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fft-txcl
- 1.matlab编程,实现函数的倒排序; 2.程序实现FFT,傅立叶逆变换; 3.一个图像处理程序,添加噪声,去噪。
chap08
- ex6_1 ~ ex6_3二项分布的随机数据的产生 ex6_4 ~ ex6_6通用函数计算概率密度函数值 ex6_7 ~ ex6_20常见分布的密度函数 ex6_21 ~ ex6_33随机变量的数字特征 ex6_34 采用periodogram函数来计算功率谱 ex6_35 利用FFT直接法计算上面噪声信号的功率谱 ex6_36 利用间接法重新计算上例中噪声信号的功率谱 ex6_37 采用tfe函数来进行系统的辨识,并与理想结果进行比较 ex6_38 在置信度为0
RLS
- 通过均衡器的RLS算法在MATLAB中实现消除传输信道的噪声干扰。-Through the equalizer in the RLS algorithm in MATLAB to achieve elimination of the transmission channel noise.
mjiaqiang2
- 下面是我编的一个软硬阈值去噪的matlab程序 下面是我编的一个软硬阈值去噪的matlab程序:thr=sigma*(2*lgN)1/2/lg(j+1) 用[x,xn]=wnoise(2,10,6) 产生噪声测试数据-The following is Part I of a of hard and soft threshold denoising matlab procedure is the following hardware and software, I made a threshold
xiaobofenjiehechougou
- 小波分解和重构 小波分解和重构 -thr=sigma*(2*lgN)1/2/lg(j+1) 用[x,xn]=wnoise(2,10,6) 产生噪声测试数据-The following is Part I of a of hard and soft threshold denoising matlab procedure is the following hardware and software, I made a threshold denoising matlab program: thr
hyf
- matlab中值滤波,滤去高斯噪声白噪声等相关噪声信号-matlab median filtering, filtered Gaussian noise, white noise and noise signal
abc
- 运行一个Matlab程序,完成一个M=4的PAM通信系统的仿真。仿真对10000个符号(2万个比特)进行。测量在噪声方差为0,0.1,1.0和2.0时的符号差错概率。通过低通滤波器。画出理论误码率和由Monte Carlo仿真测得的误码率,并比较这些结果。(平均符号能量为1)-Running a Matlab program, complete a M = 4 PAM communication system simulation. The simulation of 10000 symbols
project5_1main
- 基于matlab的加性高斯白噪声 源代码 直接用软件打开即可-Matlab-based additive white Gaussian noise
project5_1
- 基于matlab软件的加性高斯白噪声 模块 和代码一起打开可以用-Additive white Gaussian noise module based on MATLAB software and code can be used to open
mydata
- 周期信号加上白噪声,通过在matlab中,用XCORR函数,求出周期信号,干扰信号,和观测信号的自相关函数,三者互相进行比较-Periodic signal plus white noise in matlab by using XCORR function, the autocorrelation function of a periodic signal is obtained, the interference signal, and the observed signals, compa
karmon_ARMR
- matlab,karman谱,利用白噪声特性和ARMR模型,通过求解模型参数生成随机风速-Matlab, Karman spectrum, the characteristics of white noise and ARMR model, the generation of random wind velocity by solving the model parameters
one
- 通过使用matlab自带的小波函数对语音信号进行处理,首先对载入的语音信号snow.wav添加高斯白噪声,然后对加噪的语音信号进行三层小波分解,最后分别采用强制性和默认阈值两种方法对信号进行消噪处理,强制性消噪方法直接将分解的高频系数全部变为0,默认阈值通过对分解的高频系数设定阈值来进行消噪-By using MATLAB built-in wavelet function of speech signal processing, first on the loading of the spee
l9
- 本程序可以利用FFT函数对带有白噪声的信号进行振幅提取,并附有图标说明。(This procedure can use the FFT function to extract the white noise signal amplitude, and accompanied by icons.)