psotb-alpha-0.2

经典的神经网络matlab程序。(classical neural networks Matlab procedures.)

lte code fore simulation with matlab

matlaB通信工程书籍配套演示源代码，第五版()

在高斯核函数的程序基础上加入了多项式核函数，构成了混合核函数，该混合核函数综合了两种单核函数的优点。(In the program on the basis of the Gaussian kernel function added polynomial kernel function, constitutes a hybrid kernel, the kernel mixed comprehensive advantages of two single-core functions.)

qpsk2仿真代码 正交相移键控，是一种数字调制方式。(simulation code qpsk2 quadrature phase-shift keying is a digital modulation methods.)

MATLAB操作基础详解 ppt 简洁明了 适合初学者(MATLAB operational basis Detailed ppt Clear and concise for beginners)

这是一个HDB3码型转换的GUI程序，可以实现对任意输入的序列进行AMI hdb3的编码解码的波形输出。(This is a converter of the HDB3 code GUI program can be achieved for any input sequence AMI hdb3 coding and decoding of the waveform output.)

多尺度Retinex算法 matlab格式 含一个文件：MSR.m(Multiscale Retinex algorithm matlab format a file: MSR.m)

Signal subspace identification is a crucial first step in many hyperspectral processing algorithms such as target detection, change detection, classification, and unmixing. The identification of this subspace enables a correct dimensionality reduction, yielding gains in algorithm performance and complexity and in data storage. This paper introduces a new minimum mean square error-based approach to infer the signal subspace in hyperspectral imagery. The method, which is termed hyperspectral signal identification by minimum error, is eigen decomposition based, unsupervised, and fully automatic (i.e., it does not depend on any tuning parameters). It first estimates the signal and noise correlation matrices and then selects the subset of eigenvalues that best represents the signal subspace in the least squared error sense. State-of-the-art performance of the proposed method is illustrated by using simulated and real hyperspectral images.

Motion estimation 4ss algorithm