matlab-program-example

SVM神经网络的回归预测分析---上证开盘指数预测,matlab的经典算法(SVM neural network regression analysis--- Shanghai opening index prediction, matlab classical algorithm)

悬臂梁轴向变形有限元分析的MATLAB算例(Cantilever axial deformation finite element analysis of MATLAB examples)

说明：  用遗传算法解决旅行商问题，包括交叉，选择，变异和适应度函数计算等函数(in order to solve the problem of TSP, a GA algorithm is proposed, which including the cross, select, mutation.)

这是一个拉普拉斯系统分析仿真的Systemview源代码。(This is a Laplace System Simulation Systemview source code.)

speech modification using matlab

自适应滤波算法的应用，自适应信号对消的一种例子(The application of adaptive filtering algorithms, adaptive signal cancellation of a case)

ppt on basic understanding of uwb antenna and uwb antenna design for under water communication

空域数字图像线性滤波器和频域非递归滤波器（包括：频域变换法、频域抽样法和窗函数法）的Matlab实现。(Airspace linear digital image filters and frequency-domain non-recursive filter (including: frequency-domain transformation method, frequency-domain sampling method and window function method) of the Matlab implementation.)

此程序为MATLAB计算非线性方程组的程序(This procedure for calculating the nonlinear equations MATLAB procedure)

检测估计和调制理论 迄今为止，本书仍然是公认的关于检测、参数估计和线性与非线性调制波形估计方面的一本论述详尽、深入、成功的著作。也是一本较好的研究生教材。内容是研究发生在通信、雷达和声呐中被噪声污染了的各种线性与非线性调制、随机与非随机波形的最佳处理的数学方法和物理结构，各种系统可能达到的性能极限和影响它的各种因素。全书包括导论、经典检测和估计理论、随机过程的描述、信号检测与信号参数估计、连续波估计、线性估计和讨论等7章。每章附有相当数量的扩大内容范围的习题。 (Detection Estimation and Modulation Theory So far, the book is still recognized on the detection, parameter estimation and estimation of linear and nonlinear modulation waveform s a detailed discussion, thorough and successful work. Is also a good post-graduate teaching. Content is research in communications, radar and sonar noise pollution has been a variety of linear and nonlinear modulated, random and non-random waveforms of the best methods of dealing with the mathematical and physical structure of the performance of the various systems may reach the limit and the various factors affecting it. The book includes introduction, classical detection and estimation theory, stochastic process description, signal detection and signal parameter estimation, continuous-wave estimation, linear estimation and discussion of Chapter 7. Each chapter is accompanied by a considerable number of exercises the expansion of content areas.)