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DV-hop与min-max相结合，使得计算量更小，在最后对结果求精，定位精度更高。(DV- hop combined with min- Max, makes a smaller amount of calculation, at the end of the refinement, positioning accuracy is higher. )

D2D的自适应链路仿真，可根据信道状况，自选自调制方式(novel link adaptation of D2D cluster multicast)

说明：  对粒子滤波算法的原理和应用进行综述’首先针对非线性非高斯系统的状态滤波问题C阐述粒子滤波的原理D然后在分析采样=重要性=重采样算法基础上C讨论粒子滤波算法存在的主要问题和改进手段D最后从概率密度函数的角度出发C将粒子滤波方法与其他非线性滤波算法进行比较C阐明了粒子滤波的适应性C给出了粒子滤波在一些研究领域中的应用C并展望了其未来发展方向(QJPRQ Elc8&m :jelf dgwd99&jvdej gq:c&decwe 9d:ejv&chj&ec:d:cqi:pcrcw’8jfjgmdeelcg g&jgcd:"g g= #diqqjdghj&ec:9: u&cfCelcmcgc:jvjwcdq h9d:ejv&chj&ec:d:cmjpcgCudqcwgelcdgd&rqjqhqedgwd:wd&m :jelf=jf9 :edgvc=:cqdf9&jgmhj&ec:Celc9h9d:ev&chj&ec:d:cwjqviqqcwdgwqcjf9:d:cj&&iqe:decw)

产生一个连续信号，包含低频，中频，高频分量，对其进行采样，进行频谱分析，分别设计低通，带通，高通滤波器对信号进行滤波处理，观察滤波前后信号的频谱。(Generates a continuous signal, including low-frequency, medium frequency, high frequency components, its sampling, spectral analysis, were designed low-pass, band pass, high pass filter for filtering the signal, observed before and after filtering the signal spectrum.)

国外全新方法实现二值化This fucntion convert an intensity image to a binary image by using Entropy-based method(Foreign brand-new method Binarization This fucntion convert an intensity image to a binary image by using Entropy-based method)

设计一维纳滤波器 (1)产生三组观测数据：首先根据s(n)=a s(n-1)+w(n)产生信号s(n)，将其加噪（信噪比分别为20dB,10 dB，6 dB），得到观测数据x1(n), x2(n), x31(n). (2)估计xi(n)，i=1,2,3的AR模型参数。假设信号长度为L，AR模型阶数为N，分析实验结果，并讨论改变L,N对实验结果的影响。 (A Wiener filter design (1) to produce three sets of observations: first generating a signal s (n) according to s (n) = as (n-1)+w (n), to add noise (20dB SNR, respectively , 10 dB, 6 dB), to obtain observational data x1 (n), x2 (n), x31 (n). (2) estimate xi (n), i = AR model parameters 1,2,3. Assuming the signal length L, AR model of order N, analysis of experimental results and discuss the impact changing L, N of the experimental results.)

将matlab图像处理的一些命令函数，可用于图像处理的一些运算(The matlab image processing function of some commands can be used for some image processing operations)

粒子滤波的基本算法，源自N.J.Gordon的1993年的论文(It s the basic algorism of particle filter, extracting from the paper of N.J.Gordon in 1993)

一个简单的Lee滤波,只是一般的设计方法,仅供参考!(A simple filter of lee, just for sharing!)

邻接灰度矩阵（NGLDM）计算的程序，matlab实现(Neighboring Gray-Level Dependence Matrix )