搜索资源列表
MMSE-MUD
- 改算法描述了基于最小均方误差的多用户信号检测-MMSE,MUD,CDMA
objective_evaluation
- 图像评价的几个标准，包括峰值信噪比，均方误差，平均绝对误差，图像保真度，信噪比的MATLAB代码，采用基本编程方法，适合初学者加深图像客观评价标准的理解。-Image evaluation of several criteria, including PSNR, MSE, mean absolute error, image fidelity, signal to noise ratio of the MATLAB code, using the basic programming for be
MIMO-OFDM
- 单用户MIMO以及多用户MIMO的检测程序,包括最大似然检测,最小均方误差检测等的matlab实现，以及MIMO_OFDM主要程序-Single-user MIMO and multi-user MIMO testing procedures, including maximum likelihood detection, minimum mean square error detection matlab realize and the main program of MIMO_OFDM
r
- 序列的自相关函数和负相关函数的计算，设计维纳滤波器，写出维纳-霍甫方程，用矩阵方法求解该方程，得到滤波器冲激响应，并计算最小均方误差-Calculation of the autocorrelation function and a negative correlation function of the sequence, the Wiener filter design, write Wiener- Huo Fu equation, using the matrix method to so
dct
- DCT图像压缩算法。1.图象进行归一化 2.显示系数图象 3.重构及显示图象 4.显示误差图象 5.计算归一化图象的均方误差 -DCT image compression algorithm. 1. Images were normalized 2. Shows coefficient image 3. Reconstruction and display of images 4. Show the error images 5. Calculated normalized mean squar
CG_SENSE_Cartesian_2
- 梯度SENSE算法恢复医学核磁共振图像，分析了不同降采因子根均方误差不同。-Gradient SENSE algorithm to restore the medical magnetic resonance images, analysis of the different drop mining factor of the root mean square error.
LMSFilterMatlab
- 此程序可实现基于LMS（最小均方误差算法）的自适应滤波程序-this procedure can be based on the LMS (least-mean-square error algorithm) adaptive filtering process
MDIFractal
- 第1章 分形 1.1 分形的定义 1.2 分维 第2章 迭代函数系统 2.1 压缩映射 2.2 迭代函数系统(IFS) 2.3 拼贴定理 第3章 一般图像的分形压缩方法 3.1 图像的表示方法与图像的均方误差 3.2 分形压缩的简化方法 3.3 压缩实例 3.4 问题与改进方向 -Chapter 1 Fractal 1.1 Fractal Fractal Dimension 1.2 definitions in Ch
Mmse84
- 利用Y.Ephraim提出的短时谱幅值最小均方误差法估算的语音增强法，附有相应程序和文献。-Y. Ephraim proposed the use of short-term amplitude spectrum MMSE Speech Enhancement Estimating law, with the corresponding procedures and documentation.
Mmse85
- 利用Y.Ephraim提出的对数谱幅值最小均方误差法估算的语音增强法，附有相应程序和文献。-Y. Ephraim proposed use of spectrum amplitude MMSE Speech Enhancement Estimating law, with the corresponding procedures and documentation.
LMS
- 最小均方误差自适应算法，简称LMS算法.LMS算法自适应实现 -MMSE adaptive algorithm, or LMS algorithm. LMS adaptive algorithm to achieve
DS-CDMA
- 设计DS-CDMA一种具体的码分导引辅助的信道估计方法，接收机分别采用等均益合并、最大比合并。用Simulink进行仿真，测量BPSK的误码率性能，画出比特信噪比与信道估计均方误差的关系曲线，画出比特信噪比与误码率的关系曲线-Design of DS-CDMA code at a specific guide-assisted channel estimation method, the receiver, respectively, the combined use of all benefi
wienerfilter
- 通过计算机MATLAB仿真分析和研究了维纳滤波器的阶数、信号的噪声方差、随机信号的采样点数、经过维纳滤波的均方误差之间的关系-MATLAB simulation by computer analysis and research of Wiener filter order, the signal of the noise variance, random signal sampling points, after Wiener filter mean square error of the r
matlabsignal
- 在DS-spread spectrum系统中,噪声为加性高斯白噪声,传统单用户检测,线性解相关多用户检测和最小均方误差多用户检测的性能比较-In the DS-SPREAD specturm, noise is always white Gauss noise.
MUD
- DS-spread spectrum系统中,噪声为加性高斯白噪声,传统单用户检测,线性解相关多用户检测和最小均方误差多用户检测的性能比较-DS-spread spectrum system, the noise is additive white Gaussian noise, the traditional single-user detection, the linear decorrelating multiuser detection and MMSE Multiuser Detecti
mud
- 注意：刚上传的不完整，以这个为准 （在DS-spread spectrum系统中,噪声为加性高斯白噪声,传统单用户检测,线性解相关多用户检测和最小均方误差多用户检测的性能比较）-In DS-spread spectrum system, the noise is additive white Gaussian noise, the traditional single-user detection, the linear decorrelating multiuser detection and
LMS
- LMS算法实现自适应滤波 clear close all clc N=10000 设置仿真长度 信号产生参数设定 a1=-0.195 a1=-1.5955 a2=0.95 R0=[1,a1,a2 a1,1+a2,0 a2,a1,1] p=[1,0,0] r=inv(R0)*p 计算理论自相关函数 R=[r(1),r(2) r(2),r(1)] 生成理论自相关矩阵 p1=[r(2),r(3)] 生成互相关 h=inv(R)
IMageQualityEvaluatingFunction
- 两个图像质量评价函数，psnr峰值信噪比，正则均方误差nmse，能可用于去噪图像和压缩图像的质量评价，很有用啊。-Two image quality evaluation of the function. Including psnr PSNR, it is mean-square error nmse other. Images can be used for de-noising and compression of image quality evaluation.
MUD
- 比较传统单用户检测、线性解相关多用户检测、最小均方误差多用户检测的误码率函数MUD.m-mud.m