DSP Implementation of a Low-Delay Filter Bank for Audio Applications
Bibliographic record
Abstract
An efficient implementation of a cosine modulated filter bank on a Motorola fixed-point digital signal processor (DSP) is presented. For M = 8 subbands and a filter length of N = 128 coefficients a maximum of 183 instructions per input sample (8.1 MIPS at 44.1 kHz) in both analysis and synthesis filter bank are required while having an overall delay time of 136 samples equivalent to 3.08 ms at 44.1 kHz sampling rate with a linear-phase filter prototype. The cosine modulated filter bank is implemented with a polyphase realization. The approach is extended to work also for lowpass filter prototypes which are non linear-phase. Thus with the modified approach an efficient polyphase realization of low-delay filter banks is possible. With the low-delay approach the overall delay time can be reduced to 3M samples (0.5 ms for M = 8 at 44.1 kHz sampling rate) in the DSP implementation while having quite low stopband attenuations. General Terms Algorithms
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.014 | 0.006 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".