juanjima

rs 里查森迭代法求线性方程组 crs 里查森参数迭代法求线性方程组 grs 里查森迭代法求线性方程组 jacobi 雅可比迭代法求线性方程组 gauseidel 高斯-赛德尔迭代法求线性方程组 SOR 超松弛迭代法求线性方程组 SSOR 对称逐次超松弛迭代法求线性方程组 JOR 雅可比超松弛迭代法求线性方程组 twostep 两步迭代法求线性方程组 fastdown 最速下降法求线性方程组 conjgrad 共轭梯度法求线性方程组 preconjgrad 预处理共轭梯度法求线性方程组 BJ 块雅克比迭代法求线性方程组 BGS 块高斯-赛德尔迭代法求线性方程组 BSOR 块逐次超松弛迭代法求线性方程组 (iterative method of linear equation.)

this matlab code is for commande of system by PI controller

基于MATLAB 的语音信号频谱分析与去噪研究 1、通过Matlab读入语音信号，进行频域分析 2、绘制语音信号频谱； 3、设计滤波器并进行滤波； 4、加噪，对比语音信号波形和频谱(Research on speech signal spectrum analysis and denoising based on MATLAB 1, read the voice signal through Matlab and analyze it in frequency domain. 2, draw the frequency spectrum of speech signal; 3. The filter is designed and filtered. 4. Add noise and compare the waveform and spectrum of speech signal)

关于均匀线性阵列中阵元个数和阵元间距的matlab仿真例程(About a uniform linear array and the array element number of the array element spacing matlab simulation routines)

VSB调制模型，提倡共享。谢谢大家支持。(VSB modulation model, promoting sharing. Thank you for support. Thank you, Thank you, thank)

设计一种快跳频通信系统，仿真其中的序列和性能，并给出系统框图。(Design of a fast frequency-hopping communication systems, simulation and performance of the sequence, and gives the system diagram.)

附件代码为正交匹配追踪的源程序，用matlab编写，程序简单实用。(Annex code orthogonal matching pursuit of the source, written with matlab, the program is simple and practical.)

In short, to-the-point chapters, Practical C++ Programming covers all aspects of programming including style, software engineering, programming design, object-oriented design, and debugging. It also covers common mistakes and how to find (and avoid) them. End of chapter exercises help you ensure you ve mastered the material. Steve Oualline s clear, easy-going writing style and hands-on approach to learning make Practical C++ Programming a nearly painless way to master this complex but powerful programming language.

通过对大量顾客购买数据进行分析，即购物篮模型，然后给出合理的建议(SHOPPING ansys)

说明：  EM算法代码，利用类电磁机制求解优化问题的优化算法可以达到全局最优的算法，并且不要求目标函数可微(EM algorithm code, the use of the electromagnetic mechanism to solve the optimization problem of the optimization algorithm can achieve the global optimal algorithm, and does not require differentiable objective function)