorithm is implemented, and the experimental results are plotted in the form of mean square error)
均方误差MSE和峰值信噪比PSNR
- 利用MATLAB语言对图像进行处理，计算其均方误差MSE和峰值信噪比PSNR。