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ipexlucy

于 2011-06-22 发布 文件大小:3KB
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  It is related to image processing

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  • niudunhuan
    主要绘制了牛顿环的光强分布图,光强可在透射与反射箭转换。(The main draw of the Newton ring of light intensity distribution, light intensity can be converted in the transmission and anti-archery.)
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    积分:1
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    2011-01-05 19:58:19下载
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    2011-01-11 22:16:08下载
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    说明:  这个程序对于学习流行学习算法的朋友很有借鉴意义,在matlab上能够运行。(This procedure popular learning algorithm for learning a friend of referential significance, in the matlab able to run.)
    2009-08-30 13:40:51下载
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    进入MatLab程序运行界面后,运行程序,界面会出现请输入NRZ玛,输入方式按数组方式输入,确认输入的NRZ码之后,程序会自动输出 CMI,AMI,HDB3的编码和解码的结果,可以清晰的对照出编码前后的结果。(into MatLab interface operating procedures, operating procedures, the interface will enter emerging NRZ Mary, by the array input mode input and confirm the NRZ, the program will automatically output CMI, AMI, HDB3 encoding and decoding, the results of which will clear up the control of the results before and after encoding.)
    2007-06-02 16:53:46下载
    积分:1
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    粒子群算法OptSwarm记录每个粒子的历史最优解(粒子历史最好的适应度)以及全部粒子搜索到的全局最优解。用Wg代表全局最优解,W.,1代表每个粒子的历史最优解。粒子群初始化阶段表OptSwarm的前N行与表ParSwarm中的相同,而Wg的值为表ParSwarm中适应度值的最大值对应的行。(Particle swarm algorithm OptSwarm record the history of each particle the optimal solution (particles history best fitness), and all the particles of the search to the global optimal solution. Use Wg represents the global optimal solution, w., 1 representative of each particle history to the solution. Particle swarm initial stage OptSwarm table before the line and the table ParSwarm N is same, and the value of the ParSwarm Wg for tables in the maximum fitness value corresponding line. )
    2012-03-21 16:56:36下载
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    2020-12-24 17:09:05下载
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    Image Compressive Sensing Recovery via Collaborative Sparsity
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    数字滤波器的设计及性能比较 用三种方法设计FIR滤波器:窗口法、最大最小误差法、频率采样法;用两种方法设计IIR滤波器:冲激响应不变法、双线性变换法。很全的matlab滤波器程序!( Digital filter design and performance comparison of three methods to use FIR filter design: the window method, the largest minimum error method, frequency sampling method two ways IIR filter design: impulse response of the same law, two and transform. Is the whole process of the matlab filter!)
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