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Everything about Constant-Q transform
Short-time Fourier transform with variable resolution
In mathematics and signal processing, the constant-Q transform and variable-Q transform, simply known as CQT and VQT, transforms a data series to the frequency domain. It is related to the Fourier transform and very closely related to the complex Morlet wavelet transform. Its design is suited for musical representation. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Constant-Q transformA 5-minute orientation
- Skim a recent paper: SCQT-MaxViT: Speech Emotion Recognition With Constant-Q Transform and Multi-Axis Vision TransformerInfluential work since 2022
- Pick up a classic book: Operations ManagementThe most-reprinted book on the subject
- Read the landmark paper: Structure of low dielectric constant to extreme low dielectric constant SiCOH films: Fourier transform infrared spectroscopy characterizationCited 681 times
- Go sideways: Short-time Fourier transformA closely related topic
- Go sideways: Gabor transformA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Structure of low dielectric constant to extreme low dielectric constant SiCOH films: Fourier transform infrared spectroscopy characterization
Calculation of a constant Q spectral transform
Constant depth circuits, Fourier transform, and learnability
Single‐point (constant‐time) imaging in radiofrequency Fourier transform electron paramagnetic resonance†
Bridging the gap between the short-time Fourier transform (STFT), wavelets, the constant-Q transform and multi-resolution STFT
Low frequency frame-wise normalization over constant-Q transform for playback speech detection
Constant geometry algorithm for discrete cosine transform
Laplace Transform Method for Economic Models with Constant Proportional Caputo Derivative
🆕 Influential since 2022
SCQT-MaxViT: Speech Emotion Recognition With Constant-Q Transform and Multi-Axis Vision Transformer
On significance of constant-Q transform for pop noise detection
Constant Q-transform-based deep learning architecture for detection of obstructive sleep apnea
A sine transform based preconditioned MINRES method for all-at-once systems from constant and variable-coefficient evolutionary PDEs
The Rishi Transform method for solving multi-high order fractional differential equations with constant coefficients
📚 Books worth reading
Operations ManagementRoberta S. Russell, Bernard Taylor · 1998
Treaty Occupationay ToxicologySuelen Queiroz · 2010
Practical Electronics for InventorsPaul Scherz · 2000- 📕Structural Aspects of Quantum Field Theory and Noncommutative GeometryGerhard Grensing · 2013
Apache Solr Beginner's GuideAlfredo Serafini · 2013
The Art and Science of Ultra-Wideband AntennasHans G. Schantz · 2005
Radio engineer's pocket bookFrederick James Camm · 1941- 📕Badrīvikrama Thāpāko jīvanī, vyaktitva ra sāmājika yogadānaVinoda Godāra Thāpā · 2000
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Short-time Fourier transform The short-time Fourier transform (STFT) is a Fourier-related transform used to determine the sinusoidal frequency and phase content of local sections of…
- Gabor transform The Gabor transform, named after Dennis Gabor, is a special case of the short-time Fourier transform. It is used to determine the sinusoidal frequency…
- Wavelet A wavelet is a wave-like oscillation with an amplitude that begins at zero, increases or decreases, and then returns to zero one or more times. Wavelets…
- Digital signal processing Digital signal processing (DSP) is the use of digital processing, such as by computers or more specialized digital signal processors, to perform a wide…
- Upsampling In digital signal processing, upsampling, expansion, and interpolation are terms associated with the process of resampling in a multi-rate digital signal…
- Wavelet transform In mathematics, a wavelet series is a representation of a square-integrable (real- or complex-valued) function by a certain orthonormal series generated…
- Spectrum analyzer A spectrum analyzer measures the magnitude of an input signal versus frequency within the full frequency range of the instrument. The primary use is to…
- Low-pass filter A low-pass filter is a filter that passes signals with a frequency lower than a selected cutoff frequency and attenuates signals with frequencies higher…