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基于LANDMARC的定位系统上进行的算法复杂度的减小的优化，包括了具体的优化后系统的实现，误差前后对比，改文章还提出了一种adaptive的定位算法，更利于外部变化环境下(In wireless networks, a client’s locations can be estimated using signal strength received from signal transmitters. Static fingerprint-based techniques are commonly used for location estimation, in which a radio map is built by calibrating signal-strength values in the offline phase. These values, compiled into deterministic or probabilistic models, are used for online localization. However, the radio map can be outdated when signal-strength values change over time due to environmental dynamics, and repeated data calibration is infeasible or expensive. In this paper, we present a novel algorithm, known as Location Estimation using Model Trees (LEMT), to reconstruct a radio map by using real-time signal-strength readings received at the reference points. This algorithm can take real-time signal-strength values at each time point into account and make use of the dependency between the estimated locations and reference points. We show that this technique can effectively accommodat)

求一个序列的自相关系数，编写的程序！对学习非常有用！(Can be used to calculate the auto-correlation coefficient! very useful!)

Edge detection result should be enhanced using linear method like Median filter to remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the centre of the pupil by counting the number of black pixels (zero value) of each column and row. Then get each row and column that has the maximum number of these black pixels. Then determine the center by simple calculation according to the image coordinate to set it correct on the image, consequently we can determine the radius of the pupil. Thus we can find the pupillary boundary (inner). A similar procedure is extended by using a coarse scale to locate the outer boundary (limbus) which can be apparent by using the mid-point algorithms of circle and ellipse.

使用DCT变换分组量化的方法实现音频水印的嵌入，抗攻击性良好(DCT watermarking)

Gaussiennes, Gaussienne standard and Lognormal型随机变量的数值模拟(Gaussiennes, Gaussienne standard and Lognormal type of numerical simulation of random variables)

小波边缘检测matlab源程序，利用matlab提供的小波函数对图像进行行、列变换。(The matlab program code use wavelet edge detection)

Differential PSK (DPSK) 􀂄 Inexpensive 􀂄 Quadrature Phase Shift Keying (QPSK) 􀂄 Twice as spectrally efficient than BPSK 􀂄 Offset QPSK (OQPSK) 􀂄 reduce envelope variation 􀂄 π/4 QPSK 􀂄 reduces envelope variations to a lesser extent than OQPSK can be noncoherently detected

基于萤火虫的无线传感器网络的同步和去同步时间算法(Self-organizing Synchronization and Desynchronization in Wireless Sensor Networks)

实现跟踪算法DSST，matlab源代码，vot2014竞赛中最好的算法之一。(DSST tracking matlab codes)

MATLAB Simulation of OFDM System