Digital Filter Design and Implementation
Digital Filter Design and Implementation is a research topic within Signal Processing. Science Explorer counts 19k research works in it since 1951. 10.4% of them reached the world's top 10% most cited for their field and year.
This cluster of papers covers advanced techniques in digital signal processing, including FFT algorithms, filter banks, DCT approximation, FIR filter design, multiplierless algorithms, digital audio coding, software radio applications, polyphase filters, variable fractional delay filters, and the use of semidefinite programming for optimization.
- FFT
- Filter Banks
- DCT
- FIR Filters
- Multiplierless Algorithms
- Digital Audio Coding
- Software Radio
- Polyphase Filters
- Variable Fractional Delay
- Semidefinite Programming
- Research works
- 19k fractional, since 1951
- In the world top 10%
- 2k per year above
- Top-10% rate
- 10.4% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- -28% the tick is no change
Which countries lead Digital Filter Design and Implementation research?
By volume, China and India publish the most (305 and 282 works in 2022–2025).
By volume, 2022–2025
- 1 China 305 works
- 2 India 282 works
- 3 United States 124 works
- 4 Japan 47 works
- 5 Germany 44 works
- 6 Russia 28 works
- 7 France 27 works
- 8 Italy 24 works
- 9 South Korea 23 works
- 10 United Kingdom 22 works
How concentrated that is
The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.
Shares of the rows listed above, not of the whole node.
Which institutions lead Digital Filter Design and Implementation research?
By volume in 2022–2025, Toho University publishes the most Digital Filter Design and Implementation research, followed by University of Electronic Science and Technology of China and Xidian University.
By volume, 2022–2025
- 1 Toho University Japan 14 works
- 2 University of Electronic Science and Technology of China China 13 works
- 3 Xidian University China 8 works
- 4 Beijing Institute of Technology China 8 works
- 5 Amrita Vishwa Vidyapeetham India 7 works
- 6 National University of Defense Technology China 7 works
- 7 University of Science and Technology of China China 6 works
- 8 Zhejiang University China 6 works
- 9 Islamic University of Science and Technology India 6 works
- 10 National Institute of Technology Calicut India 6 works
Who are the leading researchers in Digital Filter Design and Implementation?
The most-cited researchers publishing on Digital Filter Design and Implementation include Robert M. Gray.
- 1 Robert M. Gray 3.5k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Digital Filter Design and Implementation research done?
The largest centres of Digital Filter Design and Implementation research in 2022–2025 are Beijing (China), Tokyo (Japan), Xi'an (China) and Nanjing (China).
Where is the best place to study Digital Filter Design and Implementation?
Among universities, judged by research, Toho University, University of Electronic Science and Technology of China and Xidian University score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | Toho University Japan | 60.0 | 0.0% | 148.0× | 14 | +9.8% |
| 2 | University of Electronic Science and Technology of China China | 47.6 | 3.4% | 9.0× | 13 | -14.1% |
| 3 | Xidian University China | 35.6 | 10.2% | 8.9× | 8 | -55.3% |
Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.
Is Digital Filter Design and Implementation research growing?
Output in 2018–2022 was 28% lower than in 2013–2017, peaking in 2002.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Which topics inside it are moving
Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.