12-dmusic

基于matlab/simulink的间接矢量控制建模(Based on matlab/simulink model of indirect vector control)

HSSVM是一个用超球SVM（Hyper-Sphere Support Vector Machines）模型求解多分类问题的工具包，采用Java语言实现。开发该程序的主要目的，是利用超球SVM求解模型代替传统上借助于解二分类问题的经典SVM模型来求解多分类问题。本文将论述该程序的主要实现细节，包括相关算法及设计原理的描述。(HSSVM is an ultra ball SVM (Hyper-Sphere Support Vector Machines) to solve multi-classification model of tool kit, using Java language. Development of the program' s main purpose is to solve the model by Ball SVM instead of the traditional means of solving two classification problems on the classical SVM model to solve multi-classification problems. This article discusses the main implementation details of the program, including related algorithms and design principles are described.)

离散傅里叶变换时实现信号频域分析的第一步，用matlab实现对离散傅里叶变换的描述。(Discrete Fourier transform when the signal frequency domain analysis to achieve the first step, using matlab to achieve a description of discrete Fourier transform.)

：提出一种基于独立成分分析（ICA）和位隙动态分组技术的超高频（UHF）射频识别（RFID）多标签防碰撞算法。利用ICA 算法实现多目标的同时识别，利用动态位隙标签分组保证阅读器同时读取的标签数少于或等 于其天线数，从而使ICA 工作于非欠定状态(A novel ultra high frequency (UHF) radio frequency identification（RFID）anti-collision algorithm based on independent components analysis (ICA) and dynamic bit-slot grouping technology was proposed. The ICA algorithm was used for identifying several tags simultaneously. The dynamic bit-slot tags grouping technology was used for ensuring the number of tags read by a reader at the same time was less than or equal to its antennas’ number, and enabling the ICA wouldn’t work in an underdetermined state. Theoretical analysis and simulated experimental results show that the tags identification rate of the proposed algorithm is far more than that of traditional stochastic or deterministic TDMA RFID anti-collision algorithms.)

处理由采集卡采到的加速度传感器测得的信号，并分析其在0-1000Hz的频谱幅值并绘制频谱图(Processed by the acquisition card taken to the measured acceleration sensor signal, and to analyze the spectrum of the 0-1000Hz and draw the amplitude spectrum)

Esfera control gimbal matlab

This is a fast non-iterative ellipse fit, and among fast non-iterative ellipse fits this is the most accurate and robust. It takes the xy-coordinates of data points, and returns the coefficients of the equation of the ellipse: ax^2 + bxy + cy^2 + dx + ey + f = 0, i.e. it returns the vector A=(a,b,c,d,e,f). To convert this vector to the geometric parameters (This is a fast non-iterative ellipse fit, and among fast non-iterative ellipse fits this is the most accurate and robust. It takes the xy-coordinates of data points, and returns the coefficients of the equation of the ellipse: ax^2+ bxy+ cy^2+ dx+ ey+ f = 0, i.e. it returns the vector A=(a,b,c,d,e,f). To convert this vector to the geometric parameters )

LMS 基本源程序，有效解决初步学习lms算法的初始难题(LMS basic source)

关于神经网络控制，在matlab环境中自动识别连通区域的大小,车牌识别定位程序的部分功能，是信号处理的基础，多目标跟踪的粒子滤波器，本科毕设要求参见标准测试模型。(On neural network control, Automatic identification in the matlab environment the size of the connected area, Part of the license plate recognition locator feature, Is the basis of the signal processing, Multi-target tracking particle filter, Undergraduate complete set requirements refer to the standard test models.)

跳频系统的Simulink模块实现,运行很快很好用(The Simulink module of frequency hopping systems, running good soon)