-
Notifications
You must be signed in to change notification settings - Fork 10
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
chapter04 first commit #57
Open
TomohiTakahashi
wants to merge
1
commit into
onolab-tmu:main
Choose a base branch
from
TomohiTakahashi:ttakahashi/chapter04
base: main
Could not load branches
Branch not found: {{ refName }}
Loading
Could not load tags
Nothing to show
Loading
Are you sure you want to change the base?
Some commits from the old base branch may be removed from the timeline,
and old review comments may become outdated.
Open
Changes from all commits
Commits
File filter
Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,26 @@ | ||
import numpy as np | ||
|
||
|
||
def pad(x, L, S): | ||
x_pad = np.pad(x, [L - S, L - S]) | ||
re = np.mod(x_pad.size, S) | ||
if re != 0: | ||
x_pad = np.pad(x_pad, [0, S - re]) | ||
return x_pad | ||
|
||
|
||
def main(): | ||
L = 4 | ||
S = 3 | ||
|
||
x = np.ones(8) | ||
x_pad = pad(x, L, S) | ||
|
||
print(f"x: {x}") | ||
print(f"x_pad: {x_pad}") | ||
|
||
|
||
if __name__ == "__main__": | ||
main() | ||
|
||
print("Finished") |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,29 @@ | ||
import numpy as np | ||
from q01 import pad | ||
|
||
|
||
def frame_div(x, L, S): | ||
x_pad = pad(x, L, S) | ||
T = int(np.floor((x_pad.size - L) / S)) + 1 | ||
x_t = np.array([x_pad[t * S : t * S + L] for t in range(T)]) | ||
return x_t | ||
|
||
|
||
def main(): | ||
L = 4 | ||
S = 3 | ||
|
||
x = np.ones(8) | ||
x_pad = pad(x, L, S) | ||
x_t = frame_div(x, L, S) | ||
|
||
print(f"x: {x}") | ||
print(f"x_pad: {x_pad}") | ||
print(f"x_t: {x_t}") | ||
print(f"x_t.shape: {x_t.shape}") | ||
|
||
|
||
if __name__ == "__main__": | ||
main() | ||
|
||
print("Finished") |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,34 @@ | ||
import numpy as np | ||
from q01 import pad | ||
from q02 import frame_div | ||
|
||
|
||
def stft(x, L, S, wnd): | ||
x_t = frame_div(x, L, S) | ||
T = len(x_t) | ||
X = np.array([np.fft.rfft(x_t[t] * wnd) for t in range(T)], dtype="complex") | ||
return X.T | ||
|
||
|
||
def main(): | ||
L = 4 | ||
S = 3 | ||
|
||
x = np.ones(8) | ||
wnd = np.hamming(L) | ||
x_pad = pad(x, L, S) | ||
x_t = frame_div(x, L, S) | ||
x_stft = stft(x, L, S, wnd) | ||
|
||
print(f"x: {x}") | ||
print(f"x_pad: {x_pad}") | ||
print(f"x_t: {x_t}") | ||
print(f"x_t.shape: {x_t.shape}") | ||
print(f"x_stft: {x_stft}") | ||
print(f"x_stft.shape: {x_stft.shape}") | ||
|
||
|
||
if __name__ == "__main__": | ||
main() | ||
|
||
print("Finished") |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,80 @@ | ||
from pathlib import Path | ||
from typing import Union | ||
import numpy as np | ||
import matplotlib.pyplot as plt | ||
from q03 import stft | ||
|
||
|
||
config = { | ||
"figure.subplot.bottom": 0.15, | ||
"figure.subplot.left": 0.15, | ||
"figure.figsize": [10, 8], | ||
"font.size": 24, | ||
"font.family": "Times New Roman", | ||
"mathtext.fontset": "cm", | ||
"pdf.fonttype": 42, | ||
"legend.borderaxespad": 1, | ||
"lines.linewidth": 2, | ||
"savefig.transparent": True, | ||
} | ||
|
||
|
||
LABELS = { | ||
0: ("viridis", "Power spectrogram"), | ||
1: ("viridis", "Phase spectrogram"), | ||
2: (plt.cm.Reds, "Cosine of phase spectrogram"), | ||
3: (plt.cm.Blues, "Sine of hase spectrogram"), | ||
} | ||
|
||
|
||
def main(output_dir: Union[Path, str]): | ||
out_p = Path(output_dir) | ||
|
||
A = 1 # amplitude | ||
f = 440 # frequency (Hz) | ||
sec = 0.1 # time (sec) | ||
sr = 16000 # sampling rate (Hz) | ||
|
||
t = np.arange(sec * sr) / sr | ||
y = A * np.sin(2 * np.pi * f * t) | ||
|
||
L = 1000 | ||
S = 500 | ||
wnd = np.hamming(L) | ||
y_stft = stft(y, L, S, wnd) | ||
|
||
print(f"y_stft.shape: {y_stft.shape}") | ||
|
||
spec = [np.abs(y_stft), np.angle(y_stft), np.cos(np.angle(y_stft)), np.sin(np.angle(y_stft))] | ||
|
||
plt.rcParams.update(config) | ||
fig, ax = plt.subplots(4, 1) | ||
for i in range(len(spec)): | ||
# ax[i].pcolormesh(spec[i]) | ||
ax[i].imshow( | ||
spec[i], | ||
cmap=LABELS[i][0], | ||
interpolation="nearest", | ||
aspect="auto", | ||
origin="lower", | ||
extent=[0, y_stft.shape[1], 0, y_stft.shape[0]], | ||
) | ||
ax[i].set_title(LABELS[i][1]) | ||
ax[i].set_rasterized(True) | ||
fig.supxlabel("Frame") | ||
fig.supylabel("Frequency (Hz)") | ||
plt.tight_layout() | ||
fig.subplots_adjust(left=0.13, right=1 - 0.13, bottom=0.11, top=1 - 0.11, hspace=0.8) | ||
plt.savefig(out_p / "04.pdf", dpi=300) | ||
plt.clf() | ||
plt.close() | ||
|
||
|
||
if __name__ == "__main__": | ||
out_p = Path.cwd() / "outputs" | ||
if not out_p.exists(): | ||
out_p.mkdir(parents=True) | ||
|
||
main(out_p) | ||
|
||
print("Finished") |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,62 @@ | ||
from pathlib import Path | ||
from typing import Union | ||
import numpy as np | ||
import matplotlib.pyplot as plt | ||
|
||
|
||
config = { | ||
"figure.subplot.bottom": 0.15, | ||
"figure.subplot.left": 0.15, | ||
"figure.figsize": [10, 8], | ||
"font.size": 24, | ||
"font.family": "Times New Roman", | ||
"mathtext.fontset": "cm", | ||
"pdf.fonttype": 42, | ||
"legend.borderaxespad": 1, | ||
"lines.linewidth": 2, | ||
"savefig.transparent": True, | ||
} | ||
|
||
|
||
def comp_wnd(wnd, S): | ||
L = wnd.size | ||
Q = int(np.floor(L / S)) | ||
cwnd = np.empty(L, dtype=np.float64) | ||
for i in range(L): | ||
k = i - (Q - 1) * S | ||
if k < 0: | ||
k = 0 | ||
cwnd[i] = wnd[i] / np.sum(wnd[k : i + (Q - 1) * S] ** 2) | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. ここは演習問題では、 |
||
return cwnd | ||
|
||
|
||
def main(output_dir: Union[Path, str]): | ||
out_p = Path(output_dir) | ||
|
||
L = 1000 | ||
S = 500 | ||
wnd = np.hamming(L) | ||
cwnd = comp_wnd(wnd, S) | ||
|
||
plt.rcParams.update(config) | ||
fig, ax = plt.subplots(2, 1) | ||
ax[0].plot(wnd) | ||
ax[0].grid() | ||
ax[0].set_title("Hamming window") | ||
ax[1].plot(cwnd) | ||
ax[1].set_title("Composite window") | ||
ax[1].grid() | ||
plt.tight_layout() | ||
plt.savefig(out_p / "05.pdf") | ||
plt.clf() | ||
plt.close() | ||
|
||
|
||
if __name__ == "__main__": | ||
out_p = Path.cwd() / "outputs" | ||
if not out_p.exists(): | ||
out_p.mkdir(parents=True) | ||
|
||
main(out_p) | ||
|
||
print("Finished") |
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
ここは演習問題の指定の通り、
matplotlib.pyplot.pcolormesh
を使ってもらえると!