案例1 BP神经网络的数据分类-语音特征信号分类

相比DeconvNet写得比较简洁易懂。但是原来代码里面给的数据似乎没法跑。所幸同作者还有一些代码用到了TCNN，比如action recognition，可以一起下载下来参考。这个代码主要特色就是tiled结构，可以用来参考，然后把里面ICA的优化函数换成RICA，Sparse Coding等等。总之，在这个代码里也了解了不少(比如line search等)。(DeconvNet well written and easy to understand compared to relatively simple. But the original code to the data inside can not seem to run. Fortunately, there are some code with the author uses TCNN, such action recognition, can be downloaded along down the reference. This code is the main feature tiled structure that can be used for reference, and then put inside the ICA optimization functions into RICA, Sparse Coding and so on. In short, this code can also learn a lot (such as line search, etc.).)

本人在读博士，在科研中应用此matlab程序进行球面插值，在地学中具有重要应用。(Gridding of spherical data using a Green s function for splines in tension)

Newton Interpolation Method Values yi of the interpolating polynomial at the points xi. Coordinates of the points of interpolation are stored in vectors x and y. Horner s method is used to evaluate a polynomial. Second output parameter a holds coeeficients of the interpolating polynomial in Newton s form.

matlab软件，生成随机数，方法BuffonMonteCarlo(matlab software generate random numbers, methods BuffonMonteCarlo)

这是一个已知ar模型参数求功率谱密度的函数(Ar model parameters are known to seek the power spectral density function)

倒立摆 模糊控制 一级直线 毕业论文 源程序 论文资料(Fuzzy Control of an Inverted Pendulum graduation line information source papers)

ofdm tutorial in a simple manner using matlab

应用matlab生成白噪声和有色噪声的程序设计(failed to translate)

It is an ebook about the mathematical portion of teh GRE preparation class. it have all the problems related to different chapters and practise questions

本代码使用高斯绝对稀疏信号进行重构，采用的重构算法是SAMP，重构效果好！(This code uses the absolute sparse Gaussian signal reconstruction, reconstruction algorithm uses a SAMP, good remodeling effect!)