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tp1gradateur1phas3
three phases power gradator
- 2010-11-18 06:36:46下载
- 积分：1
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CrossPSD
验证平稳随机信号的互功率谱等于各自相关函数傅里叶变换的乘积。(To SSS signal, I will prove the cross PSW is equal to the multiply of two FT of the autocorrelation.)
- 2012-12-31 11:25:24下载
- 积分：1
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EMD
基于HHT变换的EMD分解程序。通过调用EMD.m的主函数可以解得IMF函数。(HHT in the EMD program, through function call EMD.m can solve for the IMF)
- 2012-06-13 11:53:28下载
- 积分：1
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QPSK-OFDM
对OFDM运用的QPSK的调制与解调，其中包括星座图，误码率的仿真(Use of OFDM QPSK modulation and demodulation, including constellation, BER simulation)
- 2020-07-02 03:20:01下载
- 积分：1
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sc
说明： 前半部分仿真可能是对的 ，但是后面求频偏估计均方误差与定时估计均方误差的图像时，就不对了。希望告诉们能给我解答一下(code about OFDM)
- 2010-10-22 16:07:06下载
- 积分：1
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1.m
说明： 基于MATLAB中多径非时变信道仿真与分析，可以实现以下简单信道模型的测试！(MATLAB-based non-time-varying multipath channel simulation and analysis, you can achieve the following simple channel model of the test!)
- 2010-04-29 10:32:51下载
- 积分：1
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matlab-image-study-(1)
MATLAB图像处理的资料，包括图像倾斜校正，图像腐蚀和膨胀(matlab image erosion and dilation study)
- 2014-09-07 17:11:23下载
- 积分：1
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3x3-neighbor-pixel
Description
All the filters have needed neighbor data the current pixel in the image,here this function(res_window=cover_window(how many neighbor value for row ,how many neighbor value for column ,input image) produce the result( res_window(row,col,total size))
input
inp_img=2d data(row * col)
w=cover size
w=[3 3] = 3x3 cover pixel generation
output
o_img=result 3d
o_img(w(1),w(2),r*col)
if
inp_img=[1 2 3 4 5 6 ]
w=[3 3]
Soloution
it will construct new image
new_img=[0 0 0 0 0 0 1 2 3 0 0 4 5 6 0 0 0 0 0 0]
result
o_img(:,:,1)=[0 0 0 0 1 2 0 4 5]
o_img(:,:,2)=[0 0 0 1 2 3 4 5 6]
finally
o_img(1:3,1:3,6)
example
a=imread( pears.png )
b=rgb2gray(a)
c=cover_window( b,[3 3]) 3x3 window construction
- 2014-10-24 17:14:14下载
- 积分：1
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ber_ofdm_with_amplifier
BER verses SNR in ofdm with amplifier:
The BER performances of OFDM systems over the AWGN channel are given
by the BER where N=512. We see that SNR required for BER=10-3
No channel coding scheme is adopted. Therefore, BER
is a bit higher. The results with 16 QAM show that the required Signal to Noise
Ratio (SNR) for BER=10-2 is almost the same. This is because the noise is the
dominant.
- 2013-05-02 01:52:46下载
- 积分：1
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compress_sensing_without_frame
Compressive sampling is an emerging technique that promises to effectively recover a sparse signal from far fewer measurements than its dimension. The compressive sampling theory assures almost an exact recovery of a sparse signal if the signal is sensed randomly where the number of the measurements taken is proportional to the sparsity level and a log factor of the signal dimension. Encouraged by this emerging technique, this thesis briefly reviews the application of Compressive sampling in speech processing. It comprises the basic study of two necessary condition of compressive sensing theory: sparsity and incoherence. In this thesis, various sparsity domain and sensing matrix for speech signal and different pairs that satisfy incoherence condition has been compiled.
- 2014-01-27 20:55:41下载
- 积分：1
