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RBF_OLS
- 此程序是神经网络中径向基函数的OLS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 program is the radial basis function neural network of OLS algorithm is implemented in MATLAB. With a 2-n
sisofuzzy1
- Error plots (real and imaginary) of SISO OFDM system using Fuzzy logic.
MIMOchannelcapacityanalysisandsimulation
- 本代码给出基于MIMO系统下的系统容量分析，其中得出了SISO,SIMO,MISO,MIMO详细的仿真代码和仿真结果分析。对于研究不同环境下的系统容量很有帮助。-The code given system based on MIMO system capacity analysis, which come to SISO, SIMO, MISO, MIMO simulation code and a detailed analysis of simulation results.
convolenc
- Convolutional encoding for wireless SISO system
capacitymimo
- This paper deals with the capacity behavior of wireless Orthogonal Frequency Division Multiplexing (OFDM)-based spatial multiplexing system when considering realistic channel delay profiles. In both the SISO and the MIMO contexts, we compare the
LS-MMSE
- LS vs MMSE estimator for SISO OFDM system
MSISO
- 具有输出量测噪声的一阶SISO 系统的辨识-With output measurement noise, a first-order SISO system identification
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
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_PSK
- This describes the PSK modulation for single input single output system (SISO).
Content
- A multiple-input multiple-output (MIMO) communication system combined with the orthogonal frequency division multiplexing (OFDM) modulation technique can achieve reliable high data rate transmission over broadband wireless channels. Channel state i
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
SISO_MPC
- source code for MPC algoritm in SISO system
System-Identification-SISO
- This code for identification of nonlinear system using neural networks, as an example we use a SISO system
siso
- 自适应OFDM系统能根据信道估计得到信道的状态信息，自适应地调节发送端传输参数，从而提高系统的性能。其中OFDM是一种多载波调制技术，具有频谱利用率高、抗多径干扰、抗突发噪声差错等优点。 在VLC中引入自适应OFDM技术，可以提升系统的容量，提高传输质量，使系统具有更大灵活性，改善系统性能。在无线光通信领域对该技术的研究已成为个重要的方向。根据现有的研究人员所发表的文献，大多是基于基础性和理论性的研究，对可见光通信技术与自适应OFDM的研究甚少。(The adaptive OFDM syste