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dspã«é–¢ã™ã‚‹nfunatoã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯ (38)

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ãƒ‘ãƒ¯ãƒ¼ã‚¹ãƒšã‚¯ãƒˆãƒ«è¨ˆç®—ã®2ã¤ã®æ–¹æ³• (Julia Advent Calendar 2019) - ä¸¸äº•ç¶œç ”
ã¯ã˜ã‚ã« ã“ã‚Œã¯Julia Advent Calendar 2019ã®20æ—¥ç›®ã®è¨˜äº‹ã§ã™ã€‚ã€ŒéŸ³ã«ã¤ã„ã¦ä½•ã‹æ›¸ãã¾ã™ã€ã¨å®£è¨€ã—ãŸã®ã§ã€æ™®æ®µJuliaã‚’ä½¿ã£ã¦éŸ³ã«ã¤ã„ã¦ã©ã‚“ãªã“ã¨ã‚’ã—ã¦ã„ã‚‹ã‹ã‚’ç´¹ä»‹ã—ã¾ã™ã€‚ä»Šå¹´ã¯ãƒ‘ãƒ¯ãƒ¼ã‚¹ãƒšã‚¯ãƒˆãƒ«ã®è¨ˆç®—ã‚’ã€(1)ä¿¡å·å…¨ä½“ã‚’ãƒ•ãƒ¼ãƒªã‚¨å¤‰æ›ã™ã‚‹æ–¹æ³•ã¨ã€(2)ã‚¹ãƒšã‚¯ãƒˆãƒã‚°ãƒ©ãƒ ã‚’æ™‚é–“å¹³å‡ã™ã‚‹æ–¹æ³•ã®2ã¨ãŠã‚Šã§ã‚„ã£ã¦ã¿ã¾ã™ã€‚ åŽ»å¹´ã¯Advent Calendarå‚åŠ è¨˜äº‹ã¨ã—ã¦ä»¥ä¸‹ã®ã‚ˆã†ãªã‚‚ã®ã‚’æ›¸ã„ã¦ã„ã¾ã—ãŸã®ã§ã€ãã‚Œã‹ã‚‰ã‚ã¾ã‚Šé€²æ©ã—ã¦ã„ã¾ã›ã‚“ãŒã€ã”å®¹èµ¦ã‚’ã€‚ marui.hatena blog.com ä»Šå›žã®ã‚¨ãƒ³ãƒˆãƒªã¯Julia 1.0.5ç”¨ã«æ›¸ã„ã¦ã„ã¾ã™ã€‚ã¨ã„ã†ã®ã‚‚ã€Julia 1.2ã‚„1.3ã‚ãŸã‚Šã‹ã‚‰LibSndFileãªã©ã®ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«ãŒã†ã¾ãã„ã‹ãªã„çŠ¶æ³ã«ãªã£ã¦ã„ã‚‹ã‹ã‚‰ã§ã™ã€‚ï¼ˆåŽŸå› ã¯SampledSignals.jlã«ã‚ã‚‹ã‚ˆã†ã§ã™ãŒã€æœ¬ç¨¿ã‚’åŸ·ç†ã—ã¦ã„ã‚‹12æœˆ19æ—¥æ™‚ç‚¹ã§è§£æ±º
nfunato 2019/12/25
dsp

julia
ãƒªãƒ³ã‚¯
ã•ã¤ã on Twitter: "ã†ã¡ã®ç ”ç©¶å®¤ã®å…ˆç”Ÿã®æœ¬ãŒå‡ºç‰ˆã•ã‚Œã¾ã—ãŸï¼è²·ã£ã¦ãã ã•ã„ï¼ >RT https://t.co/M8ykPZxXp0"
nfunato 2019/05/27
python

dsp

book
ãƒªãƒ³ã‚¯
Next-generation Intel Movidius Vision Processor Emphasizes Floating-point Inference | Berkeley Design Technology, Inc
nfunato 2019/05/24
intel

dsp
ãƒªãƒ³ã‚¯
herumi on Twitter: "ãƒ‡ã‚£ãƒ¼ãƒ—ãƒ©ãƒ¼ãƒ‹ãƒ³ã‚°ã€JITã€ç¬¬2ä¸–ä»£Xeon-SPã€AVX-512ã€SIMDåŒ–ã•ã‚ŒãŸexpã€ã‚ãƒ£ãƒƒã‚·ãƒ¥ã‚³ãƒ³ãƒˆãƒãƒ¼ãƒ«ãªã©ã®ã‚ãƒ¼ãƒ¯ãƒ¼ãƒ‰ã«èˆˆå‘³ãŒã‚ã£ã¦Intelè·äººã•ã‚“ã®ã‚³ãƒ¼ãƒ‰ã‚’èªã‚“ã§ã¿ãŸã„äººå‘ã‘å°Žå…¥è¨˜äº‹ã¨ã—ã¦æ›¸ãã¾ã—ãŸã€‚ã€Œãã“ã¾ã§ã‚„ã‚‹â€¦ https://t.co/eVp6WMXgOJ"
ãƒ‡ã‚£ãƒ¼ãƒ—ãƒ©ãƒ¼ãƒ‹ãƒ³ã‚°ã€JITã€ç¬¬2ä¸–ä»£Xeon-SPã€AVX-512ã€SIMDåŒ–ã•ã‚ŒãŸexpã€ã‚ãƒ£ãƒƒã‚·ãƒ¥ã‚³ãƒ³ãƒˆãƒãƒ¼ãƒ«ãªã©ã®ã‚ãƒ¼ãƒ¯ãƒ¼ãƒ‰ã«èˆˆå‘³ãŒã‚ã£ã¦Intelè·äººã•ã‚“ã®ã‚³ãƒ¼ãƒ‰ã‚’èªã‚“ã§ã¿ãŸã„äººå‘ã‘å°Žå…¥è¨˜äº‹ã¨ã—ã¦æ›¸ãã¾ã—ãŸã€‚ã€Œãã“ã¾ã§ã‚„ã‚‹â€¦ https://t.co/eVp6WMXgOJ
nfunato 2019/05/08
dsp

compiler
ãƒªãƒ³ã‚¯
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Online ISSN : 1883-8170 Print ISSN : 0453-4662 ISSN-L : 0453-4662
nfunato 2018/09/12
dsp
ãƒªãƒ³ã‚¯
ã‚«ãƒ«ãƒžãƒ³ãƒ•ã‚£ãƒ«ã‚¿ã®ã‚³ãƒ¼ãƒ‰æ¯”è¼ƒã€numpy, pytorch, eagerã€‘ - HELLO CYBERNETICS
ã¯ã˜ã‚ã« ã‚³ãƒ¼ãƒ‰æ¯”è¼ƒ numpy pytorch TensorFlow eager execution é€Ÿåº¦ã¨çµæžœã®æ¯”è¼ƒ çµæžœ ç¬¬äºŒå›žæˆ¦ çµæžœ ã¯ã˜ã‚ã« æœ€è¿‘ã‚ãŸã—ã¯TensorFlowã«ãƒœã‚³ãƒœã‚³ã«ã•ã‚Œã¦ã„ã¾ã™ã€‚ è¨ˆç®—ã‚°ãƒ©ãƒ•ã‚’æ›¸ã„ã¦ã€sess.runã™ã‚‹ã¾ã§ã¯ä½•ãŒèµ·ã“ã‚‹ã‹ã‚ã‹ã‚‰ãªã„ï¼ä½•ã‹ãŒèµ·ã“ã£ã¦ã‚‚ä½•ãŒèµ·ã“ã£ã¦ã„ã‚‹ã‹ã¯åˆ†ã‹ã‚‰ãªã„ï¼ ãã‚“ãªçŠ¶æ…‹ã‹ã‚‰ã€TensorFlow eager executionã®ç™»å ´ã§è§£æ”¾ã•ã‚ŒãŸï¼â€¦â€¦ã‹ã«æ€ãˆã¾ã—ãŸã€‚ ä»Šå›žã¯ä¸‹è¨˜ã®TensorFlowã¨numpyã«ã‚ˆã‚‹ã‚«ãƒ«ãƒžãƒ³ãƒ•ã‚£ãƒ«ã‚¿ã®å®Ÿè£…ä¾‹ã«è¦‹ã¦ã€ ã“ã‚ŒãŒTensorFlow eager executionã§ã©ã‚Œãã‚‰ã„æ¥½ã«ãªã‚‹ã‹ã‚’è©¦ã—ã¦ã¿ã¾ã—ãŸï¼ˆã‚„ã‚‹å‰ã‹ã‚‰ãã‚Œã»ã©æ¥½ã§ã¯ãªã„ã“ã¨ã¯åˆ†ã‹ã£ã¦ã„ãŸï¼‰ã€‚ ã‚«ãƒ«ãƒžãƒ³ãƒ•ã‚£ãƒ«ã‚¿ã¨ã„ãˆã°ç†è«–ã¯éžå¸¸ã«é›£è§£ã§ã™ãŒã€å®Ÿè£…ã¯æ„å¤–ã¨æ¥½ãƒãƒ³ã§ã€å®Ÿç”¨ä¸Šéžå¸¸ã«å„ªã‚ŒãŸäºˆæ¸¬ãƒ¢ãƒ‡ãƒ«ï¼ˆã¨è¨€ã£ã¦ã„ã„ã‹ã¯å¾®å¦™ã§
nfunato 2018/03/08
dsp

python

numpy

PyTorch
ãƒªãƒ³ã‚¯
Tutorials
Each tutorial will lead you step-by-step through some common data analysis tasks. While GW data can be analyzed using libraries in many software languages (C, C++, Matlab, etc.), most of these tutorials use Python. See also the software page for more examples.
nfunato 2017/06/03
dsp

python
ãƒªãƒ³ã‚¯
GitHub - grame-cncm/faust: Functional programming language for signal processing and sound synthesis
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nfunato 2017/01/04
dsp
ãƒªãƒ³ã‚¯
Pythonã§éŸ³éŸ¿ä¿¡å·å‡¦ç†(2) - Qiita
ã“ã®è¨˜äº‹ã¯Python Advent Calendarã®17æ—¥ç›®ã®è¨˜äº‹ã§ã™ã€‚åŽ»å¹´ã®è¨˜äº‹ã§æ›¸ã‹ãªã‹ã£ãŸPythonã‚’ä½¿ã£ãŸéŸ³éŸ¿ä¿¡å·å‡¦ç†é–¢é€£ã®å†…å®¹ã«ã¤ã„ã¦æ›¸ãã¾ã™ã€‚ ç›®æ¬¡ ã‚µãƒ³ãƒ—ãƒªãƒ³ã‚°ãƒ¬ãƒ¼ãƒˆã‚’å¤‰æ›ã—ãŸã„ waveãƒ¢ã‚¸ãƒ¥ãƒ¼ãƒ«ã§24bitã®éŸ³å£°ãƒ•ã‚¡ã‚¤ãƒ«ã‚’èªã¿ãŸã„ ç¾¤é…å»¶ã‚’scipy.signal.group_delayã§æŽ¨å®šã—ãŸã„ ãƒ•ãƒ¬ãƒ¼ãƒ å‡¦ç†ã‚’numpyã®strideãƒˆãƒªãƒƒã‚¯ã‚’ä½¿ã£ã¦è¡Œã„ãŸã„(ã‚¹ãƒšã‚¯ãƒˆãƒã‚°ãƒ©ãƒ ã‚’æç”»ã—ãŸã„) TSPä¿¡å·ã‚’ç”Ÿæˆã—ãŸã„ é›¶ç‚¹ã€æ¥µã‚’å¯è¦–åŒ–ã—ãŸã„ ã‚µãƒ³ãƒ—ãƒªãƒ³ã‚°ãƒ¬ãƒ¼ãƒˆã‚’å¤‰æ›ã—ãŸã„ ã‚µãƒ³ãƒ—ãƒªãƒ³ã‚°ãƒ¬ãƒ¼ãƒˆã‚’å¤‰æ›ã™ã‚‹ãŸã‚ã«ã¯ã€å…ƒã®ã‚µãƒ³ãƒ—ãƒªãƒ³ã‚°ãƒ¬ãƒ¼ãƒˆã¨å¤‰æ›ã—ãŸã„ã‚µãƒ³ãƒ—ãƒªãƒ³ã‚°ãƒ¬ãƒ¼ãƒˆãŒæ•´æ•°æ¯”ã§ã‚ã‚Œã°ã‚¢ãƒƒãƒ—/ãƒ€ã‚¦ãƒ³ã‚µãƒ³ãƒ—ãƒªãƒ³ã‚°ã©ã¡ã‚‰ã‹ä¸€æ–¹ã ã‘ã§æ¸ˆã¿ã¾ã™ãŒã€æœ‰ç†æ•°æ¯”ã®å ´åˆã¯ãã‚Œãžã‚Œã®ã‚µãƒ³ãƒ—ãƒªãƒ³ã‚°ãƒ¬ãƒ¼ãƒˆã®æœ€å°å…¬å€æ•°ã«ã‚¢ãƒƒãƒ—ã‚µãƒ³ãƒ—ãƒªãƒ³ã‚°ã—ã¦ã‹ã‚‰ã€æ±‚ã‚ãŸã„ã‚µãƒ³ãƒ—ãƒªãƒ³ã‚°ãƒ¬ãƒ¼ãƒˆã«ãƒ€ã‚¦ãƒ³ã‚µãƒ³ãƒ—ãƒªãƒ³ã‚°ã™ã‚‹
nfunato 2016/12/17
dsp

python
ãƒªãƒ³ã‚¯
music-dsp FAQ
nfunato 2016/12/15
dsp

music
ãƒªãƒ³ã‚¯
Conal Elliott - Generic FFT - Silicon Valley Haskell
nfunato 2016/09/05
haskell

fft

dsp

video
ãƒªãƒ³ã‚¯
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nfunato 2016/06/24
ARM

dsp
ãƒªãƒ³ã‚¯
OCamlã§ä¿¡å·å‡¦ç† - Qiita
ã¯ã˜ã‚ã« OCamlã§éŸ³å£°ãƒ‡ãƒ¼ã‚¿ã«ãƒ•ã‚£ãƒ«ã‚¿ã‚’æŽ›ã‘ã¦ãƒªã‚¢ãƒ«ã‚¿ã‚¤ãƒ å†ç”Ÿã™ã‚‹ã®ã‚’è©¦ã—ã¾ã™ï¼ˆå¤šåˆ†ã“ã†ã„ã†ã®ã¯Cã‹C++ã‚ãŸã‚Šã§ã‚„ã‚‹ã®ãŒè‰¯ã„ã¨æ€ã„ã¾ã™ãŒï¼‰ã€‚ ã‚¹ãƒšãƒƒã‚¯ ã‚¹ãƒšãƒƒã‚¯ãŒé«˜ããªã„ãƒžã‚·ãƒ³ã§ã‚‚ãƒªã‚¢ãƒ«ã‚¿ã‚¤ãƒ å†ç”Ÿå‡ºæ¥ã‚‹ã®ã‚’ç¢ºèªã—ãŸã„ã®ã§Raspberry Piã§è©¦ã—ã¾ã™ã€‚ ãƒžã‚·ãƒ³: Raspberry Pi (Model B) OS: RASPBIAN Debian Wheezy (September 2014) USB Audio I/F: BEHRINGER UCA202 ä½¿ç”¨ã™ã‚‹ãƒ•ã‚£ãƒ«ã‚¿ ä»Šå›žã¯Reaktorã§ä½œã£ãŸæ¬¡ã®ãƒãƒ¼ãƒ‘ã‚¹ãƒ•ã‚£ãƒ«ã‚¿ã‚’OCamlã§å®Ÿè£…ã—ã¾ã™ã€‚Reaktorã¯åŠé¡ã‚»ãƒ¼ãƒ«ã®ã¨ãã«è²·ã†ã®ãŒãŠã™ã™ã‚ã§ã™ã€‚ å„ã‚ªãƒ–ã‚¸ã‚§ã‚¯ãƒˆã®å…¥å‡ºåŠ›ã«æ•°å€¤ä»¥å¤–ã®æ–‡å—åˆ—ãŒæ›¸ã‹ã‚Œã¦ã„ã‚‹ã‚‚ã®ãŒã‚ã‚Šã¾ã™ãŒã€æ–‡å—åˆ—ãŒä¸€è‡´ã—ã¦ã„ã‚‹ã¨ã“ã‚ã¯ç·šã§ç¹‹ãŒã£ã¦ã„ã‚‹ã¨è€ƒãˆã¦è‰¯ã„ã§ã™ã€‚æ–‡å—åˆ—ã§æŽ¥ç¶šã‚’è¡¨ç¾ã™ã‚‹ã“ã¨ã«ã‚ˆã‚Šã‚¹ãƒ‘ã‚²ãƒƒãƒ†ã‚£
nfunato 2016/05/29
ocaml

dsp
ãƒªãƒ³ã‚¯
Fast Fourier Analysis on Groups
nfunato 2016/04/25
dsp
ãƒªãƒ³ã‚¯
Peak Detection in the Python World
As I was working on a signal processing project for Equisense, Iâ€™ve come to need an equivalent of the MatLab findpeaks function in the Python world. Detecting peaks with MatLab For those not familiar to digital signal processing, peak detection is as easy to understand as it sounds: this is the process of finding peaks - we also names them local maxima or local minima - in a signal. The MatLab DSP
nfunato 2015/11/07
python

dsp

matlab
ãƒªãƒ³ã‚¯
Scipy FFT Frequency Analysis of very noisy signal
nfunato 2015/05/04
python

dsp

pydata
ãƒªãƒ³ã‚¯
GitHub - rlabbe/Kalman-and-Bayesian-Filters-in-Python: Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters,
Introductory text for Kalman and Bayesian filters. All code is written in Python, and the book itself is written using Jupyter Notebook so that you can run and modify the code in your browser. What better way to learn? "Kalman and Bayesian Filters in Python" looks amazing! ... your book is just what I needed - Allen Downey, Professor and O'Reilly author. Thanks for all your work on publishing your
nfunato 2015/03/07
python

filter

dsp
ãƒªãƒ³ã‚¯
ãƒŽãƒƒãƒ
nfunato 2015/02/07
dsp
ãƒªãƒ³ã‚¯
Python(NumPy, SciPy)ã§ãƒ•ã‚©ãƒ«ãƒžãƒ³ãƒˆåˆ†æžã‚’è¡Œã†
RubyMotionãƒ–ãƒ¼ãƒ ãŒä¿ºã®ä¸ã§å·»ãèµ·ã“ã‚Šã€ç¤¾å†…ã§å¸ƒæ•™æ´»å‹•ã‚’ã—ã¦ã„ã¾ã—ãŸã€‚ã€Œã‚„ã£ã±ã‚Šè‡ªåˆ†ã§ã‚¢ãƒ—ãƒªã‚’ä½œã£ã¦ãƒªãƒªãƒ¼ã‚¹ã¾ã§æŒã£ã¦ã„ã‹ãªã„ã¨ã€ãã¡ã‚“ã¨è©•ä¾¡ã§ããªã„ã‚ˆãã€ã¨ã„ã†ã“ã¨ã§ã€å‰ã‹ã‚‰ä½œã‚ŠãŸã‹ã£ãŸéŸ³å£°è§£æžã‚¢ãƒ—ãƒªã‚’ä½œã‚Šå§‹ã‚ã¾ã—ãŸã€‚ ãã®ãŸã‚ã«ä¿¡å·å‡¦ç†ã®ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã‚’å‹‰å¼·ã—ã¾ã—ãŸãŒã€ã‚€ã€é›£ã—ã„ã€‚ ã•ã¦ã€RubyMotionã¯vendorãƒ‡ã‚£ãƒ¬ã‚¯ãƒˆãƒªã«é©å½“ã«.mã¨.hã‚’çªã£è¾¼ã‚“ã§ãŠã„ã¦ã€Rakefileã§æŒ‡å®šã—ã¦ãŠã‘ã°Objective-Cã®ã‚³ãƒ¼ãƒ‰ã‚’ã‚³ãƒ³ãƒ‘ã‚¤ãƒ«ã—ã¦ãã‚Œã¾ã™ã€‚ ä¿¡å·å‡¦ç†ã¯ãªã‚‹ã¹ãé«˜é€ŸåŒ–ã—ãŸã„ã®ã§ã€Objective-C(ã¨ã„ã†ã‹ã€Cè¨€èªž)ã§æ›¸ããŸã„ã§ã™ã€‚RubyMotionã§ã¯ã€ãã†ã„ã£ãŸç”¨é€”ã«ã‚‚æ¯”è¼ƒçš„æ¥½ã«å¯¾å¿œã§ãã‚‹æ„Ÿã˜ã«ãªã£ã¦ã„ã‚‹ã‚ã‘ã§ã™ã€‚ ä¿¡å·å‡¦ç†ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã‚’ä¿ºãŒCè¨€èªžã§å®Ÿè£…ã™ã‚‹å¿…è¦æ€§ Cè¨€èªžã§è¤‡é›‘ãªä¿¡å·å‡¦ç†ã®ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã®å®Ÿè£…ã¯é›£ã—ã„ã§ã™ã€‚ ã‚¤ãƒ³ã‚¿ãƒ¼ãƒãƒƒãƒˆã«è½ã¡ã¦ã„ã‚‹å®Ÿè£…s
nfunato 2015/02/03
dsp
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ç·šå½¢äºˆæ¸¬åˆ†æžï¼ˆLPCï¼‰ - äººå·¥çŸ¥èƒ½ã«é–¢ã™ã‚‹æ–å‰µéŒ²
Pythonã§éŸ³å£°ä¿¡å·å‡¦ç†ï¼ˆ2011/05/14ï¼‰ã®ç¬¬20å›žç›®ã€‚ ä»¥å‰ã€ã‚±ãƒ—ã‚¹ãƒˆãƒ©ãƒ åˆ†æžï¼ˆ2012/12/21ï¼‰ã®ã¨ã“ã‚ã§å£°é“ã®ç‰¹æ€§ã‚’æ„å‘³ã™ã‚‹ã‚¹ãƒšã‚¯ãƒˆãƒ«åŒ…çµ¡ã‚’æ±‚ã‚ãŸã€‚ä»Šå›žã¯ã€ç·šå½¢äºˆæ¸¬åˆ†æžï¼ˆLinear Predictive Codingï¼‰ã¨ã„ã†åˆ¥ã®æ‰‹æ³•ã§ã‚¹ãƒšã‚¯ãƒˆãƒ«åŒ…çµ¡ã‚’æ±‚ã‚ã¦ã¿ãŸã€‚ã“ã®æ–¹æ³•ã§æ±‚ã‚ãŸã‚¹ãƒšã‚¯ãƒˆãƒ«åŒ…çµ¡ã¯ã€LPCã‚¹ãƒšã‚¯ãƒˆãƒ«åŒ…çµ¡ï¼ˆLPC Spectral Envelopeï¼‰ã¨å‘¼ã°ã‚Œã‚‹ã¨ã®ã“ã¨ã€‚ ç·šå½¢äºˆæ¸¬åˆ†æž ä»¥ä¸‹ã®èª¬æ˜Žã¯ã€ Linear Prediction and Levinson-Durbin Algorithm (PDF) ã®è³‡æ–™ã‚’å‚è€ƒã«ã—ã¾ã—ãŸã€‚ã“ã“ã§ã¯ã€è©³ã—ã„å°Žå‡ºã¯çœã„ã¦ã€ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°ã§ãã‚‹çµæžœã ã‘ã‚’ã¾ã¨ã‚ã¦ã„ã¾ã™ã€‚ ç·šå½¢äºˆæ¸¬åˆ†æžã§ã¯ã€éŽåŽ»ã®ä¿¡å·ã‹ã‚‰æœªæ¥ã®ä¿¡å·ã‚’ä»¥ä¸‹ã®å¼ã§äºˆæ¸¬ã™ã‚‹ã€‚ ã“ã®å¼ã¯ã€æ™‚åˆ»nã®ä¿¡å·ã®äºˆæ¸¬å€¤ã¯ã€éŽåŽ»kå€‹ã®ä¿¡å·å€¤ã«é‡ã¿ä¿‚æ•° a_i ã§é‡ã¿ä»˜ã‘ã—ã¦è¶³ã—åˆ
nfunato 2015/02/03
dsp
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