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SeDuMi_1_21
SeDuMi - optimization package over symmetric cones(SeDuMi- optimization package over symmetric cones)
- 2009-07-04 21:22:35下载
- 积分:1
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MATLAB
用DFT (FFT)对连续信号进行频谱分析(Spectrum Analysis of Continuous Signals Using DFT (FFT))
- 2020-06-25 05:40:02下载
- 积分:1
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3
说明: Logistic映射数字混沌产生器
Logistic映射数字混沌产生器(Logistic Logistic Mapping Digital Mapping Digital Chaos Generator Chaos Generator)
- 2010-04-20 11:30:43下载
- 积分:1
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Kriging_WENG
这是克里金插值Matlab程序 可以在Matlab上实现可莉净差值(this is a kriging_weng for Matlab .this is a kriging_weng for Matlab .)
- 2018-04-27 15:27:46下载
- 积分:1
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基于压缩感知的信道估计算法c34code
说明: 基于压缩感知的信道估计算法 包括omp等算法(Channel estimation algorithms based on compressed sensing include OMP and other algorithms)
- 2020-07-06 11:08:58下载
- 积分:1
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编程的思想之复杂txt的读取
该功能配合matlab软件,可实现在复杂txt文档的提取(This function can be implemented in the extraction of complex TXT documents)
- 2018-06-03 18:59:58下载
- 积分:1
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PWM_DC_Motor_Control_1
PSCAD PWM_DC_Motor_Control_1 PWM直流电机控制模型(PSCAD PWM_DC_Motor_Control_1 PWM DC motor control model)
- 2011-01-13 11:27:40下载
- 积分:1
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jidaishuzitongxinxitong
用 MATLAB 对基带数字通信系统进行仿真。整
个系统模拟了发送和接收的全过程。其中调制部分采用 16QAM,并且采用基带传输(Using MATLAB for baseband digital communication system simulation. The system simulates the entire process of sending and receiving. Where the modulation part is 16QAM, and using the base band transmission)
- 2013-06-22 12:07:26下载
- 积分:1
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47651504MVDR
本文提出在数字移动通信中子带滤波器组处理可以提高不同阵元信号的相关性,从而能改善自适应阵列抑制码间干扰(ISI)和共信道干扰(CCI)的能力.在文[6]的基础上,本文研究了子带滤波器组在宽带自适应天线旁 瓣相消中的应用,对其原理进行了理论分析,提出了有效的子带处理方法.经研究表明,子带滤波器组处理能有效增加主、辅助天线信号的相关性,从而提高系统干扰相消比.而且适当的过采样能使系统干扰相消比进一步提高.计算机仿真结果和实测雷达数据处理结果证实了子带处理方法的有效性和理论分析的正确性.(err)
- 2008-12-14 02:00:58下载
- 积分:1
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一种基于高阶累积量的数字调相信号识别方法
说明: 对当前通信信号中常用的数字调相信号BPSK、QPSK、1/4一QPSK、8PSK的调制识别问题,提出了一种基于信号差分高阶累积量的识剐算法。该算法分两个层次进行调制识别,首先利用信号的四阶累积量特征对BPSK、QPSK和{1/4一QPSK、8PSK}信号进行识别,然后再利用信号差分的四阶和八阶累积量特征对1/4-QPSK、8PSK信号进行识别。从理论上分析了的该算法的有效性,并通过计算机仿真验证了算法具有良好的性能。(A recognition algorithm based on differential high-order cumulant is proposed for the modulation recognition problems of BPSK, QPSK, 1/4-QPSK and 8PSK, which are commonly used in current communication signals. The algorithm is divided into two levels for modulation recognition. Firstly, BPSK, QPSK and {1/4-QPSK, 8PSK} signals are identified by using the fourth-order cumulant characteristics of signals, and then 1/4-QPSK and 8PSK signals are identified by using the fourth-order cumulant and eighth-order cumulant characteristics of signal difference. The validity of the algorithm is analyzed theoretically, and the good performance of the algorithm is verified by computer simulation.)
- 2020-06-21 09:40:02下载
- 积分:1