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viterbi_decoder
维特比译码,带有较为完整的说明,适合初学者使用(Viterbi decoding, with a more complete description for beginners)
- 2011-11-08 22:02:27下载
- 积分:1
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Depth_Map_Aligner
Depth_Map_Aligne主要用于深度图的后期处理,是深度图后期处理不可少得工具。(Depth_Map_Aligne mainly used for post-processing the depth map, depth map is very essential tool for post-processing.)
- 2011-12-01 19:58:07下载
- 积分:1
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CPD2
cpd- affine transform image restoration
- 2010-01-02 23:50:42下载
- 积分:1
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GCME
这个程序是用列主元高斯消去法求解线性方程组的通用程序(This program is the main element out Gaussian elimination for solving linear equations of the general program)
- 2010-12-29 00:17:01下载
- 积分:1
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the-code
低通巴特沃斯滤波器设计求阶数,适合广大学生们参考,(Low-pass Butterworth filter design requirements order, for the majority of students reference)
- 2013-09-03 13:00:02下载
- 积分:1
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1-aplikasi-penjualan
Yeah I actually fixed it by moving a bunch of stuff to onResume(). There are also a number of other bugs I found in this code posted here (which was based on even buggier code) that I will post as soon as I get them all fixed. The first one that comes to mind is that in the try block it needs to check if c is null. Another one is that there is no error handling for a source going down midstream
- 2015-03-27 00:50:12下载
- 积分:1
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besimu_ray
用matlab实现瑞利信道的仿真,分析该信道下系统的误码性能(Rayleigh channel simulation using matlab, system error performance analysis of the channel)
- 2013-04-02 13:27:28下载
- 积分:1
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SPWVD
时频分析方法中的平滑威格尔分布,可用于信号处理。(Time frequency analysis of spWeigel distribution method, which can be used for signal processing.)
- 2015-03-20 14:40:08下载
- 积分:1
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white noise excitation
说明: 三层框架白噪声激励模态分析,激励频段0-100hz(Modal Analysis of White Noise Excitation for Three-storey Frame)
- 2020-06-29 22:00:01下载
- 积分:1
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EMALGORITHM
In statistics, an expectation-maximization (EM) algorithm is a method for finding maximum likelihood or maximum a posteriori (MAP) estimates of parameters in statistical models, where the model depends on unobserved latent variables. EM is an iterative method which alternates between performing an expectation (E) step, which computes the expectation of the log-likelihood evaluated using the current estimate for the latent variables, and a maximization (M) step, which computes parameters maximizing the expected log-likelihood found on the E step. These parameter-estimates are then used to determine the distribution of the latent variables in the next E step.
- 2010-12-14 17:04:44下载
- 积分:1