daolibaimohukongzhiqi

一、椭圆型偏微分方程 1. Helmholtz方程 及 特例（Possion方程， Laplace方程）； Helmholtz.m possion 2. 满足牛顿边值条件的Helmholtz方程；Helmholtz_Newton.m 二、抛物线型偏微分方程 1. 显式前向欧拉法 EF_Euler.m 2. 隐式后向欧拉法 IB_Euler.m 3. Grank-Nicholson法 Grank_Nicholson.m 4. 二维热传导抛物线方程 TDE.m 三、双曲线型偏微分方程 1. 显式中心差分法（一维波动方程） ECD_Wave.m 2. 显式中心差分法（二维波动方程） Wave2.m 四、有限元法 二维偏微分法方程（拉普拉斯方程） fem_basis_ftn.m Show_Basis.m fem_coef 五、使用GUI形式的偏微分方程求解工具求解偏微分方程（PDETOOL） 来自《精通Matlab科学计算》第三版(Numerical Methods for PDE)

本程序是 用来计算支持向量机的,完全可用!我自己作过实验!()

This is a code for admittance matrix formulation. Given that its inputs are bus, to bus, impedance, susceptance and tap transformer.

说明：  产生正弦波、均匀白噪声、高斯白噪声图形；利用小波变换去噪并求信噪比。(Sine wave, uniform white noise and Gauss white noise are generated; wavelet transform is used to denoise and SNR is calculated.)

双级矩阵变换器的MATLAB的仿真实现，完整的验证了双级矩阵变换器的基本原理。(Two-stage Matrix Converter Simulation of MATLAB-)

linear conjugate gradient

《通信系统仿真原理与无线应用》系统地介绍通信系统的设计、分析和仿真方法，还提供了大量极具参考价值的仿真实例。《通信系统仿真原理与无线应用》的全部仿真程序都是采用MATLAB编写的。这不仅方便读者理解仿真的实现过程，还允许读者修改或使用这些代码段来进行自己的仿真开发。章后提供了大量的参考文献和经过精心设计的各类练习题，方便教学。 此为英文原版书籍(Principles of Communication Systems Simulation with Wireless Applications is a hands-on, example-rich guide to simulating wireless communications systems. The first book to present complete MATLAB simulation models for predicting the impact of design changes, it treats every aspect of simulation: sampling, signal and system representations, filters, noise, Monte Carlo simulation, postprocessing, nonlinear and time-varying systems, waveform and discrete channels, co-channel interference, and more. It includes four detailed case studies.)

详细介绍了利用等纹波设计和凯泽窗法设计FIR滤波器的方法，并进行了仿真，并对纹波系数和衰减进行了比较(Details of the method of utilization ripple design and Kaiser window FIR filter design, and simulation, and the ripple factor and attenuation compared)

ISO532B标准方法求得的响度，通过matlab代码实现(Loudness obtained by ISO532B standard method)

与传统的小波分解相比，提升小波可以实现整数小波变换，其方法与一般去噪法相同，都是对小波分解的高频系数进行阈值量化来达到去噪的目的。(Compared with the traditional wavelet, lifting wavelet can achieve integer wavelet transform, its the same way as regular de-noising method, are the high-frequency coefficients of wavelet decomposition threshold quantization to achieve the purpose of de-noising.)