-
-
A.spur-free.fractional-N.pll.rar
... a new simplified linear model are presented. The new fractional-N synthesizer presents no reference spurs and lowers the overall phase noise, thanks to the presence of a SampleJHold block. With a new simulation methodology it is possible to perform very ...
-
dual.band.GMSK.transmitte.rar
... -N synthesizer forming the basis of the transmitter uses a combined phasefrequency
detector (PFD) and digital-to-analog converter (DAC) circuit element to obtain >28dB high frequency noise reduction when compared to classicalfrequency synthesis.
-
PREDICTION.FRACTIONALN.SPURS.rar
Fast settling-time added to the already conflicting requirements of narrow channel spacing and
low phase noise lead to Fractional4 divider techniques for PLL synthesizers. We analyze discrete "beat-note spurious levels from arbitrary modulus divide ...
-
Reversible_Jump_MCMC_Bayesian_Model_Selection.rar
... model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that need to be estimated. The derivations and proof of geometric convergence are ...
-
rician.zip
Demonstrate ricernd, ricepdf, and ricestat, in the context of simulating Rician distributed noise for Magnetic Resonance Imaging magnitude data.
-
NoiseReduction_v1.rar
本程式实做了Noise Reductin Algorithm
2005年一个韩国人在ieee发表的Paper
Block-based noise estimation using adaptive Gaussian filtering
此论文也收录在资料夹中，供使用者参考。
首先， ... 图(未被杂讯污染)
接下来选择第二张图(有杂讯)
你可以直接点选Noise Reduction观看结果
也可以先调整旁边的threshold，观看不同threshold下去除杂讯的效果 ...
-
-
kalman.rar
... for 1-step prediction onto matrix X (X can = Z)
with model order p
V = initial covariance of observation sequence noise
returns model parameter estimation sequence A,
sequence of predicted outcomes y_pred
and error matrix Ey (reshaped) for y and Ea ...
-
1.rar
关于MSK的英文资料
Bit Error Performance Analysis of FH/MSK System
in Different Multi-tone Noise Jamming
-
ImageWienerFilter.rar
小波软阈值去噪soft harr.rar 小波软阈值去噪soft harr.rar 将文件所在目录设为工作目录，然后打开wavlet.fig,在noise提示框下输入噪声强度，在0-0.1之间（不能为零）。然后点process按钮，就会显示实验结果，包括原图像，加噪图像，去噪图像的对比以及当前的psnr值。 wavlet.m是程序文件
-
Go To English Version 超过100万源码资源，1000万源码文件免费下载
