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fre
- 在matlab下利用simulink搭建模块,对典型信号如正弦波、方波、三角波、锯齿波、白噪声以及叠加波形的时域信号进行频谱(幅值谱)特性分析。-Module in matlab simulink structures, such as sine, square, triangle wave, sawtooth wave, white noise, as well as the time-domain signal waveforms superimposed spectrum (amplitu
fftfast
- 基于matlab中中性定理产生的高斯白噪声的频谱自相关分-The produce white Gaussian noise spectrum based of matlab in neutral Theorem autocorrelation points
junyunbaizaosheng
- 在matlab环境下,产生(-1,+1)均匀分布的均值白噪声的程序代码-Matlab environment, generate uniformly distributed white noise code (-1,+1)
sim1
- Matlab高斯信道条件下采用QPSK和8PSK时点到点通信系统的理论和统计所得的误码率和误比特率曲线。 删余卷积码的Pb性能仿真 加入信道编码模块,绘制误比特率曲线,其中信道为加性高斯白噪声,调试为QPSK; 进行软判决和应判决,和用3/4、7/8删余码进行编码等。-Matlab gaussian channel conditions using QPSK and eight PSK point to point communication system theory and st
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- MATLAB的图像处理基础的资料\3 程序代码说明 P0301:数字图像矩阵数据的显示及其傅立叶变换 P0302:二维离散余弦变换的图像压缩 P0303:采用灰度变换的方法增强图像的对比度 P0304:直方图均匀化 P0305:模拟图像受高斯白噪声和椒盐噪声的影响 P0306:采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波 P0307:采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波
neural-network.rar
- matlab例程,主要实现神经网络的辨识(不是应用工具箱),其中包含多个子文件,包含高斯白噪声的生成,bp神经网络,hopfield神经网络等的辨识。,matlab routine identification of neural network (not application toolbox), which contains multiple subfolders containing white Gaussian noise generated bp neural network, hop
ID1-2
- 基于MATLAB的一阶和二阶模型辨识程序(加入1 的白噪声)仿真后得出辨识以及实际阶跃图形-MATLAB-based first-order model identification procedures (adding 1 white noise) simulation based on the identification of the actual step graphics
w
- 利用matlab实现下面的问题:其中u(k)和z(k)分别为模型的输入和输出变量;v(k)为零均值、方差为1、服从正态分布的白噪声;为噪声的标准差;利用得到的u(k)和z(k)来辨识模型的阶次和参数。-Using matlab to achieve the following questions: where u (k) and z (k) respectively, the input and output variables of the model v (k) with zero mea
yi
- 基于matlab 的叠加高斯白噪声的正弦信号频谱分析,给定正弦函数x=sin(2πf0n/N+π/3)+sin(2πf1n/N+π/4),设定f0.f1的值,加了噪声之后做快速傅里叶变换,在matlab中分析其频谱,验证是否与f0,f1的值符合。再变换N值,看随着N值的变化对应点是否符合及有何变化。-Matlab based on the superposition of Gaussian white noise sinusoidal signal spectrum analysis, giv
source_number_detection_PET
- 信号源数目估计,采用PET算法,假设空间白噪声,包括matlab实现代码和例程- Detection of the number of sources with predicted eigenvalue threshold. The method assumes that the noise is spatially white.
source_number_detection_IC
- 信号源数目估计,采用信息论算法,假设空间白噪声,包括matlab实现代码和例程-The estimated number of signal sources, using information theory algorithms, assuming space white noise, including matlab code and routines
source_number_detection_hyp
- 信号源数目估计,采用多假设检验算法,假设空间白噪声,包括matlab实现代码和例程-The estimated number of signal sources, the use of multiple hypothesis testing algorithm, assuming space white noise, including matlab code and routines
BER_16_QAM-AWGN
- 在高斯白噪声信道下的16QAM调制方式的误码率计算公式和仿真 matlab文件-In the Gaussian white noise channel under 16QAM modulation error rate calculation formula and simulation matlab File
AIC_test
- 自适应建模与其模型的逆估计,MATLAB编写,加高斯白噪声-Adaptive Modeling and its inverse model estimates, MATLAB prepared, add white Gaussian noise
fftSpectrumanalysis
- 1.用Matlab产生正弦波,矩形波,以及白噪声信号,并显示各自时域波形图 2.进行FFT变换,显示各自频谱图,其中采样率,频率、数据长度自选 3.做出上述三种信号的均方根图谱,功率图谱,以及对数均方根图谱 4.用IFFT傅立叶反变换恢复信号,并显示恢复的正弦信号时域波形图- 1. Using Matlab generated sine wave, square wave, and the white noise signal, and displays the respe
homework1
- 设计一个模拟信号(几个不同频率简谐信号之和,再加一个白噪声) 用不同的采样频率把信号离散(满足和不满足采样定理), 画出信号波形; 分别作信号的谱分析(幅值);对比采样频率的影响; 选用不同窗函数对同一个信号作谱分析,比较分析。-signal process using matlab
FM
- 用matlab的m文件仿真FM过程,从调制到白噪声到解调-Simulation using matlab m file FM process, from modulated white noise to the demodulator
xinhaogaosibaizaosheng
- 在输入输出信号中加入高斯白噪声。这是在很多工程领域必须加入的。此文件是matlab中信号加入高斯白噪声的文件-In the input and output signals in white Gaussian noise. This is in many engineering fields must be added. This file is in matlab adding Gaussian white noise signal file
FLch2bzsheg2
- 系统辨识及其MATLAB仿真,白噪声产生程序-System Identification and MATLAB simulation, white noise generator
Untitled
- 设有一个随机信号 服从AR(4)过程,它是一宽带过程,参数如下: 我们通过观测方程 来测量该信号, 是方差为1的高斯白噪声,用LMS算法和RLS算法通过观测方程来估计原信号。并用Matlab对此问题进行仿真。 -There is a random signal obedience AR (4) process, which is a broadband process parameters are as follows: We are measured by observing