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filter
％ y=filter(sig,fmin,fmax)
％ 对信号进行理想滤波，可完成低通，带通
％ sig为被滤波信号
％ fmin为下限频率，当fmin为0时为低通滤波器，当fmin>0时，为带通滤波器
％ fmax为上限频率，fmax>fmin
％ fs为信号的采样频率
％ y为经过滤波后的信号
(％ Y = filter (sig, fmin, fmax)％ of the ideal signal filtering, to be completed by low-pass, band-pass filter％ sig for signal％ fmin is the minimum frequency, when fmin for 0:00 for the low-pass filter, when fmin > 0, for the bandpass filter％ fmax is the upper limit frequency, fmax> fmin％ fs for signal sampling frequency％ y for the filtered signal)
- 2009-02-14 20:38:28下载
- 积分：1
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fdtd2d_plane_wave_obliq
code about fdtd gooood5
- 2011-07-14 14:55:15下载
- 积分：1
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mp3read
读mp3文件格式的matlab 源程序(Reading of mp3 file format matlab source)
- 2007-07-21 12:03:31下载
- 积分：1
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ceshixitongdonglixue
测试系统动力学主要是解决测试系统的动态性能指标，对动态特性的研究有很大的意义。(Test system dynamics mainly to resolve the dynamic performance measurement system, the dynamic characteristics of a great significance.)
- 2010-09-26 17:40:57下载
- 积分：1
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IEEE802
IEEE802 11b 的物理层仿真程序，绝对可用。希望对你学习IEEE802有所帮助。(IEEE802 11b of the physical layer simulation program is absolutely available. Hope to learn from you IEEE802 help.)
- 2007-06-13 08:21:07下载
- 积分：1
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PSO
PSO algorithm for solving basic question. It combine with c1 and c2, which their sum are between 0 to 4.
- 2013-10-16 00:57:02下载
- 积分：1
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matlab-draw-examples
matlab draw examples
- 2013-10-13 11:08:25下载
- 积分：1
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111
三个遗传算法matlab程序实例，比较实用，希望大家用得到(Three genetic algorithm matlab examples, practical, hope everyone to use
)
- 2013-05-06 10:41:57下载
- 积分：1
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GTF_Features
auditry feture xtrction
- 2013-12-02 11:30:53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
