def METHOD_NAME():
	N = 2048
	noise = np.random.normal(loc=0,scale=1.0,size=N)
	fig, [[ax1,ax2],[ax3,ax4]] = plt.subplots(2,2)
	axarr = [ax1,ax2,ax3,ax4]
	for i,f in enumerate([blocks,bumps,heavisine,doppler]):
		xs,ys = f()
		ys = ys + noise
		denoised = SUREShrink(ys)
		axarr[i].plot(xs,denoised)
		axarr[i].set_title("Denoised {}".format(f.__name__))
	plt.show()