Created
December 4, 2016 00:41
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import numpy as np | |
from matplotlib import pyplot as plt | |
import itertools | |
np.set_printoptions(precision=4, suppress=True) | |
def all_waves(N): | |
for i in itertools.count(): | |
k = i + 1 | |
for func in [np.cos, np.sin]: | |
quant = func(2 * np.pi * k/N * (np.arange(N))) | |
quant = quant / np.linalg.norm(quant) | |
yield quant | |
def all_basis(N): | |
comps = list(itertools.islice(all_waves(N), N-1)) | |
for w1, w2 in itertools.product(comps, comps): | |
yield np.reshape(w1, (N, 1)) @ np.reshape(w2, (1, N)) | |
bases = all_basis(10) | |
for b1, b2 in itertools.combinations(bases, 2): | |
print(b1.flatten() @ b2.flatten()) |
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