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omnet下leach算法，有助于omnet的初学者仿真练习(Under the omnet leach algorithm, omnet help beginners simulation practice)

MATLAB在计量经济学中的应用，英文原版电子书籍(MATLAB application in econometrics, the English original e-books)

particle swarm optimization

matlab编写的，盲源分离的程序汇总，学习信号处理非常有用(matlab written summary of blind source separation program, learning is very useful signal processing)

MATLAB常用函数大全都在这了，很实用(MATLAB functions used in this Daquan, and very practical)

增广最小二乘的递推算法对应的噪声模型为滑动平均噪声，扩充了参数向量和数据向量H（k）的维数，把噪声模型的辨识同时考虑进去。最小二乘法只能获得过程模型的参数估计，而增广最小二乘法同时又能获得噪声模型的参数估计，若噪声模型为平均滑动模型，，则只能用RELS算法才能获得无偏估计。当数据长度较大时，辨识精度低于极大似然法。(Augmented least squares of recursion algorithm corresponding noise model for moving average noise, expanded parameter vector and data vector H (k) of the dimension, the noise model identification and at the same time into consideration. Least square method can only obtain process model parameter estimation, and augmented least squares method at the same time can obtain noise model parameter estimation, if noise model for the average sliding model,, it can only use RELS algorithm to obtain unbiased estimation. When the data length is bigger, the identification accuracy is lower than maximum likelihood method.)

用Matlab编写的求解高斯线型随机差分方程的离散扩展卡尔曼滤波程序。(Matlab prepared for the linear Gaussian stochastic differential equation expansion of discrete Kalman filter procedures.)

一个在认知无线电中的能量检测和周期检测的仿真源代码(An energy detection and cycle detection in cognitive radio simulation source code)

图像压缩算法的各种算法，用VC++实现，直接可以编译运行(Image compression algorithms algorithms, using VC++ implementation can be compiled to run directly)

摘　要:针对茄子图像的灰度和颜色特点,利用MATLAB中丰富的图像处理函数,分别进行了色差分割和色调分割。在 色调分割中,采用了自动选取阈值的Otsu法。在去除残留噪音的处理中,采用标注的方法对二值图像的各连通区域进行面积 统计。保留最大面积的区域,从而使分割效果大大改善。利用多参数来衡量分割效果,使评价做到最大程度的客观、合理。(Based on the gray- level and color characteristics of eggp lant image, hue and color- difference segmentation were conducted by using the rich image p rocessing functions embedded inMATLAB. The auto threshold- adap tivemethod ofOtsu operation was specially used for hue segmentation. And upon the elimination of the residue noise, labelingmethod for statistical calculation was introduced for the connected regions of the binary image. Themaximum areaswere p reserved to imp rove segmentation effects. In addi2 tion, multi- indiceswere app lied to assess the effect of segmentation, in order to get impersonal and reasonable assessment)