搜索资源列表
MSE
- 多径信道下的OFDM仿真系统,包括编码,映射,交织,调制。信道估计采用判决反馈方法。
NLMS
- 若不希望用与估计输入信号矢量有关的相关矩阵来加快LMS算法的收敛速度,那么可用变步长方法来缩短其自适应收敛过程,其中一个主要的方法是归一化LMS算法(NLMS算法),变步长 的更新公式可写成 W(n+1)=w(n)+ e(n)x(n) =w(n)+ (3.1) 式中, = e(n)x(n)表示滤波权矢量迭代更新的调整量。为了达到快速收敛的目的,必须合适的选择变步长 的值,一个可能策略是尽可能多地减少瞬时平方误差,即用瞬时平方误差作为均方误差的MSE简单估计,这也是LMS算法的基本思想
Adaptiveequalizer
- 在信道均衡运用中,将发送的受信道失真影响的原始信号作为自适应滤波器的输入信号,可期望信号是原始信号的时延形式,如图22(a)所示。通常情况下,输入信号的时延形式在接收端是可以得到的,采用形式是标准的训练信号。当MSE达到最小时,就表明自适应滤波器代表了信道的逆模型(均衡器)。
mse
- 采用Matlab编写的最小二乘法,实现对两类的正确分类
fsedemo
- The file fsedemo.m is Matlab code intended as demonstration software for minimum MSE FSE design calculations. From:http://bard.ece.cornell.edu/
image quality assessment
- 可用于计算二维图像的均方误差、峰值信噪比以及信息熵
farrow filter
- A design method was introd uced to efficiently implement an interpolator by Farrow structure,which can be used in an all—digital timing recovery scheme.An algorithm was presented to calculate the interpolator coefficients of Farrow structure and min
LMS algorithm for adaptive filtering and adaptive equalization applications
- 利用LMS做自适应滤波,利用MSE算法做自适应均衡
vlfeat-0.9.14-src计算机视觉库
- 包含目前流行的SIFT,MSE等算法的Matlab及C实现。
RMSE
- 通过matlab编写的几个关于PSNR、mse的图像处理的小程序,希望能对大家有所帮助。-root-mean-square error
bounds_toolbox
- boundstoobox for evalution denoised image. This toolkit contains the main Matlab function and other required functions to estimate the bound on the MSE that can be expected in denoising a given image.
mathworks
- 基于最小二乘法和最小均方误差法的信道估计,包括详细的仿真结果,如误码率和均方误差。-Based on the least squares and minimum mean square error of channel estimation methods, including detailed simulation results, such as error rate and MSE.
image_fusion_proforma_evalu_quality
- 这是从网上整理出来的图像融合评价标准,总共有13项性能指标。包括平均梯度,边缘强度,信息熵,灰度均值,标准差(均方差MSE),均方根误差,峰值信噪比(psnr),空间频率(sf),图像清晰度,互信息(mi),结构相似性(ssim),交叉熵(cross entropy),相对标准差。大家一起交流吧~-This is sorted out from the online image fusion evaluation criteria, there are a total of 13 perform
kmetasearch
- 元搜索引擎代码,非常有用,实现多个源的结果分页输出-Meta search engine code, very useful, the results of multiple source paging output
speechQuality
- 语音质量评价的matlab ,好用
13106126MSE[2]
- 谈软件开发的生命周期选择,作为一次软件工程作业,简要地分析并总结出生命周期选择-On the software development life cycle of selection, as a software engineering homework, briefly analyzed and summed up the life cycle of selection
trackingoftimevaryingmobileradiochannelspartII.ra
- A case study on D-AMPS 1900 channels. An exact analytical expression for the tracking MSE on two-tap FIR channels is presented and utilized.