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problem-1
assignmant for array antenna
- 2012-04-17 11:11:54下载
- 积分:1
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shuzixinhaochuli
自己编的,数字信号处理实验的源代码,实现维纳滤波和预测功能(Own series, digital filter design using Wiener filtering methods.)
- 2013-03-02 14:51:44下载
- 积分:1
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The-robot-arm
基于matlab仿真的机器人手臂研究,包含有手动及自动运行两种运行模式。(Research of robot arm based on MATLAB simulation, including manual and automatic operation two kinds of operation mode.
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- 2015-01-08 21:40:35下载
- 积分:1
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HardwareInterfacing-master
说明: FGDFJSDVKJWBLVWBVWKEVNWEJKVWqleK
- 2019-03-28 04:09:08下载
- 积分:1
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programming_tips
programing tips which is so useful in matlab programing particularlly in Control engineering.
- 2011-10-13 18:06:50下载
- 积分:1
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paper5
5.采用概率密度比值估计的距离度量学习.rar(5.Probability density ratio is estimated using a distance metric learning.rar)
- 2014-08-27 20:23:23下载
- 积分:1
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hsmm
说明: 隐马尔科夫模型是关于时序的概率模型,描述由一个隐藏的马尔科夫链随机生成不可观测的状态随机序列,再由各个状态生成一个观测而产生观测序列的过程。隐藏的马尔科夫链随机生成的状态的序列,称为状态序列;每个状态生成一个观测,而由此产生的观测的随机序列,称为观测序列。马尔科夫链由初始概率分布、状态转移概率分布以及观测概率分布确定(The hidden Markov model is a probabilistic model for time series. It describes the process of randomly generating unobservable state random sequences from a hidden Markov chain, and then generating an observation by each state to produce an observation sequence. A sequence of randomly generated states of hidden Markov chains, called a sequence of states; each state produces an observation, and the resulting random sequence of observations is called an observation sequence. Markov chain is determined by initial probability distribution, state transition probability distribution and observation probability distribution)
- 2019-05-27 12:01:38下载
- 积分:1
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N-sparse
创建一个n维的稀疏数组对象,n是任意值。 定义N可能是大于2的一类n维稀疏阵列。然而,它应该被认为是一种起动方式与普通的MATLAB稀疏矩阵和重塑它有N维度。换句话说,稀疏的数据,首先必须能够作为一个普通的2D MATLAB稀疏矩阵被前n维。事实上,如果目标数组的尺寸mxnxp……yxz,然后将它存储在内部类是一个普通的二维稀疏阵列的尺寸(M×N×P×……×Y)XZ。这导致了某些内存株时使用大量的尺寸。我发现有用的类主要用于中等尺寸像三维图像边缘检测,你经常要举行一个稀疏的3D的边缘地图。(Creates an N-dimensional sparse array object, for arbitrary N.This submission defines a class of N-dimensional sparse arrays for N possibly greater than 2. However, it should really be thought of as a way of starting with an ordinary MATLAB sparse matrix and reshaping it to have N dimensions. In other words, the sparse data must first be able to exist as an ordinary 2D MATLAB sparse matrix before being made N-dimensional. In fact, if the intended array has dimensions MxNxP...YxZ, then the class will store it internally as an ordinary 2D sparse array of dimensions (M*N*P*...*Y)xZ. This leads to certain memory strains when using large numbers of dimensions. I find the class useful mainly for moderate dimensional things like edge detection in 3D imaging, where you often want to hold a sparse 3D edge map.
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- 2013-10-21 20:43:18下载
- 积分:1
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classdef.cpp
ActiveMng.cpp MuOnline,DataServer,SourceCode for MuOnline DataServer (zTeam_24.10.13_S6_3)
- 2014-12-04 07:44:58下载
- 积分:1
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svm_model
space vector modulation for three phase induction motor open loop operation
- 2010-02-26 16:54:23下载
- 积分:1