terminal_position_lookup_table

信号为两个正弦信号加高斯白噪声，用burg递推法对其进行功率谱估计，效果不错。(Signal for two sinusoidal signal plus Gaussian white noise, the recursive method burg its power spectrum estimation, good results.)

it is for designing filter

光学干涉、衍射代码，包括双缝干涉，多孔干涉等等，还有效果图(Optical interference, diffraction code, including double-slit interference, porous interference, etc., as well as renderings)

mintreek.m 最小树枝生成发函数(the smallest branches generated hair in mintreek.m function)

MATLAB统计功能的简单介绍，并且与splus的对应功能做了比较(Brief introduction to MATLAB statistical functions, and with splus features were compared with the corresponding)

说明：  使用VC与MATLAB混合编程实现了一路波形信号的FFT变换，简单修改后可以应用于信号处理程序中，由于使用了混合编程，大大减少了代码编写工作量(The use of VC and Matlab MATLAB waveform signals all the way FFT transform, simple modifications can be applied to signal processing procedures, the use of hybrid programming, greatly reducing the workload coding)

MATLAB 编程（第二版） 《MATLAB Programming for Engineers》的中文版，最好的编程教材。 (MATLAB Programming for Engineers （Second Edition） )

脉冲噪声条件下，基于循环平稳信号的MUSIC 算法。提出分数低阶循环统计量(floccMUSIC algorithm in impulse noise)

司守奎matlab lingo数学建模与应用配套程序 第三章 非线性规划编程源代码(Company keep kratos lingo mathematical modeling, and application of matlab program The third chapter nonlinear programming programming source code )

：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.)