在时变瑞利衰落信道上进行差分MPSK调制的研究。通信为点对点形式,源与目的地通过无线瑞利信道进行通信。该信道随时间变化,这正是移动通信中的常见情况。自相关值决定了通道的变化速度,对信号的传输特性有着重要影响。
Differential MPSK on Rayleigh Fading Channel MATLAB Development for Time-Varying Channels
相关推荐
scatool Side Channel Analysis Toolbox-MATLAB Development
该工具箱帮助初学者学习侧信道分析的思想、方法和技术。我们提供: (1) 图形用户界面——可视化分析过程; (2) 常用函数库——让人们更容易设计算法。
Matlab
0
2024-11-06
HidroChannel-UA Hydraulics Channel Calculation Software Development in MATLAB
The HidroChannel-UA is a specialized hydraulic channel calculation software developed using MATLAB. This software is designed to facilitate the analysis and design of water flow in hydraulic channels, providing users with accurate computational tools for modeling and simulation. Its intuitive interface and advanced algorithms ensure efficient problem-solving for engineers and researchers in the field of hydraulics.
Matlab
0
2024-11-06
Reverb Time Calculator Estimating Reverberation Time from Multiple Microphone Records Using Time Log-MATLAB Development
The rt_script.m is the main program. It generates a text file and a PDF report to log the estimated reverberation time. Two measurement methods can be used: 1) Speaker On-Speaker Off Method, and 2) Balloon Burst Method. The documentation provides basic programs for both methods. It has been found that the Speaker On-Speaker Off Method is significantly more accurate than the Balloon Burst Method. The Balloon Burst Method tends to have over 50% error below 1000 Hz. The reverb_time.m calculates the reverberation time from the 1/3 octave band time logs. Time records of random test signals, generated by the script makelNHANESNoisesm_ed.m (also available on MATLAB Central File Exchange), are ideal for measuring reverberation time using the Speaker On-Speaker Off Method. The Balloon Burst Method can be used to process the same file multiple times to roughly estimate the reverberation time for each 1/3 octave band.
Matlab
0
2024-11-05
PN_Sequence_Based_Channel_Estimation_and_Reed_Solomon_Code_Implementation_in_OFDM_Matlab_Development
OFDM传输、信道估计、PN序列、RS码实现、比较
Matlab
0
2024-11-03
Linux Soft Real-Time Target v2.4Custom Linux Target for Real-Time Workshop in MATLAB Development
The Linux Soft Real-Time Target is defined by MathWorks for Real-Time Workshop. The target uses the POSIX real-time clock to generate periodic signals, waking up the model process at each time step. The process runs with the highest priority as defined by the scheduler, requiring root privileges to execute. The Linux soft real-time target does not operate as a hard real-time system because the Linux kernel itself is not preemptive. Thus, model execution can sometimes experience delays. The standard Linux kernel preempts every 10 ms. To achieve higher resolution task switching and improve execution precision, one can modify the HZ value in asm/param.h (included in the kernel source code) and recompile the kernel. To include C S-Functions from other directories, place the rtwmakecfg.m file found in this package into the source directory of the C S-Function. The C S-Function must then be processed accordingly.
Matlab
0
2024-11-06
经典的MPSK Matlab仿真程序代码 - MPSK_sim.zip下载
MPSK的Matlab仿真程序代码非常经典,特别适合通信学习者初次接触仿真使用!
Matlab
0
2024-08-25
SUI MIMO Channel MATLAB Implementation
SUI MIMO channel 的 MATLAB 实现,附有说明文档。
Matlab
0
2024-10-31
Numerical Methods for Solving Partial Differential Equations using MATLAB
This method can solve various partial differential equations and represents the latest numerical solution techniques. It is based on MATLAB programming, making it easier to understand and implement. By utilizing MATLAB, complex mathematical models become more accessible and the process of solving PDEs is streamlined for better clarity and efficiency.
Matlab
0
2024-11-06
MATLAB Implementation of Multi-Channel Filter Bank
The multi-channel filter bank is an essential tool in signal processing, offering a range of applications across various domains. Here, we provide a MATLAB implementation of a multi-channel filter bank that can be downloaded for those interested in exploring or adapting this functionality.
Program Features
Multi-channel filtering with efficient MATLAB coding practices
Suitable for users who require precise, customizable filter bank configurations
Feel free to download this MATLAB code and refer to it for your multi-channel filter bank projects. This can serve as a foundation or reference point for further customization in more complex filtering tasks.
Matlab
0
2024-11-05