Project1

有限单元，稀疏矩陈存储。 有限单元程序组件。 开发：东华理工大学 联系：张志勇(Finite element, sparse moments Chen storage. Finite element program components. Development: Tung Wah Group of Hong Kong Polytechnic University Contact: Zhang Zhiyong)

用FORTRON程序编的最速下降法，用来解决无约束规划问题(With FORTRON program compiled the steepest descent method, which is used to solve the unconstrained programming problem)

说明：  列与约束算法解决鲁棒经济调度问题，分解成主问题和子问题解决(Column and constraint algorithms solve the robust economic scheduling problem,which are decomposed into main problems and sub-problems)

DOA估计，两个自编的MUSIC波束形成的算法 MN_music_doa root_music(DOA estimation, the two self MUSIC beamforming algorithm MN_music_doa root_music)

斐波那契算法，及代码，求最优解，提高算法速度及精度(Fibonacci algorithm and code to find the optimal solution, improve the speed and accuracy of solution)

Visual C++ MATLAB图像处理与识别实用案例精选 pdg格式(tha visual C+++ Matlab)

psk 模拟中调制与解调过程中的各种图像，对学习很重要的用处。(the psk analog modulation and demodulation process in a variety of image, very important to learn useful.)

说明：  计算函数的极值的一种方法 只是其中一种 以后会陆续上新的(Calculation of the extremal function is just one of a method of the future will continue on a new)

GMM-GMR is a set of Matlab functions to train a Gaussian Mixture Model (GMM) and retrieve generalized data through Gaussian Mixture Regression (GMR). It allows to encode efficiently any dataset in Gaussian Mixture Model (GMM) through the use of an Expectation-Maximization (EM) iterative learning algorithms. By using this model, Gaussian Mixture Regression (GMR) can then be used to retrieve partial output data by specifying the desired inputs. It then acts as a generalization process that computes conditional probability with respect to partially observed data.

Real time Digital Signal Processing ebook