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518854-BandLanczosMethod.f90
lanczos算法 计算矩阵特征值
说明要这么长干嘛，说清楚就好了啊(lanczos algorithm for eigvalue)
- 2009-10-30 11:22:18下载
- 积分：1
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DG-solver
Discontinuous Galerkin finite element code for Hyperbolic (Euler) equation solver in C
- 2014-09-23 03:07:18下载
- 积分：1
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mvdrB
除去接受信号中期望信号的mvdr 自适应波束形成算法（自相关矩阵估计）(Remove accepts signals desired signal mvdr adaptive beamforming algorithm (autocorrelation matrix estimation))
- 2014-01-03 13:06:24下载
- 积分：1
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ber
THIS FILE DESCRIBE THE CALCULATION OF BIT ERROR RATE (BER) OF A MODULATED SYSTEM AND THE PLOT OF THE BER WITH SIGNAL TO NOISE RATIO (SNR) TO EVALUATE THE SYSTEM BEHAVIOR
- 2014-01-17 15:24:06下载
- 积分：1
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MatlabGUI
matlab GUI的使用，对初学者来说是很好的资料。(matlab GUI for use, for beginners is good information.)
- 2010-12-29 21:24:21下载
- 积分：1
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VCPP-Matlab.m
5.1 在VC++中调用Matlab引擎 matlabenginetest目录
5.2 VC++中调用Matlab *.m函数编译后的动态链接库 VC++中调用Matlab .m函数编译后的动态链接库目录(failed to translate)
- 2011-05-06 13:35:36下载
- 积分：1
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cacode
Hi
I like to integrate GPS and INS using kalman filter to predict the
position of a vehicle.
first of all i like to use GPS sensor readings with kalman filter .
I have read lot of research papers for that purpose but I donot know how
to use real time data of GPS sensor in the kalman filter measurement
equation.
My question is that where i have to put the readings the gps sensor
in measurement equation i.e where to put numerical values the sensor
in the measurement equation.how these values make sense.
zk=Hxk+wk
also i like to ask as how can i determine the state transition matrix F
and observation matrix H for a particular application.
also how can i determine the measrement noise matrix the gps sensor.
thanks and regards
- 2014-11-02 11:45:21下载
- 积分：1
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用Welch法进行功率谱估计
考虑L的三个不同值：L＝256（3个数据段），L＝128(7个数据段)和L=64（15个数据段）。各自的谱估计图如上图所示。可以明显的看到，加窗明显的减小了频谱上的假谱峰，但也更加进一步平滑了谱峰。所以，对于L＝64的情况，在ω＝0.8π的谱线可以很确定的辨认，但是那两个靠近的谱峰不容易区分。对于L＝128的情况，这种情况提供了在分离和检测间最好的均衡。当然，对于在L＝256时的情况，效果是更好的，能够从谱估计图上明显的分辨出三条谱线的存在以及它们幅度关系的强弱。 除了Welch法外，还可以采用对多个周期图求平均的功率谱估计方法的其他方法如Bartlett法等等，在功率谱估计上也能取得较好的结果。(consider three different values : L = 256 (3 data), L = 128 (7 data) and L = 64 (15 data). Their spectral estimation map as shown in Fig. It is clear to see that increase significantly decreasing window of the spectrum of false peaks, but much more to further smooth the peaks. Therefore, L = 64, in the case = 0.8 spectrum can determine the identification, but that the two peaks around is not easy to distinguish. L = 128 for the situation, which provided the separation and detection among the best balanced. Of course, L = 256 in the case, the effect is better, from the spectral estimation map clearly distinguish between the three lines of the existence and their relationship to the rate of strength. In addition to Welch law, but also can be used to map multiple cycle for the average power)
- 2005-07-12 11:18:13下载
- 积分：1
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singlefibers
光子晶体光纤仿真模拟 光子晶体光纤仿真模拟 光子晶体光纤仿真模拟( photonic fibers photonic fibersphotonic fibers)
- 2011-08-19 19:41:45下载
- 积分：1
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BPnetandshuzixulianyangben
自编的BP神经网络Matlab程序，可完美运行。还附有0到9训练样本集，供大家参考学习(Self BP neural network Matlab program can be run perfectly. Accompanied by 0-9 training sample set for your learning)
- 2020-12-11 17:59:16下载
- 积分：1
