多目标粒子群算法 MOPSO

checking the area of with respect to power quality parameter

毕设的题目，LTE无线信道建模，通过MATLAB仿真了包括多径信道，考虑了多普勒频移以及瑞利信道，考虑了 bkNLca参数以及 vTZKGVG衰落的多参数信道模型，调试正常。?(Complete set of topics, LTE channel modeling, simulation by MATLAB, including multipath channel, taking into account the Doppler shift and Rayleigh channel, considering the bkNLca parameter and multi-parameter vTZKGVG fading channel model, debugging normal.)

segmenting the audio signal using this m file

给水管网优化课本中的例题。计算井水管网的汇水管的水头损失。并且有图。(calculate the head lost of pipe net .)

Genetic Algorithm for WSN

特徵粹取（feature extraction）是特徵選取（feature selection）的延伸，簡單地說，我們希望將資料群由高維度的空間中投影到低維度的空間，因此，我們必須找出一組基底向量（base）來進行線性座標轉換，使得轉換後的座標，能夠符合某一些特性。 我們可以將特徵粹取分成「包含類別資訊」和「不包含類別資訊」兩大類。包含類別資訊指的是我們已經知道哪些資料分別歸屬於哪一類；而不包含類別資訊的特徵粹取則適用於我們不知道手上的資料點分別該歸屬於哪一類，甚至連該劃分成幾類都不知道的情況。對於這兩大類資料，可以分述如下： 對於「不包含類別資訊」的資料，我們通常使用「主要分量分析」（principal component analysis），簡稱 PCA。 (Cuiqu features (feature extraction) is feature selection (feature selection) extension, simply put, we want to base the projection data the high-dimensional space to low-dimensional space, so we have to find a set of basis vectors ( base) to the linear coordinate conversion, so that after the coordinate conversion, can meet a number of features. We can feature Cuiqu into " category contains information" and " does not contain a category of information," two categories. Contains categories of information refers to what we already know what kind of information are attributed to Cuiqu features include categories of information are not applicable to information we do not know the points are in the hands of the home in which category, and even that is divided into several class do not know the situation. For these two categories of information, can be divided as follows: For information " does not include the categories of information" , we usually use the " )

a)Refer to the LDPC presentation slides provided, and use the input data provided below to decode the codeword Repeat a) with new matrix H, codeword and σ^2 given below(a) Refer to the LDPC presentation slides provided, and use the input data provided below to decode the codeword Repeat a) with new matrix H, codeword and σ ^ 2 given below)

matlab 模式识别程序，可以识别0-9数字。(matlab recognition program can recognize numbers 0-9)

一种无线通信网中的用户移动模型，用来描述仿真中小区内分布的用户及其移动规律。(User moves in a wireless communication network model, used to describe the simulation of small and medium-sized district distribution of users and their movement law.)

edge detection matlab