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project3
设计一个简单的以太网测试仪器，可以根据配置生成各种模式的以太网数据报文，并对接收到的以太网数据进行统计(Design a simple Ethernet test equipment that can generate a variety of modes depending on the configuration of Ethernet data packets, and receive Ethernet data statistics)
- 2010-06-12 09:18:43下载
- 积分：1
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Adaptive
自适应讲述了滤波的原理及matlab例程，详尽的讲解，很细致，每一步都很清晰！(Adaptive about filtering principle and Matlab routines, detailed explanations, very detailed, each step is very clear!)
- 2012-05-18 16:45:55下载
- 积分：1
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Fuzzy-rule-extractor
the code extract rules for a fuzzy system from a time series
- 2014-08-22 12:05:27下载
- 积分：1
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bp-3d
机载下视三维合成孔径雷达仿真，BP算法，发射线性调频信号(Airborne 3D SAR imaging simulation, BP algorithm, transmitting LFM signal)
- 2018-05-19 18:16:08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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kalman programmer
说明： matlab状态方程的设计和一个自己编的小小的filter文件请指教！！1(Matlab equation of state of their own design and a series of small filter paper please enlighten! ! 1)
- 2005-12-04 14:51:11下载
- 积分：1
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matlab
主要是关于一些matlab的常用函数的说明，其实用途(some matlab function)
- 2011-09-11 22:34:07下载
- 积分：1
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ErlangB
通信业务量分析理论中的话务量分析预测Erlang B公式中，话务量，出线容量，阻塞率，三者关系。(Communication traffic analysis theory of traffic analysis and forecast Erlang B formula, traffic, outlet capacity, blocking rate, the relationship among.)
- 2020-11-20 22:29:37下载
- 积分：1
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Bayesian
基于贝叶斯理论，针对五层框架结构，利用模型更新的原理对结构物理参数进行识别(Based on the Bayesian theory, the structural physical parameters are identified by the principle of model updating for the five-layer frame structure)
- 2017-05-11 10:16:33下载
- 积分：1
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xbzqqz
利用小波变换进行图像灰度增强，其中与直方图，中值滤波图像处理进行了对比(Using wavelet transform image gray enhanced, including histograms, median filter image processing were compared)
- 2012-06-04 22:05:27下载
- 积分：1
