xianshi

随着新的数学工具小波分析的实用化为基于NN负荷预测模型性能的改善提供了理论依据对于电力系统负荷非线性时间序列的辨识在预测方法研究中应给予重视在本文所用的基于小波原理和NN融合的预测原理是具有强的非线性时间序列的辩能力由研究和仿真表明它能有效提高预测的精度(with new mathematical tools wavelet analysis based on NN into practical load forecasting model to improve the performance of the rationale On the basis for the power system load nonlinear time series forecasting methods in literacy research should give importance to the use of paper Based on wavelet theory and NN fusion principle is the forecast of strong nonlinear time series by the dialectical capacity of research and simulation shows it can effectively improve the accuracy of forecasts)

产生psk调制信号的源程序，并对信号进行成型滤波及上变频(generate PSK modulated signals, and the signals pass the shaping filter and DUC)

说明：  广义SLM 含有大量关于slm的各种仿真(SLM contains a lot of broad variety of simulation on the slm)

说明：  共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。 在各种优化算法中，共轭梯度法是非常重要的一种。其优点是所需存储量小，具有步收敛性，稳定性高，而且不需要任何外来参数。(The Conjugate Gradient method is a method between the steepest descent method and the Newton method. It only needs to use the first derivative information, but overcomes the shortcomings of the steepest descent method and avoids the need for the Newton method to store And the calculation of Hesse matrix and the inverse of the shortcomings, conjugate gradient method is not only to solve large-scale linear equations one of the most useful methods, but also solution for large-scale nonlinear optimization of one of the most effective algorithm. In a variety of optimization algorithms, conjugate gradient method is a very important one. The advantage is that the required storage capacity is small, with step convergence, high stability, and does not require any external parameters.)

Matlab与VC的接口设计。本文档详细介绍了如何在matlab环境下导出VC中支持的源代码。(Matlab and VC in the interface design. This document details how to export a VC in the matlab environment to support the source code.)

说明：  最近在研究脑电信号的处理 同事自己也收集了一些资料希望和大家分享(Recent studies dealing with EEG colleagues collected themselves would like to share some information)

我写的简明MATLAB与VC++混合编程例子，附有说明文档(I wrote a simple MATLAB and Visual C++ programming examples with documentation)

AN EXAMPLE FOR HOW TO PROGRAM AN STB

该实例程序的作用是奇异值分解，输入预进行奇异值分解的矩阵，便可以直接运行(The sample program is the role of singular value decomposition, the singular value decomposition of the input pre-matrix, we can run)

惯性导航解算程序，四阶龙格库塔发更新四元数，求姿态、速度和位置(Solver inertial navigation procedures, fourth-order Runge-Kutta issued to update the quaternion, seeking attitude, velocity and position)