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334535224DQPSK
本程序是4dpsk的matlab仿真以及在sinmulink下的建模仿真(This procedure is the matlab simulation 4dpsk as well as in the modeling and simulation sinmulink)
- 2009-05-11 13:30:08下载
- 积分:1
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47765195kalmanfiler
This is a good file.
- 2010-12-20 11:10:28下载
- 积分:1
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Digital-simulation-of-passive-seeker
文章中建立了被动式导引头的模型,并对其仿真分析(Established a model of passive seeker, and the simulation analysis)
- 2021-03-09 10:59:28下载
- 积分:1
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SPM_GVD
半导体激光器中群速度色散各种参数对脉冲宽度的影响(The semiconductor laser group velocity dispersion of various parameters on the pulse width)
- 2015-09-02 13:25:44下载
- 积分:1
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matlab-PLS
很好用,用matlab编的偏最小二乘法,直接在matlab里就可以用。另外带有PLS讲解(Good use, with the partial least squares matlab compiled directly in matlab can be used inside. In addition to explain with PLS)
- 2009-12-23 20:05:02下载
- 积分:1
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WienerScalart96
用实现的维纳滤波器,三个参数分别是信号源,以及作为样本的信号时间(单位秒)(Wiener filter is implemented using matlab. three parameters are the source, fs, as well as samples of the signal time (in seconds))
- 2014-08-12 10:21:49下载
- 积分:1
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heed_matlab
HEED protocol code developed using Matlab
- 2010-11-19 16:08:21下载
- 积分:1
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self_mix
关于半导体激光器 弱反馈情况下的自混合干涉(Semiconductor lasers weak feedback self-mixing interference
)
- 2012-04-11 18:13:47下载
- 积分:1
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RSSI的定位
说明: 基于RSSI的定位,已知发射节点的发射信号强度, 接收节点根据接收信号的强度, 计算出传播损耗, 利用理论的或经验的信号传播模型将传播损耗转化为距离, 然后再计算出节点的位置。(Based on RSSI positioning, the transmitting signal strength of the transmitting node is known, and the receiving node calculates the propagation loss according to the received signal strength. The propagation loss is converted into distance by using the theoretical or empirical signal propagation model, and then the position of the node is calculated.)
- 2020-10-07 11:59:33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