lmi

线天线阵和面天线阵在MATLAB内的方向图以及半功率带宽(Antenna array and antenna array within the orientation map in MATLAB and the half-power bandwidth of)

基于最小风险的贝叶斯分类器，用于数字分类识别(Bayesian minimum risk classification for digital classification)

基于matlab的LMS、LMS牛顿算法。用于实现步长K改变对LMS、NLMS的影响。(LMS、NLMS methods based on Matlab. To test the changes when change the K.)

说明：  关于用MATLAB设计对信号进行频谱分析和滤波处理的程序。(With regard to design using MATLAB signal processing spectral analysis and filtering procedures.)

详细介绍matlab开发环境 北航 张志涌(Matlab detailed development environment BUAA Zhang Zhiyong)

matlab实现基本的通信仿真技术bpsk(To achieve basic communications simulation technology bpsk using matlab)

A implementation of support vector regression in matlab.

用matalab实现的最短距离算法的系统聚类分析对样本进行分类(With matalab achieve the shortest distance between cluster analysis algorithm to classify the samples)

分析了该信号的时域、频域、倒谱，循环谱等,结合PCA的尺度不变特征变换(SIFT)算法，DC-DC部分采用定功率单环控制。( Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. Combined with PCA scale invariant feature transform (SIFT) algorithm, DC-DC power single-part set-loop control.)

Goal of the project was to implement numerical methods for solving systems of nonlinear algebraic equations using MATLAB software. As in previous assignment first of all I need to research for functions, which would be helpful during evaluation of each task, later on I was able to implement and test numerical algorithms for solving given problems. Each student got three different equations to solve, and create another one with use of them for finding its zero place with various methods. Each method, result, comment and conclusion is placed in this report. At the end of the report one can find my MATLAB programs, and all references which were used as a help for me during evaluation.