-
5
说明： matlab科学计算继续上传，一共10个章节，由浅入深，几乎包括了绝大部分的科学计算方法以及仿真。本人把部分算法做了优化，更为完善(matlab scientific computing continue to upload a total of 10 chapters, easy-to-digest, almost, including most of the scientific method of calculation and simulation. I have done a part of algorithm optimization, a more perfect)
- 2008-12-25 16:29:42下载
- 积分：1
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qpsk
本程序实现QPSK信号，通过瑞利信道后的各部分星座图(The program QPSK signal, Rayleigh channel through each part of the constellation after)
- 2021-04-28 20:18:43下载
- 积分：1
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psk
现代通信越来越依靠全数字处理技术, 通信系统中的全数字调制解调意味着发射机
及接收机将全部采用数字信号处理(DSP) 算法, 从而整个通信系统就可以用DSP 芯片或超
大规模集成电路(VL S I) 器件来实现。对全数字BPSK 调制解调系统采用计算机仿真的方法
进行研究能清楚地了解通信系统中所运用的数字信号处理技术, 包括信息源、发送和接收
滤波器、内插器以及判决器等全部采用数字信号处理算法来实现。文章给出了BPSK 调制
解调系统各个模块的算法和结构, 运用MA TLAB 软件进行了仿真, 得出了各个部分的时域
和频域波形图, 系统仿真的设计方法对Q PSK、16QAM 等全数字调制解调系统的硬件实现
具有实际的指导意义。()
- 2008-05-08 09:39:12下载
- 积分：1
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motaipinyu
模态参数频域识别，是指在频率域内识别试验结构模态参数的方法。(The frequency domain modal parameter identification, is the recognition test in the frequency domain method of structural modal parameters.)
- 2010-02-02 14:42:10下载
- 积分：1
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FTL
is a matlab code for node interaction.....
- 2013-04-06 17:08:32下载
- 积分：1
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exam4_2
结构分析的有限元与matlab一书中的源代码第四部分，二维线弹性有限元(originnl programs in the book of finite element method in structure analyses and matlab programming part 4)
- 2012-10-17 21:51:45下载
- 积分：1
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LMS
介绍lms算法的基本原理，用matalb编程，并给出了运行结果(Introduce the basic principles of LMS algorithm, using matalb programming, and give the results)
- 2009-03-14 16:22:22下载
- 积分：1
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00k
2ask的产生与接收，使用匹配滤波器，无需同步。运用MATLAB运行(2ask generation and reception, using the matched filter, without synchronization. Run using MATLAB)
- 2010-10-22 20:02:48下载
- 积分：1
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wind-stat
此程序为统计风电出力差的概率密度，已有excel文件可以替换为自己数据。概率和为1(This procedure for wind power output difference of statistical probability density, existing excel file can be replaced with your own data. Probability is 1)
- 2015-01-08 15:36:50下载
- 积分：1
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VistaRestoreTools1.0
denoise
In BayesShrink[5] we determine the threshold for
each subband assuming a Generalized Gaussian
Distribution(GGD) . The GGD is given by
GG¾ X ¯ (x) = C(¾ X ¯ )exp¡ [® (¾ X ¯ )jxj]¯ (6)
¡ 1 < x < 1 ¯ > 0, where
® (¾ X ¯ ) = ¾ ¡ 1
X [ ¡ (3=¯ )
¡ (1=¯ ) ]1=2
and
C(¾ X ¯ ) = ¯ ¢ ® (¾ X ¯ )
2¡ ( 1
¯ )
and ¡ (t) =
R1
0 e¡ uut¡ 1du.
The parameter ¾ X is the standard deviation and ¯
is the shape parameter It has been observed[5] that
with a shape parameter ¯ ranging from 0.5 to 1, we
can describe the the distribution of coefficients in a
subband for a large set of natural images.Assuming
such a distribution for the wavelet coefficients, we empirically
estimate ¯ and ¾ X for each subband and try
to find the threshold T which minimizes the Bayesian
Risk, i.e, the expected value of the mean square error.
- 2012-06-08 01:38:48下载
- 积分：1
