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lms
自适应滤波,LMS算法,matlab编写,线谱提取(Adaptive filtering, LMS algorithm, matlab prepared line spectrum extraction)
- 2013-07-16 14:47:03下载
- 积分:1
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Beams-and-steel-structure
梁与钢架结构,包括平面钢架与空间钢架,混合梁单元(Beams and steel structure,Including flat steel and steel space)
- 2020-07-27 16:18:40下载
- 积分:1
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boxtreen
fast and simple voxel traversal algorithm
- 2010-12-16 19:07:36下载
- 积分:1
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yssy
北京理工大学理学院物理系大学物理演示实验的结果和过程(Beijing University of Technology Department of Physics, Physics Institute of the results and the process of demonstration experiments)
- 2010-03-12 14:59:52下载
- 积分:1
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MATLAB
Opening and closing are compound operators of morphological image processing which can
be used to fill holes in objects and remove small undesirable objects.
- 2015-01-10 15:46:54下载
- 积分:1
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seismic_processing_programme
地震数字处理的基本程序,其中包括滤波褶积,fft,dft,自相关互相关,以及偏移等,对地质学人员比较有用(Digital processing seismic basic procedures, including convolution filter, fft, dft, autocorrelation cross correlation, and offset, etc., more useful for people geology)
- 2013-12-25 15:08:07下载
- 积分:1
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wav_fft_draw
这是用matlab编的代码,实现的功能是可以方便的给定一段信号,画出它的频域的频谱图,对写论文有帮助(This is compiled with the matlab code, function is convenient for a given period of the signal, draw its frequency spectrum chart, to help write the paper)
- 2010-09-10 18:48:16下载
- 积分:1
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ofdm06_parred
ofdm仿真程序,请大家参考。
ofdm仿真程序,请大家参考。(ofdm simulation program, please refer to everyone. ofdm simulation program, please refer to everyone.)
- 2009-04-07 19:59:23下载
- 积分:1
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hill_climbing_method_1D
爬山算法用于一维函数优化的例子,自己原创(Climbing algorithm for one-dimensional function optimization example, your own original)
- 2014-12-19 15:25:08下载
- 积分:1
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HMM-based-valuation-model
给定观测序列 O=O1O2O3…Ot和模型参数λ=(A,B,π),怎样有效计算某一观测序列的概率,进而可对该HMM做出相关评估。例如,已有一些模型参数各异的HMM,给定观测序列O=O1O2O3…Ot,我们想知道哪个HMM模型最可能生成该观测序列。通常我们利用forward算法分别计算每个HMM产生给定观测序列O的概率,然后从中选出最优的HMM模型。(Given the observation sequence O = O1O2O3 ... Ot and model parameters λ = (A, B, π), how to effectively calculate the probability that a single observation sequence, and thus can make the relevant assessment of the HMM. For example, there are a number of different model parameters HMM, given the observation sequence O = O1O2O3 ... Ot, we want to know which model is most likely to generate the HMM observation sequence. Usually we use forward algorithm calculates the probability of a given observation sequence O generated for each HMM, HMM and then to choose the best model.)
- 2015-05-22 04:03:23下载
- 积分:1