25w81121w3matlab-fft

无标度网络结构相对简单,实现算法与可视化并不困难。与其它语言相比,Matlab 语言具有丰富的数学 函数库,能够写出简约的源代码。对于非计算机专业的大学生来说,以此为基础,能够快速进入复杂网络前沿 研究课题,对其数学建模能力和科研能力的培养极为有益。(Scale-free network structure is relatively simple algorithm is not difficult and visualization. Compared with other languages, Matlab language with a rich library of mathematical functions, can be simple to write the source code. For non-computer science students is as a basis to quickly enter the complex network of cutting-edge research topics, their mathematical modeling and scientific research is extremely useful ability.)

说明：  matlab实现线性mmse均衡器，代码实用(the linear mmse equalizer matlab code utility)

线性分组码的编码，译码，大家可以借鉴使用，希望大家喜欢。(Linear block code encoding, decoding, we can learn to use, I hope you like it.)

Active Contour using matlab

This collection of files is an extension of the wavelet software package originally written by Torrence and Compo (http://paos.colorado.edu/research/wavelets/software.html) The main functions are: 1. contwt.m: (continuous wavelet transform). This is essentially Torrence and Compo s wavelet.m with a few modifications (more inputs and outputs for easier access) 2. invcwt.m: inverse continuous wavelet transform.

shrodinger-poisson multi quantum well matlab simulatio file

nonlinear system identification using neural networks on matlab

利用函数MadHG生成规则LDPC码的校验矩阵H，其行重为6,列重为3,行数为列数一半(行数越大越好)，H中任意两列没有围长为4的圈，并得到H对应的生成矩阵G，可以保证mod(G*H ,2)=0。使用方法为:[H,G] = MadHG(m,n,x),x= 1(得到的G左半部分为单位阵) or 2(G右半部分为单位阵),(use function MadHG Generation rules LDPC check matrix H, re-6, series of three, out for a few half of the number (A bigger the better), H 2 arbitrary no girth of the four circles, H counterparts and with the formation of matrix G, we can be assured of mod (G* H, 2) = 0. To be used : [H, G] = MadHG (m, n, x), x = 1 (the G part of the Left Front units) or 2 (G right half of the units RUF),)

BIRCH (balanced iterative reducing and clustering using hierarchies) is an unsupervised data mining algorithm used to perform hierarchical clustering over particularly large data-sets. An advantage of Birch is its ability to incrementally and dynamically cluster incoming, multi-dimensional metric data points in an attempt to produce the best quality clustering for a given set of resources (memory and time constraints). In most cases, Birch only requires a single scan of the database. In addition, Birch is recognized[1] as the, "first clustering algorithm proposed in the database area to handle noise (data points that are not part of the underlying pattern) effectively".

欧洲的一个学生，对802.16a的硕士论文。有OFDM的源代码。(Europe 1 students and the 802.16a master's thesis. OFDM is the source code.)