MATLAB

libsvm工具箱matlab的神经网络工具箱实用指南Matlab_BP.rar(libsvm toolbox)

利用MATLAB仿真神经元的动作电位及各种电参数的变化，离子通道电导变化等(HH cells using Matlab simulation model of changes in all parameters and dynamics of Action Potential generation process)

I THINK THAT ALL WHAT I WANT IS THIS

逐行读取文本中的数据，自动存储到一个序列数组中(Text data read line by line, is automatically stored into an array sequence)

Path-based HDR algorithm

根据三次B样条公式，算出样条曲线，并取样，把三维坐标写进txt，再用matlab绘制三维三次B样条曲线(According to the cubic B-spline formula, calculate the spline curve, and sample, the three-dimensional coordinates into the txt, and then draw three-dimensional cubic B-spline curve)

matlab中的Zig_Zag扫描程序，需要的朋友可以看看。。。。(matlab in Zig_Zag scanning procedures, the needs of our friends can see. . . .)

matlab教案中使用到的源代码，全部源代码。很全的，包括边缘检测，去噪，二值化等等。适合图像处理的初学者参考。(matlab tutorial all the source code. Very wide, including edge detection, noise removal, binarization and so forth. Beginners reference for image processing.)

generating time varying channel for jakes or flat fading.

说明：  主成分分析（PCA）的增量实施。 该算法在线更新每个变换系数矩阵新样本，而无需将所有样本保留在内存中。 在某种意义上，该算法在形式上等效于通常的批处理版本给定一个样本，将变换系数设置在末尾过程是相同的。 实时讨论了应用PCA的意义。(Incremental implementation of the principal component analysis (PCA). The algorithm updates the transformation coefficients matrix on-line for each new sample, without the need to keep all the samples in memory. The algorithm is formally equivalent to the usual batch version, in the sense that given a sample set the transformation coefficients at the end of the process are the same. The implications of applying the PCA in real time are discussed with the help of data analysis examples (a sample set is uploaded together with the examples))