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dibr
用matlab实现基于DIBR的虚拟视点图像绘制技术，完成虚拟视点图像生成。(failed to translate)
- 2013-05-09 00:12:56下载
- 积分：1
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interpolation
通信系统仿真时使用的插值程序，对仿真的BLER进行有效的插值，可以估计出不能仿真到的点。可以对仿真进行预测(Communication System Simulation interpolation procedures used for simulation BLER effective interpolation, can not be estimated from the simulation point. Simulation can predict)
- 2007-12-04 20:24:35下载
- 积分：1
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tangpeng
针对EMD方法的不足,计算目标和海洋回波的功率谱密度,电力系统暂态稳定程序，可以进行暂态稳定计算。( For lack of EMD, Calculating a target and ocean echo power spectral density, Power System Transient Stability Program, can be transient stability.)
- 2016-09-28 21:37:41下载
- 积分：1
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digital_signal_processing
给出了数字信号处理课程设计的基本程序，包括采样、快速傅里叶变换、功率谱分析等。(Give a digital signal processing of the basic procedures for curriculum design, including sampling, fast Fourier transform, power spectrum analysis.)
- 2009-03-30 15:46:06下载
- 积分：1
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model3b
数学建模清华数模讲义\model3b (Mathematical modeling Qinghua digital-analog handouts model3b)
- 2010-01-13 23:22:49下载
- 积分：1
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GenGMSK2
gmsk调制程序，matlab仿真程序，可以叠加程序(gmsk transform program, matlab simulation program, the program can be superimposed)
- 2013-12-07 16:05:42下载
- 积分：1
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DCC
Image zooming using directional cubic convolution interpolation
- 2013-12-11 01:25:10下载
- 积分：1
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model
可以对某一块海洋区域进行纵切断面，并在一张图上生成几个图片(Can conduct a longitudinal section of a marine areas, and generate a few pictures on a map)
- 2013-12-20 15:19:24下载
- 积分：1
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K-meanCluster
How the K-mean Cluster work
Step 1. Begin with a decision the value of k = number of clusters
Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following:
Take the first k training sample as single-element clusters
Assign each of the remaining (N-k) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster.
Step 3 . Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample.
Step 4 . Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments. (How the K-mean Cluster workStep 1. Begin with a decision the value of k = number of clusters Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following: Take the first k training sample as single-element clusters Assign each of the remaining (Nk) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster. Step 3. Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample. Step 4. Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments.)
- 2007-11-15 01:49:03下载
- 积分：1
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Vibration_Simulation_Using_Matlab_and_ANSYS
说明： 利用MATLAB进行、强度和动力学分析(The use of MATLAB, the intensity and dynamics analysis)
- 2008-11-16 21:08:52下载
- 积分：1
