搜索资源列表
well_logging_process
- 该软件是我读硕士的时候写的，它可以对测井曲线进行直方图、小波变换，曲线拉伸、均值绿波、中值滤波、Kalman滤波以及插值等等操作，程序里还包含了神经网络的内容，非常丰富，是您学习VC++编程和数据处理的好资料！绝对超值！ 请先阅读文件夹下的read me 文件-I read the time to write a master's degree, it can log on for histogram, wavelet transform, Tensile curves, t
BPSK_OVER_AWGN_CHANNEL
- Generate the digital AWGN signal n[k] (sampled n(t)) by generating zero mean Gaussian random variables independently (separately) for each k MATLAB function random.
IrisFx
- IrisFx is another forex robot from the guys over at FX-Emit with a 200 gain from the beginning of December 2010 till now. Problem is their track record nor trading priledges have been verified on myfxbook so these results mean absolutely nothing to m
permeability-variation-coefficient
- 用于油藏数值模拟中的非均值场，即可以改变渗透率变异系数，渗透率级差，可用于eclipse、VIP、cmg中皆可使用，本程序的例子是共有7个层，所以输入数据有7个层的原始渗透率场。-Reservoir simulation for the non-mean field, that can change the permeability coefficient of variation, differential permeability, can be used in eclipse, VIP,
muchyears
- 解决多年多地点农林类专业的大量数据的例如方差及均值等数据分析-Solve the multi-year multi-site specialty agriculture, forestry, large amounts of data such as variance and mean, such as data analysis
lms
- Least mean square algorithm for image segmentation
cirpath
- simulate a CIR square=root mean-reverting path
LMSAdptiveFilter
- 采用最小均方准则误差的自适应滤波器，根据输入信号的统计特性自动调整其结构参数，以满足某种最佳准则的要求。-Guidelines for use of minimum mean-square error of the adaptive filter, according to statistical characteristics of the input signal automatically adjusting its structural parameters, in order to m
Perceptual
- this the matlab code to find the perceptual shape and this has been implemented sucessfully . and this has been checked using the perfomance evaluation, root mean square, psnr-this is the matlab code to find the perceptual shape and this has been i
myproject2
- 仿真衰落信道中的Rayleigh衰落,给出均方值为1时的概率密度函数和累积积分函数,在MATLAB2009A下运行通过-Simulation of Rayleigh Fading Channels decline, given the mean square value of 1 when the probability density function and cumulative integral function in the MATLAB2009A run through the
prsystem
- This system is a mean of medical communication among patients and the hospital medical teams, by which they will be able to share patient medical history, take appointments that match the doctor’s schedule.
MIMO_detection
- 多天线系统的各种信号检测算法包括迫零，最小均方误差，最大似然，改进的最大似然等-A variety of multi-antenna systems signal detection algorithm, including zero-forcing, minimum mean square error, maximum likelihood, the improved maximum likelihood, etc.
elevationmeasurementcommonlyusedsoftware
- 高程测量常用软件，前方交会，均值和中误差，求坐标方位角，三角高程测量，视距测量，单导线计算，构建Delaunay的三角网-Front of the intersection, the mean and the error in order to coordinate , elevation measurement commonly used software，azimuth, trigonometric leveling, sight distance measurements, single-
adrotator
- Ad Rotator, I think you know what I mean )-Ad Rotator, I think you know what I mean )
simple_mvo
- 均值优化, LuminousLogic, Simple Mean-Variance Optimizer-Simple Mean-Variance Optimizer
vol
- matlab金融时间序列ARMA建模 结果分析： 1.预测结果从第四步开始，预测值不再改变，因为ARMA是收敛的回归模型，而我们做的工作并不是模拟，所以，当预测步长足够长时，它最终将收敛于一个不变得预测值 2.既然预测值一样，为什么还原为成交量后，在置信区间下预测的最大值与预测均值的差比预测均值与最小值的差要大？因为将对数差分值还原时，需用到的指数函数为凹函数-matlab Financial Time Series the the ARMA modeling results Ana
New-folder
- Brain Tumor Segmentation Calculation in Brain MR Images using K-Mean Clustering and Fuzzy C-Mean Algorithm
rsm3
- 响应面法计算结构的可靠度.已知极限状态方程，变量服从对数正态分布，变量均值和标准差已知。-Response surface methodology to calculate the reliability of structures known to limit state equation, variables lognormal distribution, the mean and the standard deviation is known variables.
SVM_matlab
- 利用SVM做回归线性测试。对于大盘指数的有效预测可以从整体上观测股市的变化提供强有力的信息，所以对上证指数的预测很有意义。通过对上证指数从1990.12.20-2009.08.19每日的开盘数进行回归分析，最终拟合的结果是：均方误差MSE=2.35705 e-005，平方相关系数 R=99.9195 。SVM的拟合结果还是比较理想的。-Make use of SVM linear regression testing. For the market index can predict the o
poisson_nlmeans
- An extension of the non local (NL) means is proposed for images damaged by Poisson noise. The proposed method is guided by the noisy image and a pre-filtered image and is adapted to the statistics of Poisson noise. The influence of both images ca