hukenovs / dsp-theory

Theory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.

Date Created 2019-07-10 (5 years ago)

Commits 111 (last one 2 months ago)

Stargazers 1,005 (5 this week)

Watchers 60 (0 this week)

Forks 179

License gpl-3.0

Ranking

RepositoryStats indexes 595,856 repositories, of these hukenovs/dsp-theory is ranked #51,013 (91st percentile) for total stargazers, and #33,601 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #1,048/17,543.

hukenovs/dsp-theory is also tagged with popular topics, for these it's ranked: python (#2,847/22324), tutorial (#257/1520), numpy (#78/544), fpga (#38/488), dsp (#20/245)

Other Information

hukenovs/dsp-theory has 1 open pull request on Github, 15 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there is 1 open issue and 5 closed issues.

All Topics

dsp fft fir fpga numpy scipy python lessons lectures tutorial convolution numpy-tutorial fast-fourier-transform finite-impulse-response digital-signal-processing

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40 commits on the default branch (master) since jan '22

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The primary language is Jupyter Notebook but there's also others...

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updated: 2024-12-21 @ 03:57am, id: 196191272 / R_kgDOC7GkKA