Kalman_preAIC90

使用DSP和MATLAB设计的一个低通FIR滤波器，基本上实现了滤波的效果(use and MATLAB DSP design a FIR low-pass filter, basically realize the filtering effect)

采用回路阻抗法应用于n节点的电力系统，对于电力系统配电网潮流计算收敛速度快，准确度高。(Loop impedance method applied to the n-node power system, power system distribution power flow calculation and fast convergence, high accuracy.)

LMS+and+VSS_LMS算法，可在MATLAB7.0 以上的版本应用。(LMS and VSS_LMS CODE with MATLAB. The file include five sub_files.)

Well, this is a Visual Studio program which monitors temperatures Arduinoin background!

说明：  仿真论文 大规模MIMO系统中能效优化方法研究_刘永莉 中EE关于发射功率，天线数目，SE的优化关系，有相关图(simulation of massive MIMO EE optimization; one can obtain the graph of EE vs. Pt, EE v.s. L, EE v.s SE and L.)

离散傅立叶变换用于分析吸毒病人和正常人的频谱。(Discrete Fourier Transform for the analysis of drug abuse patients and normal spectrum.)

Binary Antipodal 之通讯系统模拟 错误率与SNR(Binary Antipodal of the communications system simulation error rate and SNR)

病态线性方程组的计算题，涉及Gauss消元法、雅可比迭代法、高斯-赛德尔迭代法、最速下降法和共轭梯度法。每一个方法，都编写一个m文件，封装成函数的形式。然后通过总的HilbLineEquSet.m文件来调用执行，画出误差曲线图，得到运行结果。总的Matlab程序流程，如下所示： 病态方程组的计算包括：HilbLineEquSet.m、gauss.m、jacobi.m、gauss_seidel.m、fastest_descend.m和conjugated_grad.m六个文件。 程序执行结果包括：求解结果、迭代次数、迭代误差数据、误差曲线图等。 (Morbid Linear Equations calculation problems involving Gauss elimination method, Jacobi' s iterative method, Gauss- Seidel iterative method, steepest descent method and conjugate gradient method. Each method, all the preparation of an m file, packaged in the form of a function. Then the total HilbLineEquSet.m file to invoke the implementation of draw error curve, to be running results. General Matlab program flow, as follows: the calculation of morbid equations include: HilbLineEquSet.m, gauss.m, jacobi.m, gauss_seidel.m, fastest_descend.m and conjugated_grad.m six documents. Procedures for implementation of the findings include: solving a result, the number of iterations, iterative error data, error curve and so on.)

Least-square curve fitting using polynomials is probably the most basic way to perform some parametric regression analysis. Foor basic tools for polynomial curve fitting are provided here. I also strongly recommend the exhaustive function POLYFITN

数字助听器中多通道响度补偿方法的研究.pdf(Multi-channel digital hearing aid loudness compensation method. Pdf)