td2

说明：  分析了一个应用于测量的 16位精度开关电容Δ2Σ模数调制器. 该调制器采用 3阶 1位单 环包含局部谐振器的前馈结构 ,在保证其具有较大的输入信号允许范围的同时引入零点优化来提高信号 /噪声失真比. (Analysis used to measure a 16-bit precision switched-capacitor modulator Δ2Σ modulus. The 3-order modulator using a single ring resonator, contains the local feed-forward structure, ensure that it has a large range of input signal at the same time allows the introduction of zero optimization to improve the signal/noise and distortion ratio.)

实现匈牙利算法 实现匈牙利算法 实现匈牙利算法 实现匈牙利算法，求最大组合(algorithm to achieve Hungary Hungary algorithm algorithm Hungary is the Hungarian a lgorithm algorithm for the largest portfolio)

EKF-SOC估算，用于电池的soc估算(EKF-SOC estimation for battery SOC estimation)

Line Search using different type of functions. This is useful for Nonlinear programming.

Function pack to do composite calculations in Matlab.

Matlab官方的全局最优化工具箱，包括模拟退火等常用方法的介绍(The official global optimization Matlab toolbox, including simulated annealing and other commonly used methods described)

说明：  捷联惯导的轨迹发生器，matlab版本，生成比力，角速度等信息(SINS trajectory generator, matlab version, generated more than force, angular velocity and other information)

,Sonar Demo,Sonar Demo

some files for matlab

支持向量机和BP神经网络虽然都可以用来做非线性回归，但它们所基于的理论基础不同，回归的机理也不相同。支持向量机基于结构风险最小化理论，普遍认为其泛化能力要比神经网络的强。为了验证这种观点，本文编写了支持向量机非线性回归的通用Matlab程序和基于神经网络工具箱的BP神经网络仿真模块，仿真结果证实，支持向量机做非线性回归不仅泛化能力强于BP网络，而且能避免神经网络的固有缺陷——训练结果不稳定。 (Support Vector Machine and BP neural network, even though there can be used to make non-linear regression, but they are based on the theoretical basis for the different, the mechanism of regression is not the same. Support vector machine based on structural risk minimization theory, generally considered the generalization ability of neural networks than the strong. To test this view, the paper prepared by non-linear regression support vector machine procedures and based on a common Matlab neural network toolbox of BP neural network )