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2D-LAD demensionality reduction matlab

图像傅里叶变换，matlab模拟透镜成像过程，可看到频域信息(fft2 optical imaging progress)

fin and bar heat transfer codes FV and FD

设计一维纳滤波器。 （1）产生三组观测数据，首先根据s(n)=as(n-1)+w(n)产生信号s(n)，将其加噪(信噪比分别为20dB，10dB，6dB)，得到观测数据x1(n)，x2(n)，x3(n)。 （2）估计xi(n)，i=1,2,3的AR模型参数。假设信号长度为L，AR模型阶数为N，分析实验结果，并讨论改变L，N对实验结果的影响。 (Design a Wiener filter. (1) generate three sets of observations data, first according to s (n) = as (n-1)+w (n) to generate a signal s (n), which add noise (SNR respectively 20dB, 10dB, 6dB), obtained observation data x1 (n), x2 (n), x3 (n). (2) estimate xi (n), i = AR model parameters 1,2,3. Assuming the signal length L, AR model of order N, analysis of experimental results and discuss changes affect L, N of the experimental results.)

近红外光谱分析中的BP模型建立过程，其中在原有BP神经网络模型的基础上自己编程加入了近红外模型验证系数的计算，如R-SquareC.R-SquareP,RMSEC,RMSEP,RSD等。并加入循环语句，设定区间程序可以自动运行并判断最佳隐含层结点数，最佳学习速率，动量因子，训练次数等，同时加入一个验证校正模型实例。(The process of BP model in near infrared spectrum analysis, including the original BP neural network model on the basis of their programming joined the nir model validation coefficient calculation, such as R- SquareC. R- SquareP, RMSEC, RMSEP, RSD, etc. And join the loop statement, set interval program can be run automatically and determine the best hidden layer nodes, the optimal learning rate, momentum factor, the number of training, etc. )

Pan-sharpening, fusion of panchromatic and multispectral image to produce sharpened multispectral image.

增广递增的最小二乘法，用于辨识，其中噪声信号使用的是M序列。(Augmented incremental least squares method, for identification, which the noise signal using the M sequence.)

a technique for filtering signals. it is a m.file

matlab 程序，计算刹车距离,代码详细，有适当的注释(matlab )

最小二乘算法的实例，适合于初学者下载，附有详细注释(Examples of least-squares algorithm, suitable for beginners download, with detailed notes)