hsiaocy / beads Goto Github PK
View Code? Open in Web Editor NEWBEADS: Baseline Estimation And Denoising w/ Sparsity Python version
BEADS: Baseline Estimation And Denoising w/ Sparsity Python version
I tried to use the test()
method and instead of this:
sig = np.cos(2*np.pi*7*t) + np.sin(3*np.pi*7*t+300*t)
I entered my chromatogram. But in the end the original signal and the result are almost the same. Do I need to tune the params? I don't understand the math behind it yet, so I was hoping that the algorithm would "just work".
Here are these chromatograms in 1 plot (you see only 1 line because they are very similar):
And here is plt.plot(domain, sig - x.squeeze(), 'g')
:
稀疏矩阵阵列对内存要求过高,5W个点的数据需要超过8G内存,在普通配置电脑上运行时,提示内存分配错误。
numpy.core._exceptions.MemoryError: Unable to allocate array with shape (50175, 50176) and data type float64
Hello,
I think you make a mistake in your function return value arrange in Line 167. Your code is x, f, cost = beads(y=sig, d=d, fc=fc, r=r, lam0=lam0, lam1=lam1, lam2=lam2)
. But refer from the definition in Line 101, it should be x, cost, f = beads(y=sig, d=d, fc=fc, r=r, lam0=lam0, lam1=lam1, lam2=lam2)
.
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