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0081GUI
- 这是一个基于GUI系统。 GUI是在命令行调用通过键入“ui_start”。 GUI是自我解释性。 工具提示是由于在蓝颜色。将光标定位需要这些详细的说明。主要文件 “runsim.m”。在这些模拟的单变量的选择是没有明确给出。这是因为单输入单输出的结果为特定 调制类型显示在每一个用于比较的阴谋。-This is a GUI based system. The GUI is invoked from the command line by typing "ui_start". The
ramp
- RAMP response of SISO LTI models.
e2
- exp-2: To observe the BER performance of a SISO system with coherent detection in Rayleigh fading channels.- exp-2: To observe the BER performance of a SISO system with coherent detection in Rayleigh fading channels.
e3
- exp-3: To observe the BER performance a SISO system with DPSK in quasi-static Rayleigh fading channels.- exp-3: To observe the BER performance a SISO system with DPSK in quasi-static Rayleigh fading channels.
e4
- exp-4: To observe the BER performance a SISO system with Non coherent modulation with Rayleigh fading channels.- exp-4: To observe the BER performance a SISO system with Non coherent modulation with Rayleigh fading channels.
RBF_2
- 此程序是神经网络中基于梯度的径向基函数算法，在MATLAB中实现。用一个2－n－1结构的RBF网对SISO系统进行建模，网络的两个输入为u(k-1)和y(k-1)，输出为 y(k)。令y(0)=0，按飞线性系统产生200个样本，其中前100个样本用于训练，后100个样本用于测试。-This procedure is based on the gradient neural network radial basis function algorithm is implemented in MATL
RBF_3
- 此程序是神经网络中基于聚类的径向基函数算法，在MATLAB中实现。用一个2－n－1结构的RBF网对SISO系统进行建模，网络的两个输入为u(k-1)和y(k-1)，输出为 y(k)。令y(0)=0，按飞线性系统产生200个样本，其中前100个样本用于训练，后100个样本用于测试。-This procedure is based on neural network clustering of radial basis function algorithm is implemented in MAT
siso_modified
- a modified version of siso algorithm
waterfilling
- In this programe a highly scattered enviroment is considered. The Capacity of a MIMO channel with nt transmit antenna and nr recieve antenna is analyzed. The power in parallel channel (after SVD decomposition) is distributed as water-filling algorith
identification
- 闭环系统辨识的MATLAB源码，对于SISO系统具有良好的辨识效果-Closed-loop system identification of the MATLAB source code for the SISO system has good identification results
p61main
- 具有非线性输入的SISO非线性时变时滞系统的自适应模糊控制仿真程序-Adaptive Fuzzy Control of SISO Nonlinear Time-Varying Delay System with Nonlinear Input
SISO_QAM
- This code describe QAM performance for SISO.
SISO_PAM
- This code describe PAM performance for SISO.
NARXnet
- NARX神经网络的matlab实现，支持MISO，SISO两类模型的同时，对MIMO也有一定的启发，对学习神经网络有很好的帮助-Matlab NARX neural network implementation, support MISO, SISO two types of models of the same time, there are certain MIMO inspired neural network learning with the help of good
QPSK-Demodulation
- I simulated the SPACE TIME BLOCK CODED system based on Alamouti scheme, where the modulation is BPSK. Now I am trying to extend that to QPSK and higher modulations. Since for SISO channels, BER curve for BPSK and QPSK is equal in AWGN and fla
Introduction.To.Sound.Processing
- Sound is usually considered as a mono-dimensional signal (i.e., a function of time) representing the air pressure in the ear canal. For the purpose of this book, a Single-Input Single-Output (SISO) System is defined as any algorithm or device t
CH4
- This a GUI based system. The GUI is invoked from the command line by typing "ui_start". The GUI is self explanatory. Tool tips are given in blue color. The cursor needs to be positioned on these for detailed explanation. The main file is "runsim
WiMAXin-ofdm
- Reaching Higher data rate and spectral efficiency are among the challenges expected for 4G wireless systems. Combining OFDM modulation and multiple-input multipleoutput (MIMO) help for that. In this paper, performances of a WiMAX MISO-OFDM based syst
equalizer_design
- Designs a frequency-domain and time-domain FIR equalizer for a single-input single-output (SISO) channel. Frequency-domain equalization uses a Chebychev criteria and is specified in terms of frequency response functions. It is a conv
J58
- This pdf isvery good for Model reference control for SISO sytem