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QoS-Multicasting
A Multi-Objective Pareto-Optimal Genetic Algorithm for QoS Multicasting
- 2011-05-14 18:57:42下载
- 积分：1
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Online-ordering-and-inventory-system
Online ordering and inventory system
- 2014-10-17 15:35:42下载
- 积分：1
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BLDC
说明： 分别建立pid控制与模糊PID控制的BLDC仿真模型，对比效果良好(BLDC simulation models of PID control and fuzzy PID control are established respectively, and the comparison results are good.)
- 2019-04-20 11:56:57下载
- 积分：1
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FDTD1_9
FDTD for Wave equation3
- 2009-11-17 22:59:02下载
- 积分：1
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APSKanalyze
本程序主要对APSK信号进行了定性分析，对其星座进行优化设计，得出最佳设计。(the main procedures of APSK signal a qualitative analysis, Constellation optimize its design, The optimum design.)
- 2007-01-03 10:14:47下载
- 积分：1
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cj673
基于人工神经网络的常用数字信号调制，isodata 迭代自组织的数据分析，现代信号处理中谱估计在matlab中的使用。( The commonly used digital signal modulation based on artificial neural network, Isodata iterative self-organizing data analysis, Modern signal processing used in the spectral estimation in matlab.)
- 2017-05-08 14:40:34下载
- 积分：1
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粒子群算法
用改进的粒子群算法对基于非对角MAC矩阵元素均值最小目标函数为目标函数，以简支梁前三阶模态振型为原始数据对简支梁进行传感器优化布置。(The objective function based on the average minimum objective function of the non-diagonal MAC matrix elements is studied by the improved particle swarm algorithm.)
- 2018-09-01 19:22:50下载
- 积分：1
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fdtd3Dplanewave
PML边界的三维FDTD的matlab程序(3D FDTD program with PML ABC)
- 2011-05-11 20:10:28下载
- 积分：1
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LTE-Simulation
. The reference simulator can be used to measure and plot the network capacity performance and signal to interference ratio (SIR) performance of LTE networks with the integer frequency reuse scheme with reuse factor 1 (IFR-1). Frequency reuse scheme with reuse factor 1 means that the available frequency resource is used by all the cells in the LTE network. You are advised to refer to the relevant slides of lecture 5 to get more information on the method used to calculate the SIR and capacity performances.
The system level LTE is consisted of two Matlab script files (LTE_main.m, LTE_configuration.m), three Matlab function files (LTE_IFR_sim_dist.m, LTE_IFR_sim_netwide.m, LTE_IFR_plot.m) and one Matlab mat file (bs_user_position.mat).
- 2014-09-06 22:08:50下载
- 积分：1
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Connected-Component-based-text-region-extraction
The basic steps of the connected-component text extraction algorithm are given below,
and diagrammed in Figure 10. The details are discussed in the following sections.
1. Convert the input image to YUV color space. The luminance(Y) value is used for
further processing. The output is a gray image.
2. Convert the gray image to an edge image.
3. Compute the horizontal and vertical projection profiles of candidate text regions
using a histogram with an appropriate threshold value.
4. Use geometric properties of text such as width to height ratio of characters to
eliminate possible non-text regions.
5. Binarize the edge image enhancing only the text regions against a plain black
background.
6. Create the Gap Image (as explained in the next section) using the gap-filling
process and use this as a reference to further eliminate non-text regions the
output.
- 2014-12-16 00:41:34下载
- 积分：1
