搜索资源列表
matlab
- 计算方法：函数平方逼近多项式的均方误差计算-Calculation method: function square mean square error of approximation calculation of polynomial
junheng
- 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
CP1002
- 根据测距误差和参考节点数量，计算最小均方误差的精度。-Ranging error and the reference according to the number of nodes, calculate the minimum mean square error of accuracy.
bpsk
- 层空时码有三种普遍的检测算法：最大似然（Maximum Likelihood ,ML）检测算法、迫零（zero forcing ,ZF）检测算法、最小均方误差（Minimum Mean Squared Error,MMSE）检测算法。-There are three layers in general space-time code detection algorithms: maximum likelihood (Maximum Likelihood, ML) detection algori
code3
- 计算彩色图像的熵，均方误差,根据熵的技术公式，对彩色图像分RGB进行统计计算-compute the entropy and rmse of rgb image
mylma
- 一种最简本的基于最小均方误差的自适应算法-One of the most simple minimum mean square error of the adaptive algorithm
lmse
- lmse计算,最小均方误差计算，用搜索法找出两幅图像见最小均方误差-lmse caculation
zishiyingjiangzao
- 这里介绍了一种基于自适应滤波的噪声抵消法，采用归一化最小均方误差算法，采集实际噪声环境下各种不同信噪比的带噪语音样本进行降噪处理，实验结果表明，处理后信号的信噪比得到了较大程度的提高，大大改善了听音效果，具有很高的可懂度，且语音自然度好，没有失真；并与谱减法进行了比较，自适应噪声抵消法的降噪幅度比谱减法有一定提高，在听音效果上，用自适应噪声抵消法处理后的语音在清晰度，自然度方面优于谱减法。-Here a novel adaptive noise cancellation method using
LMS
- 数字波束形成算法 lms 最小均方误差 非常好-DBF digital beamforming least square LMS
pingjia
- 图像质量评价，包括图像均方误差、信噪比比较等-Image quality evaluation, including images mean square error, signal to noise ratio comparison
fir_pipeline_lms
- verilog语言编写LMS（最小均方误差）自适应滤波器。-verilog language LMS (least mean square error) adaptive filter.
fir_lms
- verilog语言编写LMS（最小均方误差）自适应滤波器。-verilog language LMS (least mean square error) adaptive filter.
optimal-WPMT-based-on-MSE
- 基于最小均方误差准则的小波包树结构的选择 仿真程序-Based on minimum mean square error criterion selection of wavelet packet tree structure simulation program
jpeg-compress-code-
- 依据JPEG压缩标准的算法，对lena图像进行压缩，并恢复出原始图像，然后对照原始图像，对恢复出的图像进行客观评价：计算峰值信噪比PSNR及均方误差MSE。-language matlab jpeg picture compress
LMS_8-model
- 利用MATLAB实现LMS算法，将输入信号和输出信号进行对比，并给出了均方误差曲线。-LMS algorithm using MATLAB implementation, the input signal and output signals are compared, and gives the mean square error curve.
LMS_0
- lms即最小均方误差算法，此次上传的是lms算法的matlab文件-lms that minimum mean square error algorithm, the uploaded file is lms algorithm matlab
MSE_compare
- 仿真比较OFDM系统LS和MMSE信道估计算法的均方误差。-OFDM system simulation comparing LS and MMSE channel estimation algorithm for the mean square error.
LMS_equalizer
- 自适应均衡中LMS算法的仿真程序，输出曲线与均方误差曲线-Adaptive equalization in the LMS algorithm simulation program, the output curve and the mean square error curve
RLS_equalizer
- 自适应均衡算法中的RLS算法，，均方误差曲线和系统输出曲线-Adaptive equalization algorithm in the RLS algorithm, the mean square error curve and the curve of the system output
LinearPredictor
- 一个线性预测的matlab仿真程序，先用模型生成原始信号(平稳随机过程)，然后利用最小均方误差准则计算出预测系数，最后利用预测系数对原始信号进行预测(利用原始信号过去n个时刻的值预测当前时刻的值)。-This is a matlab program for linear prediction. First, we use all-pole model to generate a signal(stationary signal), then utilize the Minimum Mean-S