SQP

复制看跌期权,主要包含期权结构、收益分析的内容(copy a put option)

采用matlab语言编写，相变沸腾的LBM模拟。(Using the matlab language to write, phase transition boiling LBM simulations)

扩频接收机设计的MATLAB源代码，下载可以直接使用，深入学习直接扩频通信仿真。(Spread spectrum receiver design of the MATLAB source code, download direct access, in-depth study and direct spread spectrum communication simulation.)

multi layer perceptron il suffit juste de fair entrer l enter et sortie désiré

将含有高斯白噪声的输入信号通过线性系统后（带阻滤波器）的输入、输出前信号的频谱、功率谱对比。同时给出了线性系统特性(Gaussian white noise, containing the input signal by a linear system (bandstop filter) of the input, before the output signal spectrum, the power spectrum of contrast. Also gives a linear system characteristics)

文件中包含了歌曲名,专集名,歌手名,发行日期等信息.一个合格的播放器是可以将其提 取出来予以显示的.这些信息存在偶们称之为ID3的数据块中.下面贴上ID3的详细说明. [4t1r.rar] - 用matlab开发的分布MIMO四发一收的仿真 (File contains the song name, album name, artist name, release dates and other information. A qualified player is extracted can be displayed.偶们existence of the information referred to as ID3 data block. Paste below ID3 detailed description. [4t1r.rar]- using matlab to develop the distribution of a closed four MIMO simulation)

MATLAB在通信调制解调中的应用 (MATLAB in the communication modem application)

this is about edge detection, explaining the matlab implementation as a lecture

Standard model object recognition matlab code(Standard model object recognition Matlab code)

不错的GM_EM代码。用于聚类分析等方面。( GM_EM- fit a Gaussian mixture model to N points located in n-dimensional space. Note: This function requires the Statistical Toolbox and, if you wish to plot (for k = 2), the function error_ellipse Elementary usage: GM_EM(X,k)- fit a GMM to X, where X is N x n and k is the number of clusters. Algorithm follows steps outlined in Bishop (2009) Pattern Recognition and Machine Learning , Chapter 9. Additional inputs: bn_noise- allow for uniform background noise term ( T or F , default T ). If T , relevant classification uses the (k+1)th cluster reps- number of repetitions with different initial conditions (default = 10). Note: only the best fit (in a likelihood sense) is returned. max_iters- maximum iteration number for EM algorithm (default = 100) tol- tolerance value (default = 0.01) Outputs idx- classification/labelling of data in X mu- GM centres)