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fit_ML_laplace
fit_ML_normal - Maximum Likelihood fit of the laplace distribution of i.i.d. samples!.
Given the samples of a laplace distribution, the PDF parameter is found
fits data to the probability of the form:
p(x) = 1/(2*b)*exp(-abs(x-u)/b)
with parameters: u,b
format: result = fit_ML_laplace( x,hAx )
input: x - vector, samples with laplace distribution to be parameterized
hAx - handle of an axis, on which the fitted distribution is plotted
if h is given empty, a figure is created.
output: result - structure with the fields
u,b - fitted parameters
CRB_b - Cram?r-Rao Bound for the estimator value
RMS - RMS error of the estimation
type - ML
- 2011-02-09 19:06:32下载
- 积分：1
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calculatecorrelationdimention
采用MATLAB编程用GP方法计算关联维的源代码(MATLAB programming method used GP correlation dimension of the source code)
- 2006-12-11 21:04:05下载
- 积分：1
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2008082323160366
也是仿真的资料,是学仿真的好资料,你看看是应该不错的.(Also the simulation data is a good learning simulation, you look good.)
- 2013-02-28 11:06:39下载
- 积分：1
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eda_8
edfa edfrnrt utnuh u h u yhu ub(unènn unu(nu(
- 2013-09-18 20:39:09下载
- 积分：1
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[codes]NIN
是2014年的cnn上的一个变化的网络，将卷积层与池化层之间的线性关系变成1×1的卷积层的非线性关系，名为network in network(Is a change in the 2014 cnn on the network layer of the linear convolution and pooled into a non-linear relationship between the layers 11, convolution layer, called the network in network)
- 2014-12-04 09:39:35下载
- 积分：1
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machine-precision
数值计算中机器精度的确定算法 MATLAB源程序 自带注释(machine precision)
- 2014-02-05 18:25:01下载
- 积分：1
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Matlab runcode
EMD（经验模态分解，全称Empirical Mode Decomposition，一般指EMD算法）是Hilbert-Huang变换（HHT）的核心算法。
经验模态分解(EMD)算法是通过算法过程定义的，而并非由确定的理论公式定义的，所以对其进行准确的理论分析非常困难，我们目前只能借助大量的数字仿真试验不断对其性能进行深入的研究。 EMD算法的目的在于将性能不好的信号分解为一组性能较好的本征模函数（IMFIntrinsic Mode Function ），且IMF须满足以下两个性质：
(1)信号的极值点(极大值或极小值)数目和过零点数目相等或最多相差一个；
(2)由局部极大值构成的上包络线和由局部极小值构成的下包络线的平均值为零。
EMD算法的计算步骤如下：
（1）找出原数据序列X(t)的所有极大值点和极小值点，将其用三次样条函数分别拟合为原序列的上和下包络
线；上下包络线的均值为m1；将原数据序列减去m1可得到一个减去低频的新序列h，即h1=X(t)－m1；
一般h1不一定是平稳数据序列，为此需对它重复上述过程。如h1的包络均值为m11，则去除该包络平均所代表的低频成分后的数据序列为h11，即h11=h1－m11
重复上述过程，这样就得到第一个本征模函数分量c1，它表示信号数据序列最高频率的成分。(EMD (Empirical Mode Decomposition, generally referred to as EMD Algorithm) is the core algorithm of the Hilbert-Huang Transform (HHT).
The Empirical Mode Decomposition (EMD) algorithm is defined by the algorithm process and is not defined by the definite theoretical formula. Therefore, it is very difficult to conduct accurate theoretical analysis on it. We can only rely on a large number of digital simulation tests to continuously evaluate its performance. Conduct in-depth research. The purpose of the EMD algorithm is to decompose a signal with poor performance into a set of better-performing IMMF ntrinsic mode functions, and the IMF must satisfy the following two properties:
(1) The number of extreme points (maximum or minimum values) of the signal and the number of zero-crossings are equal or at most one difference;)
- 2018-04-03 21:20:56下载
- 积分：1
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ac_foc_book
说明： 异步电机矢量控制，异步电动机具有非线性、强耦合、多变量的性质，要获得高动态调速性能，必须从动态模型出发，分析异步电动机的转矩和磁链控制规律，研究高性能异步电动机的调速方案。矢量控制系统和直接转矩控制系统是已经获得成熟应用的两种基于动态模型的高性能交流电动机调速系统。矢量控制系统通过矢量变换和按转子磁链定向，得到等效的直流电动机模型，然后模仿直流电动机的控制策略设计控制系统。(Vector control of asynchronous motor, asynchronous motor has the characteristics of non-linear, strong coupling and multi variable. In order to obtain high dynamic speed regulation performance, we must start from the dynamic model, analyze the torque and flux control law of asynchronous motor, and study the speed regulation scheme of high-performance asynchronous motor. Vector control system and direct torque control system are two kinds of High-Performance AC motor speed control system based on dynamic model, which have been widely used. The vector control system obtains the equivalent DC motor model through vector transformation and rotor flux orientation, and then designs the control system by imitating the control strategy of DC motor.)
- 2020-05-20 21:21:51下载
- 积分：1
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modulation
bpsk/qpsk/16qam/64qam
- 2010-04-20 22:13:55下载
- 积分：1
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DCTlicheng
研究表明，构成K一L变换矩阵的向量也就是ToePhtz矩阵的特征向量。与此同时，离散
余弦变换矩阵逼近于ToePutz矩阵的特征向量矩阵，所以离散余弦变换矩阵与自然图像的
K一L变换矩阵十分相似。经过离散余弦变换后的变换系数块的协方差矩阵Cy非常接近对角
阵，即除了对角线元素以外，其它很多元素都近似为0，并且在左上角集中了主要能量。这
反映了自然图像大部分区域变化不大，亮度突变只占少数，即图像能量以低频成分为主的特
性。通过变换后的量化，舍弃对视觉效果影响较小的次要信息，可达到进一步的压缩效果。
虽然从去相关性能的意义上讲，DCT是一种次于K一L变换的准最佳变换，但是从算法实现的角度来看，DCT则远远优于K一L变换。首先，当图像的分块大小确定后，DCT的变换矩阵也就随之确定了，不随输入信号的统计特性变化而变化 其次，二维DCT能够分解成两次一维DCT，有利于硬件实现。
(Studies have shown that constitute a K L transformation matrix vector is ToePhtz eigenvector of the matrix. At the same time, discrete
The cosine transform matrix approximation in ToePutz matrix eigenvector matrix, so the discrete cosine transform matrix and natural images
Is very similar to a K L transformation matrix. After discrete cosine transform, the transform coefficient block of Cy is very close to the diagonal of covariance matrix
Matrix, namely except diagonal elements, many other elements are approximate to 0, and focused the main energy in the upper left corner. this
Reflects the natural images most area changed little, brightness mutations accounted for only a few, the energy is given priority to with low frequency components of image
Sex. Through quantitative after transformation, abandoning smaller effect on the visual performance of secondary information, can achieve further compression effect.
Although from related to the performance of the sense, DCT is a kind o)
- 2013-11-25 16:00:24下载
- 积分：1
