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music
现代信号谱分析music MATLAB 算法例程(spectral analysis of signals)
- 2012-05-11 14:29:42下载
- 积分：1
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SINE_SIGNAL_SEPARATION
基于k-l分解算法的正弦信号分离算法，用于实现强背景噪声下正弦信号恢复(Sine signal separation algorithm based on k-l expansion algorithm ,which is useful in sine signal getting from strong background noise)
- 2013-12-16 16:05:44下载
- 积分：1
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matlabfile
many matlab code with Fftseq ,uniform to gauss
AM DSB FM modulation
- 2009-12-20 14:06:57下载
- 积分：1
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yichuansuanfa
一个遗传算法解决最短路径的算法，可以运行，可参考垃圾收运的质料学校(A genetic algorithm to solve the shortest path algorithm, can run, refer to the material that the garbage collector
)
- 2014-08-30 03:32:56下载
- 积分：1
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power_flow
基于牛顿-拉夫逊算法的电力系统潮流计算，简单易懂。(The power flow calculation based on Newton-Raphson algorithm, which is easy to understand.)
- 2014-09-21 20:19:46下载
- 积分：1
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jingdian
经典伪彩图，功率谱，很有意思，也很有用希望对大家有帮助。(typical power spectrum,very intresting,i hope everyone will love it.)
- 2014-11-01 12:58:58下载
- 积分：1
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stm32f4_mpu9250-master
所有数据融合（包括dmp输出数据，如加速度计数据，
陀螺仪，6轴四元数和内部磁力计数据）通过7态13测量
EKF（扩展卡尔曼滤波器）/无限卡尔曼滤波器（UKF）/ Cubature卡尔曼滤波器（CKF）算法/
平方根均方卡尔曼滤波器（SRCKF）算法。(All data fusion (including the data of dmp output, such as the accelerometer data,
gyroscope, 6-axis quaternion and internal magnetometer data) via a 7-state, 13-mesurement
EKF(Extended Kalman filter)/Unscented Kalman Filter(UKF)/Cubature Kalman Filters (CKF) Algorithm/
Square-Root Cubature Kalman Filters (SRCKF) Algorithm.)
- 2017-03-10 20:56:33下载
- 积分：1
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partiald
KPCA原始程序，可用于故障诊断，并附有T2和SPE诊断图(KPCA original program can be used for fault diagnosis, together with the T2 and SPE diagnostic diagram)
- 2021-04-12 15:08:57下载
- 积分：1
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codeandmodle
这是MATLAB的一些源码及建立的模型对学习MATLAB有一定的帮助(This is the MATLAB source code and the establishment of a number of models of learning will certainly help with MATLAB)
- 2009-05-06 11:42:24下载
- 积分：1
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kmeans
k-means 算法接受参数 k ；然后将事先输入的n个数据对象划分为 k个聚类以便使得所获得的聚类满足：同一聚类中的对象相似度较高；而不同聚类中的对象相似度较小。聚类相似度是利用各聚类中对象的均值所获得一个“中心对象”（引力中心）来进行计算的。(K-means algorithm accept parameter k Then will the n of prior input data object is divided into k clustering to make won clustering meet: the same clustering the object in the similarity is higher And different clustering the object in the smaller similarity. Clustering similarity is using the cluster of the object in the mean gained a "center object" (the center of gravity) to calculate.
)
- 2011-06-26 19:51:58下载
- 积分：1
