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[matlabMatlab

Description: 最大信噪比准则方向图和功率谱; ASC旁瓣相消—MSE准则; 线性约束最小方差(LCMV)准则; 不同方法估计协方差矩阵的Capon波束形成;多点约束的Capon波束形成和方向图-Pattern and the power spectrum of the maximum signal to noise ratio criteria ASC sidelobe cancellation-the MSE criteria Linearly constrained minimum variance (LCMV) criterion Different ways to estimate the covariance matrix of the Capon beamforming Multi-point constraints Capon beamforming and pattern;
Platform: | Size: 26624 | Author: 刘晓 | Hits:

[matlabPSNRaMSE

Description: 计算峰值信噪比PSNR和均方根误差MSE-Calculate the PSNR and MSE
Platform: | Size: 1024 | Author: evelyn | Hits:

[AI-NN-PR10.1.1.11.5905

Description: This paper compares performance of nite impulse response (FIR) adaptive linear equalizers based on the recursive least-squares (RLS) and least mean square(LMS) algorithms in nonstationary uncorrelated scattering wireless channels. Simulation results, in terms of steady-state mean-square estimation error (MSE) and average bit-error rate (BER) metrics, are found for the frequency selective Rayleigh fading wireless channel experienced in a mobile ad hoc network where nodes are lognormally shadowed from each other. For the nonstationary channel models considered, RLS is always found to outperform LMS.
Platform: | Size: 844800 | Author: almoudamer3 | Hits:

[Special Effectscodes2

Description: mse, rmse, error measurements of images
Platform: | Size: 2048 | Author: vamsee | Hits:

[2D Graphicdct

Description: 在编码端,影像首先被分割成8 8块。 DCT的操作,然后 适用于每个图像块。据国际视频标准(JPEG,H.261...), 变换系数四舍五入到最接近的整数,并剪辑成12位( 2048至 2047)。这些系数,然后根据锯齿扫描顺序安排到1-D数据阵列。 然后,选择一些系数和量化。在解码器端,量化系数 反DCT(IDCT)重建。 IDCT的输出调整和裁剪,以0 255。 (我们只有Y信号处理。),DCT,量化和锯齿扫描规格 为了下页。 下面给出3个测试图像上的问题,每个尝试:莉娜(lena.raw)的,辣椒(pepper.raw), 狒狒(baboon.raw)。你需要计算之间原有的均方根误差(MSE) 图像和重建图像。测试图像可以从Web加载。他们是 5128位(每像素),512级灰度(黑白)图像没有任何头。图像 像素存储从左至右,从上到下成一个文件。 (您可以查看图像 使用,例如,Photoshop软件。)-DCT Coding
Platform: | Size: 564224 | Author: cky | Hits:

[matlabRLS

Description: 实现了自适应RLS均衡器的MSE仿真曲线-Adaptive RLS equalizer MSE simulation curve
Platform: | Size: 1024 | Author: 兔宝 | Hits:

[Communication-Mobilefwdmalawmc

Description: Abstract—In this paper, we study the joint estimation of inphase and quadrature-phase (I/Q) imbalance, carrier frequency offset (CFO), and channel response for multiple-input multipleoutput (MIMO) orthogonal frequency division multiplexing (OFDM) systems using training sequences. A new concept called channel residual energy (CRE) is introduced. We show that by minimizing the CRE, we can jointly estimate the I/Q imbalance and CFO without knowing the channel response. The proposed method needs only one OFDM block for training and the training symbols can be arbitrary. Moreover when the training block consists of two repeated sequences, a low complexity two-step approach is proposed to solve the joint estimation problem. Simulation results show that the mean-squared error (MSE) of the proposed method is close to the Cramer-Rao bound (CRB). Index Terms—MIMO OFDM, CFO, I/Q imbalance, channel estimation.
Platform: | Size: 551936 | Author: santhu | Hits:

[Communication-Mobilematlabcodeandbasepaper

Description: Abstract—In this paper, we study the joint estimation of inphase and quadrature-phase (I/Q) imbalance, carrier frequency offset (CFO), and channel response for multiple-input multipleoutput (MIMO) orthogonal frequency division multiplexing (OFDM) systems using training sequences. A new concept called channel residual energy (CRE) is introduced. We show that by minimizing the CRE, we can jointly estimate the I/Q imbalance and CFO without knowing the channel response. The proposed method needs only one OFDM block for training and the training symbols can be arbitrary. Moreover when the training block consists of two repeated sequences, a low complexity two-step approach is proposed to solve the joint estimation problem. Simulation results show that the mean-squared error (MSE) of the proposed method is close to the Cramer-Rao bound (CRB). Index Terms—MIMO OFDM, CFO, I/Q imbalance, channel estimation.
Platform: | Size: 277504 | Author: santhu | Hits:

[matlabmse

Description: 针对数字通信系统中,由于码间串扰(ISI)和信道加性噪声的干扰,导致信号在接收端产生误码,设计了基于LMS算法的自适应均衡器(滤波器)。是一篇标准的毕业论文,有需要的朋友可以拿来做参考-Thesis for digital communications systems, crosstalk due to inter-symbol (ISI) and additive noise channel interference, leading to signals generated in the receiver error, design algorithm based on LMS adaptive equalizer (filter). Is a standard thesis, there is a need to make friends can be used as reference
Platform: | Size: 3072 | Author: 张金锁 | Hits:

[Special Effectsimage-denoising-using-wavelet

Description: 该文件夹包括基于邻阈的小波图像去噪程序。主程序为wave_neighbor.m,实现3*3和5*5邻域去噪;wov_win.m为函数m文件,实现3*3和5*5的滑动窗口;cacupsnr.m为函数m文件,计算mse和psnr等。-This is about image denoising with the method of wavelet.It includes 3×3 and 5×5 neighborhood window.
Platform: | Size: 396288 | Author: wumeng | Hits:

[Communication-Mobilebeam

Description: 波束形成的几种常用准则,SNR,MSE,LCMV准则。信号+干扰+噪声环境。在干扰方向形成零陷。-Several commonly used criteria of beamforming, SNR, MSE, Suppression for LCMV guidelines. Signal+ interference+ noise environments. Formed in the direction of the interference nulling.
Platform: | Size: 1024 | Author: linzm | Hits:

[Special Effectsmse

Description: 求滤波前后两幅图像之间的最小均方误差,用定量的方法来研究图像的去噪效果-Minimum Mean Square
Platform: | Size: 1024 | Author: liub | Hits:

[Special EffectsSIM

Description: 由于PSNR,MSE 对图像质量评价的不准确,结构相似度量-Structural similarity measure
Platform: | Size: 2048 | Author: malu | Hits:

[Special Effectsbounds_toolbox

Description: 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.
Platform: | Size: 1582080 | Author: z | Hits:

[matlabquansousuo

Description: 编写针对一个搜索点宏块比较的下面两个匹配函数:均方误差(MSE)、绝对值误差(MAD)。函数名直接使用简写。要求当前帧和参考帧的数据均采用二维数组表示。-Writing for a search point macroblock compare the following two matching functions: the mean square error (MSE), absolute error (MAD). The function name directly using shorthand. Requirements of the current frame and reference frame data are used two-dimensional array.
Platform: | Size: 95232 | Author: chu | Hits:

[Program docessai

Description: 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 synchronization technique is examined in both AWGN and multipath fading environments. Compared with conventional schemes, the proposed schemes can achieve smaller mean and mean square error (MSE) obtained by simulations.
Platform: | Size: 2048 | Author: monia | Hits:

[Program docestimation

Description: 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 synchronization technique is examined in both AWGN and multipath fading environments. Compared with conventional schemes, the proposed schemes can achieve smaller mean and mean square error (MSE) obtained by simulations.
Platform: | Size: 3072 | Author: monia | Hits:

[Program docOFDM_chapter_book

Description: 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 synchronization technique is examined in both AWGN and multipath fading environments. Compared with conventional schemes, the proposed schemes can achieve smaller mean and mean square error (MSE) obtained by simulations.
Platform: | Size: 2048 | Author: monia | Hits:

[J2MEGUI

Description: 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 synchronization technique is examined in both AWGN and multipath fading environments. Compared with conventional schemes, the proposed schemes can achieve smaller mean and mean square error (MSE) obtained by simulations.
Platform: | Size: 8192 | Author: monia | Hits:

[Software Engineering1

Description: 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
Platform: | Size: 4096 | Author: 新雨 | Hits:
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