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Description: TRANSFER MATRIX FORMALISM FOR GRATINGS WITH DEFECTS AND GAIN -TRANSFER MATRIX FORMALISM FOR GRATINGS WI TH DEFECTS AND GAIN
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Author: liuliu |
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Description:
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Author: 王博 |
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Description: fastica 独立成分分析的matlab代码-Independent Component Analysis FastICA matlab code
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Author: 张涛 |
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Description: 產生k個d維的常態分布樣本，產生某個事前機率為P(wi)的常態分布的discriminant
function，計算任兩點間的Euclidean distance及Mahalanobis distance
-Generated k-d-dimensional normal distribution of samples to generate a prior probability P (wi) of the normal distribution of the discriminant function, calculated between any two points in Euclidean distance and Mahalanobis distance
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Author: amy |
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Description: 本程序是在MATLAB平台上，利用智能优化算法遗传算法来解决01背包问题。在0 / 1背包问题中，需对容量为c 的背包进行装载。从n 个物品中选取装入背包的物品，每件物品i 的重量为wi ，价值为pi 。对于可行的背包装载，背包中物品的总重量不能超过背包的容量，最佳装载是指所装入的物品价值最高。-This procedure is in the MATLAB platform using intelligent genetic algorithm optimization algorithm to solve the 01 knapsack problem. In the 0/1 knapsack problem, there is a need for a capacity of c for the loaded backpack. From the n-items, select the items into the backpack, each item i the weight of wi, the value of pi. Feasible for loading backpack, backpack items total weight can not exceed the capacity of backpack, the best load is the value of the items loaded the highest.
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Author: 周薇 |
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Description: matlab中用m文件和Simulink共同实现WIFI的仿真，学习的好资料！-matlab with m documents and a common realization of Simulink simulation WIFI, learning good information!
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Size: 30720 |
Author: 张飞 |
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Description: 使用matlab编写的合成地震记录
里面注释很全的，看看吧，会有用的-synthetic seismogram matlab
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Author: 陆游 |
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Description: anoda great matlab source code.. use at ur free wi-anoda great matlab source code.. use at ur free willl
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Author: vovocals |
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Description: anoda great matlab source code.. use at ur free wi-anoda great matlab source code.. use at ur free willl
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Author: vovocals |
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Description: 我国是世界上小麦种植面积最大和消费最高的国家之一。小麦为国际主粮之一，也是食品工业的重要原料。作为最重要粮食品种之一的小麦，其价值与用途取决于它的品质。因此，基于信号处理技术，研究客观、便捷的小麦品质测定方法对提高小麦品质、减少产后损失、保证国家粮食安全具有十分重要的意义。本课题拟在研究、分析国内外无损检测技术在农产品品质分析应用现状和研究进展的基础上，研究小麦籽粒声信号的预处理方法。根据声学检测原理，研制出小麦籽粒的声信号采集装置，首先采集小麦籽粒下落碰撞所产生的声音信号，对小麦声信号进行编辑和预处理，实验结合信号处理技术及MATLAB软件，对单粒小麦样品的声信号进行谱估计和小波变换，提取出时域和频域特征参数，为探讨小麦声学特性与其品质指标的关系奠定基础。本论文利用MATLAB软件编写小麦声音信号预处理程序，通过对小麦籽粒声信号进行处理，成功的提取出了有效的时域、频域的多种特征参数，为研究其声学特性与小麦品质内在的关系，做了充分的准备工作。-China is one of the countries in the world which has the largest wheat growing area and highest consumption. Wheat is one kind of the staple food in the world and also an important material for food industry. The value of wheat and its use all depends on is quality, To enhance quality of wheat,readuce post harvest loss and ensure grain security, great efforts should be made to develop rapid, objective, and easy methods for assessing wheat quality using signal processing techniques. This paper do the research of wheat signal preconditioning method and it basis of analysis domestic and foreign non-destructive testing technology.According to acoustic detection theory,an equipment of obtaining wheat sound signals is developed. Collecting the dropping voice signals of different varieties of wheat samples.And then do editing and sound signal preprocessing on wheat through signal processing technology.This paper do some research about spectrum estimate and wavelet transform on single wheat wi
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Author: qichao |
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Description: 通过单一的Wi-Fi接入点的信号强度来判断移动物体的位置。比较新的一篇文章。用了蒙特卡罗抽样的办法－Monte Carlo Sampling Method－来估计位置。-This paper describes research towards a system
for locating wireless nodes in a home environment requiring
merely a single access point. The only sensor reading used for
the location estimation is the received signal strength indication
(RSSI) as given by an RF interface, e.g.,Wi-Fi.Wireless
signal strengthmaps for the positioning filter are obtained by
a two-step parametric and measurement driven ray-tracing
approach to account for absorption and reflection characteristics
of various obstacles. Location estimates are then
computed using Bayesian filtering on sample sets derived
by Monte Carlo sampling. We outline the research leading
to the system and provide location performance metrics using
trace-driven simulations and real-life experiments. Our
results and real-life walk-troughs indicate that RSSI readings
from a single access point in an indoor environment
are sufficient to derive good location estimates of users with
sub-room precision.
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Author: weihuagao |
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Description: finite element method- ***********************************************************************
3-D FDTD code with PEC boundaries
***********************************************************************
Program author: Susan C. Hagness
Department of Electrical and Computer Engineering
University of Wisconsin-Madison
1415 Engineering Drive
Madison, WI 53706-1691
hagness@engr.wisc.edu
Copyright 2005
This MATLAB M-file implements the finite-difference time-domain
solution of Maxwell s curl equations over a three-dimensional
Cartesian space lattice comprised of uniform cubic grid cells.
Each unit cell within the Yee lattice contains electric field
components sampled along the edges of the cube and magnetic field
components normal to the faces of the cube (the dual of Fig. 3.1).
To illustrate t
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Author: Hollis |
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Description: object detection matlab files
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Author: sachin |
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Description: SOM神经网络（自组织特征映射神经网络）是一种无导师神经网路。网络的拓扑结构是由一个输入层与一个输出层构成。输入层的节点数即为输入样本的维数，其中每一节点代表输入样本中的一个分量。输出层节点排列结构是二维阵列。输入层X中的每个节点均与输出层Y每个神经元节点通过一权值(权矢量为W)相连接，这样每个输出层节点均对应于一个连接权矢量。
自组织特征映射的基本原理是，当某类模式输入时，其输出层某一节点得到最大刺激而获胜，获胜节点周围的一些节点因侧向作用也受到较大刺激。这时网络进行一次学习操作，获胜节点及其周围节点的连接权矢量向输入模式的方向作相应的修正。当输入模式类别发生变化时，二维平面上的获胜节点也从原来节点转移到其它节点。这样，网络通过自组织方式用大量训练样本数据来调整网络的连接权值，最后使得网络输出层特征图能够反映样本数据的分布情况。根据SOM网络的输出状况，不仅能判断输入模式所属的类别，使输出节点代表某类模式，而且能够得到整个数据区域的分布情况，即从样本数据得到所有数据的分布特征。 -SOM neural network (self-organizing feature map neural network) is an unsupervised neural network. Network topology is an input layer and an output layer. Input layer nodes is the input dimension of the sample, each node represents a component input samples. Output layer nodes are arranged in two-dimensional array structure. X in the input layer and output layer each node of each neuron node Y by a weight (the weight vector as W) is connected, so that each output layer corresponds to a connection node of the right vector.
Self-organizing feature maps of the basic principle is, when each category of inputs into the model, its output layer one node get the maximum boost and win, Huoshengjiedian around Yixiejiedian Yin Zuo Yong Ye Shoudaojiaotai lateral stimulation. Then a learning network operation, the winner node and surrounding nodes in the right direction vector to the input mode to make consequential amendments. When the input mode type changes, the two-dimensional plane of the wi
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Author: leidan |
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Description: a very nice book about wireless communication. contains description about WIFI, Zigbee and wimax. Also contains the simulation of these systems in matlab.-a very nice book about wireless communication. contains description about WIFI, Zigbee and wimax. Also contains the simulation of these systems in matlab.
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Author: WITLAB |
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Description: 适合初学者的matlab书籍，简单易懂，实用性强。-Matlab books for beginners, easy to understand, practical.
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Author: zhang yajuan |
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Description: Yong Soo Cho_MIMO-OFDM Wireless Communications with MATLAB
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Author: bresai |
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Description: A Matlab/Octave Simulation Environment for
SDR with application to OFDM and MIMO
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Author: John |
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Description: 多个信道模型仿真模型MATLAB源码，包括自由空间路径损耗函数、Okumura-Hata模型、COST231-WI视距模型、COST231-WI非视距模型、Rayleigh信道及COST-231 Hata模型等。-Multiple chanel model simulation with MATLAB code, include wireless_free_space_attenuation model, Okumura-Hata model, COST231-WI LOS model, COST231-WI NLOS model, Rayleigh model, etc al.
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Author: 王秋才 |
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Description: 利用MATLAB 实现Floyd 算法，可对输入的邻接距离矩阵计算图中任意两点间的最短距离矩阵和路由矩阵，且能查询任意两点间的最短距离和路由。 用MATLAB 仿真工具实现Floyd 算法：给定图G 及其边(i , j )的权
wi , j (1≤i≤n ,1≤j≤n) ，求出其各个端点之间的最小距离以及路由。
-Floyd achieved using MATLAB algorithms for the shortest distance routing adjacency matrix and distance matrix calculation map between any two points in the input matrix, and can query the shortest distance and route between any two points. Implemented in MATLAB simulation tools Floyd algorithm: G and its edge (i, j) of a given graph right wi, j (1 ≤ i ≤ n, 1 ≤ j ≤ n), find the minimum distance between the endpoints and each of its route.
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Author: 龙田隆 |
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