November 2018
Intermediate to advanced
272 pages
6h 51m
Japanese
book
エレガントなSciPy ―Pythonによる科学技術計算
by Juan Nunez-Iglesias, Stéfan van der Walt, Harriet Dashnow, 山崎 邦子, 山崎 康宏
Content preview from エレガントなSciPy ―Pythonによる科学技術計算
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115
4.7 実世界の応用例：レーダデータの解析
ax.set_zlabel(axis_labels[2], labelpad=-3)
ax.set_xticks([0, 5, 10, 15])
# Adjust the camera position to match our diagram above
前出の図に合わせてカメラ位置を調整する。
ax.view_init(azim=-50);
■
4.7.4
FFT
の他の応用例
これまでに紹介した例は、レーダの
FFT
の利用法の
1
つにすぎません。他にも、移動計測（ドッ
プラー効果の見積もり）や標的認識など、多くの利用例があります。
FFT
は広く普及しており、
MRI
の画像データ処理から統計学まであらゆるところで見かけることができます。本章で紹介し
た基本的なテクニックがあれば、
FFT
を使う準備は十分整っているはずです。
方位角
レンジ
図
4-28
岩盤斜面の推定位置の
3
次元表示
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.