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. 9.9% 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%
- 1.9k per year above
- Top-10% rate
- 9.9% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- +4% the tick is no change
- Largest producer
China
36% of the 10 largest, 2022-now
Which countries lead Digital Filter Design and Implementation research?
By volume, China and India publish the most (427 and 338 works in 2022-now).
By volume, 2022-now
- 1
China 427 works
- 2
India 338 works
- 3
United States 152 works
- 4
Japan 59 works
- 5
Germany 59 works
- 6
Russia 35 works
- 7
France 32 works
- 8
United Kingdom 31 works
- 9
South Korea 31 works
- 10
Italy 29 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-now, Chinese Academy of Sciences publishes the most Digital Filter Design and Implementation research, followed by University of Electronic Science and Technology of China and Toho University.
By volume, 2022-now
- 1
Chinese Academy of Sciences
China 18 works
- 2
University of Electronic Science and Technology of China
China 17 works
- 3
Toho University
Japan 16 works
- 4
Xidian University
China 14 works
- 5
Centre National de la Recherche Scientifique
France 12 works
- 6
Beijing Institute of Technology
China 10 works
- 7
Amrita Vishwa Vidyapeetham
India 9 works
- 8
Vellore Institute of Technology University
India 9 works
- 9
University of Science and Technology of China
China 8 works
- 10
National University of Defense Technology
China 8 works
Who are the leading researchers in Digital Filter Design and Implementation?
The most-cited researchers publishing on Digital Filter Design and Implementation include Sanjit Mitra, H. Vincent Poor and Anil Kumar Jain.
- 1
Sanjit Mitra
India 167k citations
- 2
H. Vincent Poor
United States 165k citations
- 3
Anil Kumar Jain
United States 160k citations
- 4
David L. Donoho
United States 154k citations
- 5
Alan Conrad Bovik
United States 150k citations
- 6
Stephen Boyd
United States 142k 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-now are Beijing (China), Xi'an (China), Tokyo (Japan) and Nanjing (China).
Where is the best place to study Digital Filter Design and Implementation?
Among universities, judged by research, Beijing Institute of Technology, University of Science and Technology of China and University of Electronic Science and Technology of China 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.
One dot per university in the first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | Beijing Institute of Technology |
60.4 | 33.7% | 5.8× | 10 | -44.5% |
| 2 | University of Science and Technology of China |
58.1 | 25.8% | 5.0× | 8 | +218.6% |
| 3 | University of Electronic Science and Technology of China |
56.8 | 10.7% | 10.3× | 16 | -3.9% |
| 4 | Xidian University |
56.7 | 9.7% | 13.6× | 14 | +144.8% |
| 5 | Toho University |
55.8 | 3.0% | 114.4× | 16 | +157.6% |
| 6 | Amrita Vishwa Vidyapeetham |
24.6 | 8.3% | 11.8× | 9 | +2.8% |
| 7 | National University of Defense Technology |
23.7 | 10.7% | 7.6× | 8 | +17.2% |
| 8 | Vellore Institute of Technology University |
22.4 | 11.2% | 6.1× | 9 | -58.4% |
| 9 | Zhejiang University |
20.5 | 8.6% | 2.1× | 8 | - |
Universities only. The score blends excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.
Every institution in Digital Filter Design and Implementation, country by countryIs Digital Filter Design and Implementation research growing?
Output in 2022-2025 was 4% higher than in 2018-2021, peaking in 2002. The fastest-growing topics are Digital Filter Design and Implementation.
The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.
Its share of all research
Growing output can still be a shrinking share: all of science grows. This is Digital Filter Design and Implementation as a percentage of every work published that year, 0.0058% in 2024.
Fractional works of Digital Filter Design and Implementation over all fractional works that year. How the balance of science has shifted.
How much of it reaches the world top 10%
Year by year.
Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.
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.
Discussion
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