Digital Filters by R.W.Hamming. Implementation.
Project description
hamming-digital-filters
Digital filters by R.W.Hamming. Implementation.
See wiki. Feel free to share your feedback and report issues.
Modules
gradient
Differentiation Filters:
- gradient_nr Nonrecursive differentiation filter
lowpass
Low-Pass Filters:
- lowpass_nr Nonrecursive low-pass filter
References
- Digital Filters by R.W.Hamming,third edition; Dover publications, INC., Mineola, New York; ISBN 0-486-65088-X
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
hamming_digital_filters-0.0.6.tar.gz
(387.4 kB
view hashes)
Built Distribution
Close
Hashes for hamming_digital_filters-0.0.6.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 37b62477d15cc88a906b2af9d95c20a6ec770a28c498bd30ab9fbdc965645635 |
|
MD5 | d6b1ee4ccd5cefe5eb7e115ae4695ed3 |
|
BLAKE2b-256 | ee9cc612bd7f87c7c3c2dedb4b2c6d2219917d0ba81c5e56cbabeffd8a427a36 |
Close
Hashes for hamming_digital_filters-0.0.6-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 55ecd957f8966575d00f3ace112dec44ec25bbdfd28c7e4d1e6059df037e9390 |
|
MD5 | 668337521bdbc39643e66590dcf1ebe3 |
|
BLAKE2b-256 | ced04d7cc5722b0c12a28c43eacfd51623b8938434e01f6258634daeeba558a5 |