Ex1-wind-power

for capturing the image through webcam

Decompose image into subbands (undecimated wavelet), denoise, and recompose again. fh = decomp_reconst_wavelet(im,Nsc,daub_order,block,noise,parent,covariance,optim,sig) im : image Nsc: Number of scales daub_order: Order of the daubechie fucntion used (must be even). block: size of neighborhood within each undecimated subband. noise: image having the same autocorrelation as the noise (e.g., a delta, for white noise) parent: are we including the coefficient at the central location at the next coarser scale? covariance: are we considering covariance or just variance? optim: for choosing between BLS-GSM (optim = 1) and MAP-GSM (optim = 0) sig: standard deviation (scalar for uniform noise or matrix for spatially varying noise) Javier Portilla, Univ. de Granada, 3/03 Revised: 11/04

通过MATLAB平台对通信仿真，研究讨论Turbo码的编译码结构，四种Turbo码译码算法，讨论Turbo码中几种常见的交织器，利用MATLAB软件平台进行并行级联Turbo卷积码的性能仿真，仿真评估了不同设计参数对Turbo码性能的影响。(Through MATLAB simulation platform for communications, research and discussion Turbo code decoding structure, four kinds of Turbo code decoding algorithm, discuss several common Turbo code interleaver, using MATLAB software platform for parallel concatenated convolutional codes Turbo Performance Simulation , simulation and evaluation of different design parameters on Turbo code performance.)

是本科毕设的题目，验证可用，阵列信号处理的高分辨率估计。( The title of the commercial is undergraduate course you Verification is available, High-resolution array signal processing estimates.)

这里　提供了　罗克韦尔ｌｏｇｉｘ５０００的各种指令集，是利用罗尔韦尔自动化控制者的一个不错的小工具　可以随时查阅这些指令(Rockwell logix5000 here provides a variety of instruction set, is the use of automated control Luoerweier' s a nice little tool to gain access to these instructions)

Matlab simulink 仿真学习ppt，教学用(Matlab simulink simulation study ppt, teaching)

基于时频分析的盲分离。用于处理非平稳信号。里面包含数据文件。(Blind source separation based on the time-frequency analysis. For handling non-stationary signals. Which contains the data files.)

GPS_INS紧耦合组合导航系统研究,对学习组合导航系统有一定的参考价值(GPS_INS tightly coupled integrated navigation system, integrated navigation system for the study has some reference value)

BP（Back Propagation）网络是一种按误差逆传播算法训练的多层前馈网络，是目前应用最广泛的神经网络模型之一。 BP网络能学习和存贮大量的输入-输出模式映射关系，而无需事前揭示描述这种映射关系的数学方程。 它的学习规则是使用最速下降法，通过反向传播来不断调整网络的权值和阈值，使网络的误差平方和最小。BP神经网络模型拓扑结构包括输入层（input）、隐层(hide layer)和输出层(output layer)。 通过对信息的提取以及记忆，用作分类、聚类、预测等。 (BP (Back Propagation) network is a pre-press error back propagation algorithm Multilayer feedforward network, is one of the most widely used neural network model. BP network can learn and store a large amount of input- output mode mapping without prior reveal mathematical equations that describe the mapping relationship. It s learning rule is to use the steepest descent method, by reverse spread to constantly adjust the network weights and thresholds and the minimum sum of squared error of the network. BP neural network topology comprises an input layer (input), hidden layer (hide layer) and an output layer (output layer). By extracting information and memory, it is used as classification, clustering, prediction.)

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