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Description: 卡诺图在变量数目很多时，不 容易 化简，Quine-McCluskey(Q-M）方法基本原理 与卡诺图相同当变量数目很多时，或者有许多function要做化简时，都需要使用计算机来做，而Q-M方法为一个系统的逻辑代数化简流程.-Karnaugh map of the large number of variables.
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Size: 48874 |
Author: 李小南 |
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Description: 本程序也是从网站上搜集的来，仅用于网友之间的交流于促进
Private Sub Command1_Click()
Dim a() As Single, ji() As Single, b() As Single, x() As Single
Dim M As Integer, N As Integer, d1 As Integer, d2 As Integer, q As Integer, e1 As Integer, e2 As Integer
M = InputBox("请输入约束方程个数：")
N = InputBox("请输入变量个数：")
d1 = InputBox("请输入>=约束方程个数：")
d2 = InputBox("请输入=约束方程个数：")
q = M + N + d1
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Size: 964 |
Author: bbqx88@126.com |
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Description: 51系列单片机接Renasas HD66772驱动的TFT演示程序
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Size: 143274 |
Author: lcb813 |
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Description: 卡诺图在变量数目很多时，不 容易 化简，Quine-McCluskey(Q-M）方法基本原理 与卡诺图相同当变量数目很多时，或者有许多function要做化简时，都需要使用计算机来做，而Q-M方法为一个系统的逻辑代数化简流程.-Karnaugh map of the large number of variables.
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Size: 48128 |
Author: 李小南 |
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Description: 基于MATLAB的
M=64的QAM系统进行蒙特卡罗仿真-based on MATLAB M = 64 QAM systems Monte Carlo simulation
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Size: 2048 |
Author: lifeforent |
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Description: 这是雷达幅度符合韦布尔分布的杂波仿真程序，功率谱为高斯谱，时域上分为I、Q两路。-This is consistent with the Weibull distribution range radar clutter simulation program, power spectrum for the Gaussian spectrum, the time domain is divided into I, Q two.
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Size: 1024 |
Author: xuwei |
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Description: UIT - Secteur de la normalisation des télécommunications
ITU - Telecommunication Standardization Sector
UIT - Sector de Normalización de las Telecomunicaciones
Study Period 1997-2000
Commission d études Study Group Comisión de Estudio 16 Contribution tardive Delayed Contribution Contribución tardía D.xxx
Geneva, 7-18 February 2000
Texte disponible seulement en Text available only in Texto disponible solamente en E
Question(s): Q.15/SG16
SOURCE*: Nokia Inc. / Nokia Research Center
6000 Connection Drive
Irving, Texas 75039
USA
Tel : +12147976155
Fax : +19728944589
e-mail : marta.karczewicz@nokia.com
TITLE: MVC Decoder Description
-UIT- Secteur de la normalisation des télécommunicationsITU- Telecommunication Standardization SectorUIT- Sector de Normalización de las TelecomunicacionesStudy Period 1997-2000Commission d études Study Group Comisión de Estudio 16 Contribution tardive Delayed Contribution Contribución tardía D.xxxGeneva, 7-18 February 2000 Texte disponible seulement en Text available only in Texto disponible solamente en EQuestion (s): Q.15/SG16 SOURCE*: Nokia Inc./Nokia Research Center6000 Connection Drive Irving, Texas 75039USA Tel:+ 12147976155 Fax:+ 19728944589 e-mail: marta. karczewicz@nokia.com TITLE: MVC Decoder Description
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Size: 1213440 |
Author: 李占闯 |
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Description: 1) 找出两个相异的大素数P和Q，令N＝P×Q，M＝（P－1）（Q－1）。
2) 找出与M互素的大数E，用欧氏算法计算出大数D，使D×E≡1 MOD M。
3) 丢弃P和Q，公开E，D和N。E和N即加密密钥，D和N即解密密钥。
-1) to identify two different large prime numbers P and Q, so N = P × Q, M = (P-1) (Q-1). 2) to identify and M large numbers coprime E, Euclidean algorithm used to calculate lump sum for the D, so that D × E ≡ 1 MOD M. 3) disposed of P and Q, the open E, D and N. E and N that encryption keys, D and N that the decryption key.
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Size: 6144 |
Author: 阿达悟 |
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Description: ICQ源码,可以文字视频聊天,文件传输,桌面截图等功能-ICQ source, you can text video chat, file transfer, desktop screenshot functions
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Size: 6794240 |
Author: 田野 |
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Description: Link Layer Model in MATLAB consisting files:
inputFile.m, LinkLayerModel.m, Q.m, topologyFile.m
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Size: 7168 |
Author: Loh Jian Rong |
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Description: qam的matlab程序。m文件，非simulink。各个模块比较全面，希望有所帮助-qam matlab
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Size: 17408 |
Author: Carlin |
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Description: 实现了蚁群算法求解TSP问题。注释详细
function[R_best,L_best,L_ave,Shortest_Route,Shortest_Length]=ACATSP(C,NC_max,m,Alpha,Beta,Rho,Q)
-------------------------------------------------------------------------
主要符号说明
C n个城市的坐标，n×2的矩阵
NC_max最大迭代次数
m蚂蚁个数
Alpha表征信息素重要程度的参数
Beta表征启发式因子重要程度的参数
Rho信息素蒸发系数
Q信息素增加强度系数
R_best各代最佳路线
L_best各代最佳路线的长度
=========================================================================
-Ant Colony Algorithm for the realization of the TSP problem. Notes the detailed function [R_best, L_best, L_ave, Shortest_Route, Shortest_Length] = ACATSP (C, NC_max, m, Alpha, Beta, Rho, Q) ------------------------------------------------------------------- The main symbol------ C n that cities coordinates, n × 2 matrix NC_max the largest number of iterations m the number of Alpha ant pheromones characterized the importance of the parameters Beta factor heuristic importance of characterization of the parameters Rho evaporation coefficient of pheromone pheromone Q increase in intensity coefficient R_best best route generations generations L_best the length of the best route ====== ================================================== =================
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Size: 2048 |
Author: 王晶 |
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Description: OPTIONAL INPUTS (string/value pairs [default in brackets])
model - model(t)=m means use params from model m at time t [ones(1,T) ]
In this case, all the above matrices take an additional final dimension,
i.e., A(:,:,m), C(:,:,m), Q(:,:,m), R(:,:,m).
However, init_x and init_V are independent of model(1).
u - u(:,t) the control signal at time t [ [] ]
B - B(:,:,m) the input regression matrix for model m
-OPTIONAL INPUTS (string/value pairs [default in brackets])
model - model(t)=m means use params from model m at time t [ones(1,T) ]
In this case, all the above matrices take an additional final dimension,
i.e., A(:,:,m), C(:,:,m), Q(:,:,m), R(:,:,m).
However, init_x and init_V are independent of model(1).
u - u(:,t) the control signal at time t [ [] ]
B - B(:,:,m) the input regression matrix for model m
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Size: 1024 |
Author: letian |
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Description: 仿真（n，k，m）非系统卷积码的桶式堆栈算法(Stack-Bucket Algorithm)序列译码在AWGN信道条件下的误码性能，信噪比区间、卷积码参数、生成序列以及吊桶大小、堆栈大小等算法参数均可以自己设定。-Simulation (n, k, m) non-systematic convolutional codes of the barrel stack algorithm (Stack-Bucket Algorithm) sequence decoding in the AWGN channel BER performance under the conditions of the SNR range, convolutional code parameters, generate sequences as well as the bucket size, stack size of the algorithm parameters can be set.
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Size: 10240 |
Author: 孙琛 |
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Description: 迭代学习控制的matlab程序，m文件结合simulink实现。-Iterative Learning Control matlab program, m file with simulink realization.
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Size: 6144 |
Author: 韩在天 |
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Description: classical Gram-Schmidt(unstable) (reduced QR factorization).A:m-by-n matrix. (m>=n)Q:m-by-n unitary matrix.R:n-by-n upper triangular.-classical Gram-Schmidt(unstable) (reduced QR factorization).A:m-by-n matrix. (m>=n)Q:m-by-n unitary matrix.R:n-by-n upper triangular.
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Size: 1024 |
Author: Ji Hye Park |
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Description: q-learning的一个解释性例子.压缩文件有两个m文件构成，运行后可输出结果。-q-learning with matlab
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Size: 2048 |
Author: xxx |
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Description: 利用Q-M算法 化简逻辑函数
例子：
输入 A`B+AC+BC
输出 A`B+AC
注意：
"`"表示非号 如：A` (A非)
AB 表示 Ａ和Ｂ做 与 运算
Ａ＋Ｂ 表示 Ａ和Ｂ做 或运算
-Using QM algorithm for simplifying logic functions Example: type A `B+ AC+ BC output A` B+ AC Note: " ` " said the non-number, such as: A` (A non) AB said A and B do with the operation A+ B that A and B do or operation
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Size: 2048 |
Author: 黄河 |
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Description: 《数字逻辑与处理器基础》中的Q-M化简逻辑函数的算法。-QM simplifying logic functions in digital logic and processor-based algorithm.
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Size: 319488 |
Author: lujx |
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Description: 计盒分形维数计算的matlab源代码编程实现过程-Function [Fdgen NoisfreFD ]=fractaldim(y,Q,M)
__________________________________________________________________________
Usage: Computes fractal dimension by box counting(BC) method.
NOTE: Running the code may take a little time, because it calculates
dimensions for all embedding dimensions up to M.
This code is based on an algorithm that constructs a box for the first
observation and for other observations test which it belongs to previous
box(s). If the observation belongs to one of the existent boxes then
increases number of points in the relevant box,otherwise makes a new box. the algorithm of this code uses only rounding down and it does not need
binary coding, sorting and so on. It uses only transformation data to [0,2^32-1] and finding valid boxes based on Leibovich and Toth(1989). Inputs: y is a vector time series. q stands for generalized dimension q=1 entropy dimension,q=2 correlation dimension and so on. q=0 is box counting dimen
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Size: 25600 |
Author: panwangsheng |
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