MATLAB_style

基于Matlab的捷联惯导轨迹发生器，希望给大家有所帮助(Strapdown inertial navigation trajectory generator based on matlab。May be help to you)

本文件是matlat分割用,欢迎下载用，这可是免费的，maotllab分割程序(This document is divided by matlat，welcome come here,download)

l这个工具是一个高版本的inux tools(this is a high linux tools)

Adaptive Volume Rendering using Fuzzy Logic Control

用MATLAB实现对图像图像的处理，图像的BTC编码。(MATLAB implementation of the image by image processing, image of the BTC coding.)

Matlab code for LPC analysis

罚函数法将有约束最优化问题转化为求解无约束最优化问题。在此给出罚函数法Matlab源程序(Penalty function method will be constrained optimization problem into solving unconstrained optimization problems. This gives the penalty function method in Matlab source)

系统详细的介绍了matlab软件在各个领域中的应用以及其在科学计算语言中的应用(System is described in detail matlab software applications in various fields as well as their application in scientific computing language)

input: fun x(t) t min & t max a df T = t_max-t_min fs = a*1/T 输入1：方程，xt；输入2，3：信号起始时间；输入4：选取的采样周期是信号长度倒数的倍数， 默认为50；输入5：频域分辨率，默认为0.3 输出频域信号和频域范围 为了提高fft的速度，频域信号长度是2的次方( Input: fun x (t) t min & t max a df T = t_max-t_min fs = a* 1/T Input 1: Equation XT input 2,3: signal start time input 4: select the sampling period is the reciprocal multiples of the signal length, default is 50 input 5: frequency domain resolution, default is 0.3 of the output frequency domain signal and the frequency domain in order to improve the speed of the FFT, the frequency domain signal length is a power of 2)

：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.)