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tiaozhi
yufengax-----基带
yufengbx-----PSK
yufengcx-----QPSK
yufengdx-----FSK
yufengex-----16QAM
yufengx-----误码率曲线
1----误码率曲线图(yufengax- baseband yufengbx-PSKyufengcx-QPSKyufengdx-FSKyufengex-16QAMyufengx- bit error rate BER curves 1 curve)
- 2008-05-25 23:04:13下载
- 积分：1
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zhuazhen
视频抓帧，抓到连续图像每一帧。适合做视频的朋友(Video frame, catch caught continuous image each frame)
- 2010-01-10 22:36:51下载
- 积分：1
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MATLAB
对采集到的信号进行快速傅里叶变换，可以实现对信号频谱分析(The collected signals fast Fourier transform, spectral analysis of the signal can be achieved.)
- 2021-01-13 10:38:48下载
- 积分：1
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fbb-sensor
fbb sensor qsk based
- 2013-12-10 18:53:06下载
- 积分：1
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Energy_detection_Threhsold_finding_monte1
ENERGY DETECTION THRESHOLD
- 2014-02-16 17:18:39下载
- 积分：1
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Data-Driven Robust Approximate Optimal Tracking论文的实验示例程序
Data-Driven Robust Approximate Optimal Tracking论文的实验示例程序。(Data-Driven Robust Approximate Optimal Tracking paper experimental sample program.)
- 2020-06-27 00:20:01下载
- 积分：1
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matlab+xiangguanziliao
关于matlab的几篇学习资料,提供给大家一起分享,谢谢大家啊!!
(Matlab on a few learning materials available to share, thank you ah!!)
- 2008-12-22 20:00:46下载
- 积分：1
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linear_system_identification.tar
The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order (The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order)
- 2008-08-03 10:18:16下载
- 积分：1
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ProjectionOnConvexSets
重建高分辨率图像使用在凸集投影,高效率matlab程式码(reconstruct high resolution image using Projection On Convex Sets)
- 2010-09-07 12:56:49下载
- 积分：1
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无线网络传感覆盖问题 virtual force matlab
基于虚拟力算法的无线网络传感覆盖问题的MATLAB仿真(MATLAB simulation of wireless network sensor coverage problem based on virtual force algorithm)
- 2021-04-22 11:18:48下载
- 积分：1
