Merge branch 'dev'

lib/numerics/cwt/Cwt.md

@@ -13,9 +13,7 @@
 | **PineScript**   | [cwt.pine](cwt.pine)                       |
 
 - CWT computes the magnitude of the Continuous Wavelet Transform at a specified scale using the Morlet wavelet, providing a time-frequency decomposit...
-- Parameterized by `scale` (default 10.0), `omega0` (default 6.0).
-- Output range: Varies (see docs).
-- Requires windowSize (2K+1) bars of warmup before first valid output (IsHot = true), where K = round(3 × scale).
+- **Similar:** [DWT](../dwt/Dwt.md), [FFT](../fft/Fft.md) | **Trading note:** Continuous Wavelet Transform; multi-resolution time-frequency analysis for cycle detection.
 - Validated against TA-Lib, Skender, and Tulip reference implementations where available.
 
 CWT computes the magnitude of the Continuous Wavelet Transform at a specified scale using the Morlet wavelet, providing a time-frequency decomposition that measures the energy content of a specific frequency band at each point in time. Unlike Fourier analysis which loses time localization, the wavelet transform maintains both time and frequency information simultaneously. The output is a non-negative magnitude series where peaks indicate strong presence of the target frequency (determined by the scale parameter) and troughs indicate absence of that frequency component.
@@ -97,4 +95,4 @@ Strong SIMD candidate for batch: inner products are FMA-vectorizable. AVX2 proce
 
 - Morlet, J. et al. (1982). "Wave propagation and sampling theory." *Geophysics*, 47(2): 203-236
 - Torrence, C. & Compo, G.P. (1998). "A Practical Guide to Wavelet Analysis." *Bulletin of the American Meteorological Society*
-- PineScript reference: [`cwt.pine`](cwt.pine)
+- PineScript reference: [`cwt.pine`](cwt.pine)