主成分分析法，用于将低数据维度-pca

用BP网络实现非线性函数逼近的一个简单的程序(BP network with non-linear function approximation of a simple procedure)

研究有限矩形区域内，粒子运动到区域边界时会与区域边界发生不同作用（弹性碰撞和吸收两种可能的情况）下的布朗运动。(Finite rectangular region of the particle motion to the regional boundaries will occur with the different roles of the regional boundary (elastic collision and absorption of two possible scenarios), the Brownian motion.)

Use a Genetic Algorithm to find shaper parameters which best fit model response

协同通信以及感知无线电方面的仿真，MATLAB环境(Collaborative aspects of cognitive radio communications, as well as simulation, MATLAB environment)

找到了比较全的摄像机标定程序,与我设计相关,能够运行出结构,棋盘格,张正友法(Find a relatively full of camera calibration procedures associated with my design, can run out of the structure, checkerboard, Zhang Zhengyou method)

该程序利用多相滤波结构实现了宽带信号的信道化，相比传统信道化方法，节省了资源，提高了效率。(The program uses the polyphase filter structure to achieve a broadband signal channelization, compared to traditional methods channel, save resources and improve efficiency.)

针对离散系统的阶跃信号、正弦信号和方波信号，设计离散PID(Step for the discrete-time systems signal, sinusoidal signal and the square wave signal, the design of discrete PID)

GM(1,1)模型1-4 1：GM(1,1)模拟模型，在matlab中的输入方法为gm1（x），x指要模拟的序列。 2：GM(1,1)预测模型，在matlab中的输入方法为gm2（x，K），x指要模拟的序列，K指从以后序列第一个数据算起的第k个待预测数据。 3：GM(1,1)群模拟模型，在matlab中的输入方法为gm3（x），x指要模拟的序列。 4：GM(1,1)群预测模型，在matlab中的输入方法为gm4（x，K），x指要模拟的序列，K指从以后序列第一个数据算起的第k个待预测数据。 gm4对序列趋势比较好的数据预测效果较好，对上下变动的数据，特别是后4个数据趋势跟前面的数据相反的，预测效果很差。 gm2对上下变动的数据，预测效果比gm4好，但对趋势较好的数据，预测精度没有gm4高。 gm3比gm1模拟精度要高。 可以以x=[1 3 5 7 9 11 13 15]进行实验。x输入默认行向量。 所有程序在matlab6.0上调试通过。(GM (1,1) 1-4 1 : GM (1,1) simulation model Matlab in the input method for gm1 (x), x entail simulation sequence. 2 : GM (1,1) model, in the Matlab input method for gm2 (x, K), x entail simulated sequence, from the K refers to the first series after a run of data k pending forecast data. 3 : GM (1,1)- simulation model, in the Matlab input method for gm3 (x), x entail simulation sequence. 4 : GM (1,1)- forecasting model, in the Matlab input method for gm4 (x, K), x entail simulated sequence, from the K refers to the first series after a run of data k pending forecast data. Gm4 right sequence relatively good trend data predicted better results, the next change in the data, especially after four data with the previous trend data contrary, predict poor. Gm2 next to the change in forecast resu)

single input multiple output matlab simulation..

Representation of a Dalvik class, which is basically a set of members (fields or methods) along with a few more pieces of information.