AI4

The C Programming Language

DBPSK，包括误码率统计和误符号率统计(DBPSK, including bit error rate and symbol error rate statistics Statistics)

基于稀疏变量的欠定盲源分离，可以解决源数大于传感器数的问题，即欠定盲源分离问题。(Based on the sparse variable underdetermined blind source separation, can solve the source number is greater than the number of sensors the problems, i.e. underdetermined blind source separation.)

此程序用来产生不同n条件下的固有频率并画出振型图(The program used to generate the N under different natural frequency and vibration mode diagram drawn )

有详细的注释，数值分析的EULER法，基于kaiser窗的双谱线插值FFT谐波分析，采用波束成形技术的BER计算，包括脚本文件和函数文件形式，是学习PCA特征提取的很好的学习资料，非归零型差分相位调制信号建模与仿真分析 。( There are detailed notes, EULER numerical analysis method, Dual-line interpolation FFT harmonic analysis kaiser windows, By applying the beam forming technology of BER Including script files and function files in the form, Is a good learning materials to learn PCA feature extraction, NRZ type differential phase modulation signal modeling and simulation analysis.)

独立成份分析（ＩＣＡ）以及ｗｉｎｎｅｒ滤波 Source separation of complex signals with JADE. Jade performs `Source Separation in the following sense: X is an n x T data matrix assumed modelled as X = A S + N where o A is an unknown n x m matrix with full rank. o S is a m x T data matrix (source signals) with the properties a) for each t, the components of S(:,t) are statistically independent b) for each p, the S(p,:) is the realization of a zero-mean `source signal . c) At most one of these processes has a vanishing 4th-order cumulant. o N is a n x T matrix. It is a realization of a spatially white Gaussian noise, i.e. Cov(X) = sigma*eye(n) with unknown variance sigma. This is probably better than no modeling at all...( Source separation of complex signals with JADE. Jade performs `Source Separation in the following sense: X is an n x T data matrix assumed modelled as X = A S+ N where o A is an unknown n x m matrix with full rank. o S is a m x T data matrix (source signals) with the properties a) for each t, the components of S(:,t) are statistically independent b) for each p, the S(p,:) is the realization of a zero-mean `source signal . c) At most one of these processes has a vanishing 4th-order cumulant. o N is a n x T matrix. It is a realization of a spatially white Gaussian noise, i.e. Cov(X) = sigma*eye(n) with unknown variance sigma. This is probably better than no modeling at all...)

使用DWT实现图像融合，以得到更适合计算机处理、人类识别的图像(DWT to achieve image fusion, is more suitable for computer processing, human identification image)

基于MATLAB的单目视觉车辆测距技术研究(Monocular vision based on MATLAB vehicles ranging technology research)

Its alamouti code calculating BER performance.

这个是tabu 搜索算法， 用matlab实现，有助于学习tabu算法的人(it is the TABU algorithm)