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fsedemo
- The file fsedemo.m is Matlab code intended as demonstration software for minimum MSE FSE design calculations. From:http://bard.ece.cornell.edu/
MATLAB_mse
- 本文采用最小平方误差准则(MSE准则)通过训练样本集建立线性判别函数，并用线性判别函数去判断测试集。 数据集报告： 1、男女生 2、sona 3、ups-In this paper, the least square error criterion (MSE criterion) the training sample set by a linear discriminant function, and a linear discriminant function to dete
MSE
- mse算法的matlab仿真程序，包含LS_MSE_calc.m，MMSE_MSE_calc.m，SER_compare.m 文件-mse algorithm matlab simulation program, including LS_MSE_calc.m, MMSE_MSE_calc.m, SER_compare.m file
mse
- this compress program can be extracted to a text file that can be copied to mse.m. a matlab program that calculate the mean square eeror for video in the format of yuv such as the test sequence
buscaRed.m
- This code will find the best neural network by training a lot of times and calculating the MSE
codes
- 1: MSE.m : to perform Mean Square Error between 2 images 2: most.m : to get the most redundant value in a matrix 3: getneighbors.m : to get circular neighbors of pixel 4: ColorSpaceConversion.m : convert an image into different color spaces and
Wavelet-Decomposition-For-Images
- main executing reference usage: observeWaveletDecompositionBenchmark_N_levels.m The objective is to illustrate wavelet decomposition, and to describe how operations may be done in the wavelet domain before the reconstruction. The demo decouples
work
- 该程序可以绘出杨大成《移动传播环境》的7.2.1.1小节的等距离法实现经典功率谱密度，自相关函数，以及自相关函数均方差。文件中含m文件以及绘出的jpg文件。-The program can draw POSTS " mobile communication environment" section of the equidistance method 7.2.1.1 achieve the classic power spectral density, autocorrelat
mse
- 伪随机序列---m序列（function)- pseudo-random sequence--- M sequence
Wireless-Compressive-Sensing
- 在对能量收集传感网中的压缩感知技术的学习研究过程中，探讨了满足RIP下，所需的测量数m；允许MSE下，可实现的系统延迟；利用LDT，分析SNR不均匀性对k限制特征值的影响。-For energy harvesting sensor networks in the compressed sensing technology learning research, discusses meet the RIP, the required number of measurements m allow
efbc08dd5d5e
- 1、LorenzData.mat - Lorenz 离散序列的数据文件，5000个点，内有变量：x,y,z 2、Volterra_main_luzhenbo.m - Volterra自适应预测主文件 3、Volterra_train.m - Volterra自适应预测训练部分 4、Volterra_test.m - Volterra自适应预测测试部分 5、PhaSpaRecon.m -混沌序列的相空间重构 6、TrainTestSample.m -相空间中点的轨迹分解成：训练样本与测试