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Daubechies4-8filtercoefficients
Daubechies wavelet coefficients 4 to 8
- 2010-12-10 10:13:40下载
- 积分:1
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04
说明: 跳频通信的matlab文件,对学习扩频通信有很大的帮助 (fhss introduction made in matlab)
- 2009-06-17 15:00:57下载
- 积分:1
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mckd
分析信号谱峭度根据最相关性,提取敏感频段,进一步分析。(The kurtosis of the signal spectrum is analyzed according to the most relevance, and the sensitive frequency bands are extracted for further analysis.)
- 2018-08-30 15:29:48下载
- 积分:1
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QAM16
说明: 主要介绍16QAM调制,及其算法的应用。(This paper mainly introduces 16QAM modulation.)
- 2020-06-24 11:00:02下载
- 积分:1
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ldpc_iwbf
improved weighted bit-flipping algorithm in matlab m-file
- 2010-11-24 22:17:48下载
- 积分:1
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pinpufenxi
使用MATLAB对特定信号进行频谱分析,画出幅度和相位谱的图像,并包含卷积运算和验证程序(The use of MATLAB to carry out a specific signal spectral analysis, to draw the magnitude and phase spectrum of images, and includes the convolution operation and the verification process)
- 2008-07-11 17:28:56下载
- 积分:1
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detection_of_phase_distributed_weak_sine_signal_ba
说明: 基于双耦合Duffing振子的随机相位正弦信号检测
采用双耦合混沌振子阵列实现了随机相位微弱正弦信号的检测,在此基础上,提出了新的检测方法,即利用单个耦合混沌振子,通过临界及周期状态
的变化检测随机相位微弱正弦信号并大致估计信号相位范围,该方法比双耦合混沌振子阵列法简单,更易于实现。(Based on double coupled Duffing oscillators random phase sine signals detected by two coupled chaotic oscillator arrays to achieve a random phase weak sinusoidal signal detection, in this basis, the proposed new detection methods, namely the use of a single coupled chaotic oscillators, through the critical and the cycle random phase state change detection and generally weak sinusoid signal phase estimated the scope of the method than the two-coupled chaotic oscillators array method is simple and more easy to implement.)
- 2010-04-29 10:16:05下载
- 积分:1
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kmean
负荷聚类,通过对负荷数据进行处理,提取典型用电方式,然后对典型用电方式进行聚类(load pattern clustering)
- 2020-10-29 16:19:57下载
- 积分:1
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MIMO_SER
程序仿真MS(移动台)在分布式MIMO系统中(含有六个天线簇)的信噪比随距离的变化(Process simulation MS (mobile station) in a distributed MIMO system (with six antenna clusters) of the signal to noise ratio changes with distance)
- 2021-02-28 21:49:35下载
- 积分:1
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UKF
基于非线性动力系统的无迹卡尔曼滤波matlab程序(onlinear state estimation is a challenge problem. The well-known Kalman Filter is only suitable for linear systems.
The Extended Kalman Filter (EKF) has become a standarded formulation for nonlinear state estimation.
However, it may cause significant error for highly nonlinear systems because of the propagation of uncertainty through the nonlinear system.
The Unscented Kalman Filter (UKF) is a novel development in the field)
- 2013-01-27 23:31:41下载
- 积分:1