Image_Measure

说明：  神经算法有着万能算法之称，可以用于解决多种问题，如预测、评价类问题。(Neural algorithm has a universal algorithm is known, can be used to solve a variety of issues, such as forecasting, evaluation of issues.)

这是关于RADRA仿真的.有如下代码placeClutter.m, plotDistLines.m, plotFOV.m, radarSimulation.m, runRadarSim.m, targetsReturn.m, radarSimulation.fig, analyzBuffer.m, buildAntenaGain.m, createTargets.m, displayTargets.m, handleRadarControlls.m, MTIcalcTargetsV.m(RADRA simulation. PlaceClutter.m following code, plotDistLines.m, plotFOV.m. radarSimulation.m, runRadarSim.m. targetsReturn.m, radarSimulation.fig. analyzBuffer.m, buildAntenaGain.m. createTargets.m, displayTargets.m. handleRadarControlls.m, MTIcalcTargetsV.m)

demodulate_sig 解调 generate_noise 叠加高斯噪声 insert_value 插值 modulate_to_high 调制到载波 pick_sig 采样 plot_2way 绘制正交信号图 plot_astrology 绘制星座图 plot_snr 绘制误码率曲线图 project 主函数 Qam_modulation QAM调制函数 rise_cos 升余弦滤波 stem_2way 绘制滤波后的信号图 (qam matlab simulation)

含有半波振子的3维FDTD 程序, matlab程序(3-dimensional FDTD program, matlab program contains a half-wave dipole)

一种变步长的lms算法实现，用MATLAB编写。(A variable step size lms algorithm, using MATLAB write.)

时间序列分析，采用了最小二乘（LS）与自回归(AR)的组合模型，并用MATLAB将其实现(Time series analysis, using a least-squares (LS) and autoregressive (AR) model combination and its implementation using MATLAB)

dds信号发生器，matlab7.0，dspbuilder7.0(dds signal generator, matlab7.0, dspbuilder7.0)

本实验主要是学会利用matlab软件，在用编程语言实现单样本均值和方差的区间估计的过程中，调用matlab工具中的数学函数来完成计算功能，并绘制出样本均值概率分布图和样本方差分布图。(This experiment is to learn to use matlab software, a programming language to achieve a single sample interval estimation of the mean and variance of the process, call matlab tool to calculate mathematical functions to perform the function, and draw out the probability distribution of the sample mean and sample variance distribution Figure.)

如何使用MATPOWER,方便易懂,值得学习(How to use the MATPOWER, easy to understand, it is worth learning)

An example that illustrates the importance of shift-invariance is image denoising by thresholding where the lack of shift-invariance causes pseudo-Gibbs phenomena around singularities.In addition to shift-invariance, it has been recognized that an efficient image representation has to account for the geometrical structure pervasive in natural scenes. In this direction, several representation schemes have recently been proposed