DS-CDMA

在球面，曲面上计算任意一一点的曲率值，梯度值。(Calculate any point on the sphere, surface curvature values​ ​ , gradient values.​ ​ )

提供了几种最小二乘法程序包括：批处理最小二乘参数估计，递推最小二乘参数估计，遗忘因子递推最小二乘参数估计，递推增广最小二乘参数估计。(Provides several least squares procedures include: Batch least squares parameter estimation, recursive least squares parameter estimation, forgetting factor recursive least squares parameter estimation, Recursive Extended Least Squares Parameter Estimation.)

在：1）理想无噪生条件，2）SNR=10dB，3）SNR=20dB，4）两径衰落信 道{0, 0}、{-6dB，-10symbol}条件下，分别产生 1000 个符号的 QPSK、8PSK、 16QAM 星座点， 画出信号序列的星座图， 提交电子版信号产生、 加噪、 显示的*.m 程序和电子版 WORD 报告。 报告要求给出原理描述、 框图和分析说明输出结果。(In: 1) an ideal noiseless Health conditions, 2) SNR = 10dB, 3) SNR = 20dB, 4) two-path fading channel {0, 0}, {-6dB,-10symbol} under conditions generate 1,000 symbols QPSK, 8PSK, 16QAM constellation points, draw constellation signal sequence, submit an electronic version of the signal, noise, display*. m procedures and electronic WORD report. Reporting requirements given Principles, and the analysis shows a block diagram of the output.)

一个有关OFDM系统信道估计的程序，MATLAB环境(An OFDM system channel estimation procedure, MATLAB environment)

说明：  matlab入门简介，北京邮电大学多媒体通信中心 (matlab entry profiles, Beijing University of Posts and Telecommunications Multimedia Communication Center)

matlab Newton- Raphson power flow and 30bus systam data m file

精通MATLAB数字图像处理与识别 chapter4 代码(Proficient in MATLAB digital image processing and recognition chapter4 code)

Generates a pulse composed of Nc cycles of a sinusoidal waveform with fixed frequency Fp

it is sample for noise reducing signal

利用SVM做回归线性测试。对于大盘指数的有效预测可以从整体上观测股市的变化提供强有力的信息，所以对上证指数的预测很有意义。通过对上证指数从1990.12.20-2009.08.19每日的开盘数进行回归分析，最终拟合的结果是：均方误差MSE=2.35705 e-005，平方相关系数 R=99.9195 。SVM的拟合结果还是比较理想的。(Make use of SVM linear regression testing. For the market index can predict the observed changes in the stock market as a whole to provide a strong information, so it makes sense to predict the Shanghai index. Through the Shanghai Composite Index opened daily from 1990.12.20-2009.08.19 number of regression analysis, the results of the final fit are: mean square error MSE = 2.35705 e-005, the square of the correlation coefficient R = 99.9195 . SVM fitting result is quite satisfactory.)