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ofdm2
在qpsk调制下实现ofdm的仿真 信道是高斯信道(qpsk ofdm awgn)
- 2011-05-05 16:00:09下载
- 积分：1
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multi-relay-cooperative-communication
This program describe a stimulation which is in Part 1: No-Relay Transmitted power. In part 2 Relay Transmitted Power (Two-hop transmission)
and in Part 3: Plot the graph Simple Relay , No Relay , Optimum Power level
- 2013-04-22 17:53:38下载
- 积分：1
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lectures_CS
压缩感知理论的讲座（共8讲），很好的学习资料，含在语音、图像和雷达领域的应用示例。(The lectures regarding compressive sensing consist of 8 articles which indroduce the fundamental and applications on speech,image and radar.
)
- 2014-10-31 20:46:46下载
- 积分：1
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IntGaussLager
高斯-拉盖尔公式的MATLAB代码。。。。。。。。。。(Gauss- Laguerre formula MATLAB code. . . . . . . . . .)
- 2009-04-30 08:45:14下载
- 积分：1
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MandelbrotSetWithXWindow
用XWindow绘制曼德博罗集，可以缩放显示，参数调整简单，附有详细说明文档。(Draw Mandelbrot Set with X-Window on Linux, can be printed with different scale, parameters can be modified with ease. Readme document attached.)
- 2014-10-31 20:44:45下载
- 积分：1
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p02
digital band-pass filter with a bandwidth of 100 Hz, mean frequency 250 Hz, 0.1 db
- 2009-10-13 21:38:06下载
- 积分：1
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canister_modified
file for flow of fluid inside matrials
- 2011-07-25 17:06:39下载
- 积分：1
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ensemble
This code for ensemble kalman filter
- 2012-08-10 00:33:18下载
- 积分：1
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NSGA
说明： 多目标遗传算法是NSGA-II[1]（改进的非支配排序算法）,该遗传算法相比于其它的多目标遗传算法有如下优点：传统的非支配排序算法的复杂度为 ，而NSGA-II的复杂度为 ，其中M为目标函数的个数，N为种群中的个体数。引进精英策略，保证某些优良的种群个体在进化过程中不会被丢弃，从而提高了优化结果的精度。采用拥挤度和拥挤度比较算子，不但克服了NSGA中需要人为指定共享参数的缺陷，而且将其作为种群中个体间的比较标准，使得准Pareto域中的个体能均匀地扩展到整个Pareto域，保证了种群的多样性。（消除了共享参数）。(Multi-objective genetic algorithm is nsga-ii [1] (improved non-dominant sorting algorithm), which has the following advantages compared with other multi-objective genetic algorithms: the complexity of the traditional non-dominant sorting algorithm is, while the complexity of nsga-ii is, where M is the number of objective functions and N is the number of individuals in the population.The introduction of elite strategy to ensure that some good individuals in the evolutionary process will not be discarded, thus improving the accuracy of the optimization results.The comparison operator of crowding degree and crowding degree not only overcomes the defect that NSGA needs to specify the Shared parameter artificially, but also takes it as the comparison standard between individuals in the population, so that individuals in the quasi-pareto domain can uniformly expand to the whole Pareto domain, ensuring the diversity of the population.(eliminating Shared parameters).)
- 2020-02-13 19:30:43下载
- 积分：1
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adpcm
Matlab code for implementing ADPCM modulation in an efficient manner
- 2010-03-12 16:23:11下载
- 积分：1
