搜索资源列表
QPSK_TRANSMITTER
- M-file for simulating a QPSK transmitter by modulating with a pseudo random bit stream. A serial to parallel conversion of the pseudo random bit stream is performed with mapping of two bits per symbol. A cosine and sine carrier is configured and the
sdr_model
- M-file for simulating a QPSK transmitter by modulating with a pseudo random bit stream. A serial to parallel conversion of the pseudo random bit stream is performed with mapping of two bits per symbol. A cosine and sine carrier is configured and the
DS_uwbprogram
- 关于simu1: 在simlink运行之前的初始化过程中，完成了信道时延和幅度的估计，多径合成权系数估计 多径合成采用可选EG/MR/MMSE合成 信道可选白噪声信道AWGN和IEEE80.215.3a UWB标准信道模型(CM1-CM4)但为了简化， 这里采用了IEEE80.215.3a给出了信道模型中的仿真数据包(如果你是作超宽带的，信道模型程序和数据可从IEEE80.215.3a网站获取) 和大部分仿真一样，模型中的Eb/No指的是单比特信息符号携带的能量和噪声的比例，
VibrationSimulationUsingMATLABandANSYS
- MATLAB PROGRAMS FOR \"VIBRATION SIMULATION USING MATLAB AND ANSYS\" All the M-files which are listed in the book are available on this site. The ANSYS-related files and some non-listed utility M-files are available for download from the auth
random
- George Marsaglia的“The mother”随机数生成代码，称循环周期达2^250，可以通过ts检验，适用于大规模仿真。 源码已进行类封装。测试程序直接产生可用于matlab的m文件。-George Marsaglia s The mother random number generator code, saying that the cycle period could up to 2 ^ 250,and could pass through the ts test.Suit
TS_Mux_Code
- Its multplexer, to integrate the audio and video to Transport stream
S2
- function [ret,x0,str,ts,xts]=s1(t,x,u,flag) s1 is the M-file descr iption of the SIMULINK system named s1. The block-diagram can be displayed by typing: s1. SYS=s1(T,X,U,FLAG) returns depending on FLAG certain system values given
S3
- function [ret,x0,str,ts,xts]=s3(t,x,u,flag) s3 is the M-file descr iption of the SIMULINK system named s3. The block-diagram can be displayed by typing: s3. SYS=s3(T,X,U,FLAG) returns depending on FLAG certain system values given
S4
- function [ret,x0,str,ts,xts]=s4(t,x,u,flag) s4 is the M-file descr iption of the SIMULINK system named s4. The block-diagram can be displayed by typing: s4. SYS=s4(T,X,U,FLAG) returns depending on FLAG certain system values given
C4
- function [ret,x0,str,ts,xts]=smg(t,x,u,flag) smg is the M-file descr iption of the SIMULINK system named smg. The block-diagram can be displayed by typing: smg. SYS=smg(T,X,U,FLAG) returns depending on FLAG certain system values g
s4
- function [ret,x0,str,ts,xts]=s4(t,x,u,flag) s4 is the M-file descr iption of the SIMULINK system named s4. The block-diagram can be displayed by typing: s4. SYS=s4(T,X,U,FLAG) returns depending on FLAG certain system values given
S1C
- function [ret,x0,str,ts,xts]=s4(t,x,u,flag) s4 is the M-file descr iption of the SIMULINK system named s4. The block-diagram can be displayed by typing: s4. SYS=s4(T,X,U,FLAG) returns depending on FLAG certain system values given
SVM-Multiregression
- SVM Multiregression for Non Linear Channel Estimation in Multiple-Input Multiple-Output Systems 在多输入多输出系统中的SVM多元回归非线性逼近-This paper addresses the problem of Multiple-Input Multiple-Output (MIMO) frequency non-selective channel estimation. We d
duoquanzhishengjingwangluo
- 应用多权值神经网络方法对静态手势进行识别, 对手势字母图像采用傅里叶描述子提取特征信息, 取低频信息成分构建成犯维特征向量, 并应用多权值神经网络的算法, 构建各类的神经元网络-W ith th e develo Pm en t of hu m an eom p uter intera etion te ehn olo盯, th e h as been b ased on an im P o rt a n t tas k fo r U r o n s diseu ssion
T-S
- T-S神经网络m文件，收敛速度快，已尝试-TS neural network m files, fast convergence, have tried. . .
Application
- 将基于混合差分策略的改进差分进化优化算法应用在PID控制器在线优化中。MDE( 改进差分 进化算法)结合了差分策略DE / rand /1的多样性和DE /best/1的高收敛速度的优点, 算法的寻优性能远超过两 种策略单独作用时的性能。此方法充分利用了差分进化的进化寻优优势与PID控制器的简单方便, 让控制器 在系统运行过程中进行自我设计和优化。-Th is pape r presen ts a new m ethod
Untitled1
- T-S模糊辨识和广义预测控制.m文件源程序-TS fuzzy identification and generalized predictive control. M file source
dastebandi
- Design a feedforward network is u dehaze algorithms review path planning using GA and ACO... The neural network adaboost stron TS neural network m files, fast c bp neural network, written with C Bayes net and memory based learni
estekhraj-vijegi
- Design a feedforward network is u dehaze algorithms review path planning using GA and ACO... The neural network adaboost stron TS neural network m files, fast c bp neural network, written with C Bayes net and memory based learni
fftseq
- function [M,m,df]=fftseq(m,ts,df)