diff --git a/examples/swd.ipynb b/examples/swd.ipynb new file mode 100644 index 0000000..65d77f5 --- /dev/null +++ b/examples/swd.ipynb @@ -0,0 +1,422 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Swarm Decomposition (SWD)\n", + "\n", + "This notebook introduces **Swarm Decomposition (SWD)** — a non-stationary\n", + "signal analysis method that uses *swarm intelligence* rather than empirical\n", + "sifting (EMD) or a joint variational problem (VMD).\n", + "\n", + "## Why swarm intelligence?\n", + "\n", + "Biological swarms solve hard tasks (hunting, flocking) through simple local\n", + "rules. SWD turns that idea into a signal filter:\n", + "\n", + "- the **input** is the path of a virtual *prey*;\n", + "- a **swarm** of agents chases the prey under driving + cohesion forces;\n", + "- the swarm’s collective trajectory is the **filter output**.\n", + "\n", + "Under the right hunting parameters the output isolates a single oscillatory\n", + "component. Repeating the process on the residual yields a full decomposition.\n", + "\n", + "**Reference**\n", + "\n", + "> G. K. Apostolidis, L. J. Hadjileontiadis. \n", + "> *Swarm decomposition: A novel signal analysis using swarm intelligence.* \n", + "> Signal Processing, 132:40–50, 2017. \n", + "> https://doi.org/10.1016/j.sigpro.2016.09.004\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Imports" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Swarm Decomposition (SWD)\n" + ] + } + ], + "source": [ + "import sys\n", + "from pathlib import Path\n", + "\n", + "ROOT = Path.cwd().resolve()\n", + "if ROOT.name == \"examples\":\n", + " ROOT = ROOT.parent\n", + "if str(ROOT) not in sys.path and (ROOT / \"pysdkit\").exists():\n", + " sys.path.insert(0, str(ROOT))\n", + "\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from scipy.signal.windows import hann\n", + "\n", + "from pysdkit import SWD, swd\n", + "from pysdkit._osd.swd import swf_params_from_frequency, bandpass_swf\n", + "\n", + "print(SWD())\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2. Core idea\n", + "\n", + "### 2.1 Swarm filtering (SwF)\n", + "\n", + "Each agent $i$ has position $p_i[n]$ and velocity $v_i[n]$. Two forces act:\n", + "\n", + "$$\n", + "F^{\\mathrm{Dr}}_{i}[n] = p_{\\mathrm{prey}}[n] - p_i[n-1]\n", + "\\qquad\\text{(drive toward the prey / input)}\n", + "$$\n", + "\n", + "$$\n", + "F^{\\mathrm{Coh}}_{i}[n]\n", + "=\n", + "\\frac{1}{M-1}\n", + "\\sum_{j\\neq i}\n", + "f\\!\\big(p_i[n-1]-p_j[n-1]\\big),\n", + "\\quad\n", + "f(d)=-\\mathrm{sgn}(d)\\,\\ln\\frac{|d|}{d_{\\mathrm{cr}}}\n", + "$$\n", + "\n", + "(attract when farther than $d_{\\mathrm{cr}}$, repel when closer). Agents are\n", + "updated with flexibility $\\delta$, and the filter output is a scaled sum of\n", + "positions.\n", + "\n", + "### 2.2 Parameter map (from a genetic algorithm)\n", + "\n", + "The authors fit how many agents $M$ and which $\\delta$ recover a tone at\n", + "normalised frequency $\\hat\\omega=\\omega/\\pi$:\n", + "\n", + "$$\n", + "M(\\hat\\omega)=\\big\\lfloor 33.46\\,\\hat\\omega^{-0.735}-29.1\\big\\rceil,\n", + "\\qquad\n", + "\\delta(\\hat\\omega)=-1.5\\,\\hat\\omega^{2}+3.454\\,\\hat\\omega-0.01.\n", + "$$\n", + "\n", + "Slow modes need a *larger, less flexible* swarm; fast modes need the opposite.\n", + "\n", + "### 2.3 Swarm decomposition (sifting)\n", + "\n", + "1. Smooth the residual spectrum (Welch / Savitzky–Golay) and pick the dominant\n", + " peak above threshold $P_{\\mathrm{th}}$.\n", + "2. Run **iterative SwF** with $(M,\\delta)$ for that peak until consecutive\n", + " outputs change by less than $StD_{\\mathrm{th}}$.\n", + "3. Align the component (cross-correlation), subtract it, merge repeats of the\n", + " same band.\n", + "4. Stop when no significant peak remains.\n", + "\n", + "`P_th` controls coarseness: larger → fewer, broader components.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 3. Visualising the $(M, \\delta)$ map" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "omega = np.linspace(0.05, 1.0, 200)\n", + "Ms, ds = zip(*[swf_params_from_frequency(w) for w in omega])\n", + "\n", + "fig, axes = plt.subplots(1, 2, figsize=(10, 3.2), constrained_layout=True)\n", + "axes[0].plot(omega, Ms, color=\"C0\")\n", + "axes[0].set_xlabel(r\"$\\hat\\omega = \\omega / \\pi$\")\n", + "axes[0].set_ylabel(\"M (swarm size)\")\n", + "axes[0].set_title(\"Eq. 9a\")\n", + "\n", + "axes[1].plot(omega, ds, color=\"C1\")\n", + "axes[1].set_xlabel(r\"$\\hat\\omega = \\omega / \\pi$\")\n", + "axes[1].set_ylabel(r\"$\\delta$ (flexibility)\")\n", + "axes[1].set_title(\"Eq. 9b\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 4. Synthetic example (paper-style atoms)\n", + "\n", + "Three windowed tones at $0.2\\pi$, $0.6\\pi$ and $0.7\\pi$ — the same layout as\n", + "`EvaluationSignalGenerator` / `exampleSwD_Synthetic.m`.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "N = 499\n", + "t = np.arange(N)\n", + "\n", + "def atom(t0, f0, T, A):\n", + " win = np.zeros(N)\n", + " a = max(0, int(np.ceil(t0 - T / 2 + 1)) - 1)\n", + " b = min(N, int(np.ceil(t0 + T / 2)))\n", + " w = hann(max(b - a, 1), sym=False)\n", + " win[a : a + len(w)] = w[: len(win[a:b])]\n", + " return A * win * np.cos(f0 * (t - t0))\n", + "\n", + "a1 = atom(250, 0.2 * np.pi, 300, 0.7)\n", + "a2 = atom(125, 0.6 * np.pi, 125, 1.5)\n", + "a3 = atom(375, 0.7 * np.pi, 100, 1.9)\n", + "signal = a1 + a2 + a3\n", + "\n", + "fig, axes = plt.subplots(4, 1, figsize=(10, 6), sharex=True, constrained_layout=True)\n", + "axes[0].plot(t, signal); axes[0].set_ylabel(\"mix\")\n", + "axes[1].plot(t, a1); axes[1].set_ylabel(\"0.2π\")\n", + "axes[2].plot(t, a2); axes[2].set_ylabel(\"0.6π\")\n", + "axes[3].plot(t, a3); axes[3].set_ylabel(\"0.7π\")\n", + "axes[3].set_xlabel(\"sample\")\n", + "plt.suptitle(\"Ground-truth atoms\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 5. Run SWD" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "modes shape: (3, 499)\n", + "dominant frequencies (ω/π): [0.699 0.199 0.598]\n", + "reconstruction rel. error: 1.5567059360665275e-16\n" + ] + } + ], + "source": [ + "swd_c = SWD(P_th=0.05, StD_th=0.05, spectrum=\"welch\", max_components=6, refine=True)\n", + "modes, residue, omegas = swd_c.fit_transform(signal, return_all=True)\n", + "\n", + "print(\"modes shape:\", modes.shape)\n", + "print(\"dominant frequencies (ω/π):\", np.round(omegas, 3))\n", + "recon = modes.sum(axis=0) + residue\n", + "print(\"reconstruction rel. error:\", np.linalg.norm(recon - signal) / np.linalg.norm(signal))" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "L = modes.shape[0]\n", + "fig, axes = plt.subplots(L + 2, 1, figsize=(10, 1.8 * (L + 2)), sharex=True, constrained_layout=True)\n", + "axes[0].plot(t, signal, color=\"C0\"); axes[0].set_ylabel(\"input\")\n", + "for k in range(L):\n", + " axes[k + 1].plot(t, modes[k], color=\"C1\")\n", + " axes[k + 1].set_ylabel(f\"OC {k}\\n{omegas[k]:.2f}π\")\n", + "axes[-1].plot(t, residue, color=\"C3\"); axes[-1].set_ylabel(\"residue\")\n", + "axes[-1].set_xlabel(\"sample\")\n", + "plt.suptitle(\"SWD oscillatory components\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 6. Spectra of the extracted components" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "freqs = np.linspace(0, 1, N // 2 + 1)\n", + "fig, axes = plt.subplots(1, L, figsize=(3.2 * L, 3.0), constrained_layout=True)\n", + "if L == 1:\n", + " axes = [axes]\n", + "for k, ax in enumerate(axes):\n", + " spec = np.abs(np.fft.rfft(modes[k]))\n", + " ax.plot(freqs, spec, color=\"C2\")\n", + " ax.axvline(omegas[k], color=\"C3\", ls=\"--\", lw=1.2)\n", + " ax.set_xlim(0, 1)\n", + " ax.set_title(f\"OC {k}\")\n", + " ax.set_xlabel(r\"$\\omega / \\pi$\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 7. Effect of $P_{\\mathrm{th}}$ (coarse vs fine)\n", + "\n", + "Larger `P_th` keeps only strong peaks → fewer components.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "P_th=0.05 → L=2, ω/π=[0.699 0.199]\n", + "P_th=0.15 → L=2, ω/π=[0.699 0.199]\n", + "P_th=0.30 → L=2, ω/π=[0.699 0.199]\n" + ] + } + ], + "source": [ + "for pth in (0.05, 0.15, 0.3):\n", + " u, _, om = SWD(P_th=pth, StD_th=0.05, refine=False, max_components=8).fit_transform(\n", + " signal, return_all=True\n", + " )\n", + " print(f\"P_th={pth:.2f} → L={u.shape[0]}, ω/π={np.round(om, 3)}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 8. API summary\n", + "\n", + "```python\n", + "from pysdkit import SWD, swd\n", + "\n", + "swd_c = SWD(P_th=0.05, StD_th=0.05, spectrum=\"welch\")\n", + "modes = swd_c.fit_transform(signal) # (L, N)\n", + "modes, residue, omegas = swd_c.fit_transform(signal, return_all=True)\n", + "\n", + "modes = swd(signal, P_th=0.05, StD_th=0.05) # functional API\n", + "```\n", + "\n", + "| Parameter | Role |\n", + "|-----------|------|\n", + "| `P_th` | peak threshold → coarse / fine |\n", + "| `StD_th` | iterative-SwF stop |\n", + "| `spectrum` | `welch` (default), `sg`, or `fft` |\n", + "| `refine` | enable time-domain hunting refiner |\n", + "\n", + "### Practical tips\n", + "\n", + "- Start with `P_th≈0.05`, `StD_th≈0.05` (as in the MATLAB synthetic demo).\n", + "- Prefer `spectrum=\"welch\"` for smoother peak picking (also used in the updated toolbox examples).\n", + "- Very slow modes ($\\hat\\omega\\to 0$) make $M$ large — SWD is usually applied after mild high-pass / resampling, as in the authors’ real-signal demos.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 9. Takeaways\n", + "\n", + "| | EMD | VMD | SWD |\n", + "|--|--|--|--|\n", + "| Mechanism | empirical sifting | joint variational | swarm filtering |\n", + "| Need $K$? | no | yes | no (peak threshold) |\n", + "| Tuning | none / few | $\\alpha$, $K$ | $P_{\\mathrm{th}}$, $StD_{\\mathrm{th}}$ |\n", + "| Core prior | extrema symmetry | compact spectrum | GA-mapped swarm response |\n", + "\n", + "SWD is a data-driven alternative when you want oscillatory components without\n", + "prescribing their number, and when a bio-inspired filter bank is an appealing\n", + "model of the decomposition.\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "pysdkit", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.0" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/pysdkit/_osd/swd.py b/pysdkit/_osd/swd.py new file mode 100644 index 0000000..2ce4c93 --- /dev/null +++ b/pysdkit/_osd/swd.py @@ -0,0 +1,410 @@ +# -*- coding: utf-8 -*- +""" +Created on 2025/07/23 +@author: Kai Wu +@email: kwu@xidian.edu.cn + +Swarm Decomposition (SWD / SwD). + +A non-stationary signal decomposition method based on swarm intelligence. +Cornerstone is *swarm filtering* (SwF): the input is the trajectory of a +virtual “prey”, hunted by a swarm whose collective trajectory yields a +filtered output. SWD applies iterative SwF under different hunting +parameters (tied to the current dominant frequency), aligns / subtracts +each extracted oscillatory component, and stops when the residual no +longer contains a significant spectral peak. + +Apostolidis, G. K. and Hadjileontiadis, L. J. (2017). +Swarm decomposition: A novel signal analysis using swarm intelligence. +Signal Processing, 132, 40–50. +https://doi.org/10.1016/j.sigpro.2016.09.004 + +MATLAB reference (encrypted ``.p`` toolbox): +https://github.com/gkaposto/Swarm-Decomposition + +Implementation note +------------------- +The official ``SwD.p`` binary is closed-source. This module reconstructs +SWD from the published sifting architecture and the GA-fitted maps +``M(ω̂)``, ``δ(ω̂)`` (Eq. 9). Because those maps were calibrated to produce +*particular frequency responses*, SwF is realised here as an adaptive +band-pass around the target ``ω̂`` (bandwidth from ``δ``) followed by a +stabilised swarm–prey hunting pass that refines the time-domain waveform. +""" +from __future__ import annotations + +from typing import Dict, List, Optional, Tuple, Union + +import numpy as np +from scipy.signal import correlate, savgol_filter, welch + + +def swf_params_from_frequency(omega_hat: float) -> Tuple[int, float]: + """ + Map normalised frequency ``ω̂ = ω/π ∈ (0, 1]`` to SwF parameters + ``(M, δ)`` (Eq. 9 of the paper). + """ + omega_hat = float(np.clip(omega_hat, 0.05, 1.0)) + M = int(np.rint(33.46 * (omega_hat ** (-0.735)) - 29.1)) + M = int(np.clip(M, 2, 80)) + delta = -1.5 * omega_hat**2 + 3.454 * omega_hat - 0.01 + delta = float(np.clip(delta, 0.05, 1.5)) + return M, delta + + +def _bandwidth_from_delta(delta: float, omega_hat: float) -> float: + """Relative band-pass width derived from the flexibility ``δ``.""" + # Larger δ → more flexible swarm → wider spectral support + return float(np.clip(0.15 + 0.35 * delta, 0.12, 0.6)) * max(omega_hat, 0.05) + + +def bandpass_swf( + signal: np.ndarray, + omega_hat: float, + delta: float, +) -> np.ndarray: + """ + Frequency-domain realisation of a SwF response centred at ``ω̂``. + + A raised-Gaussian window on the positive frequency axis isolates the + oscillatory band that the GA-calibrated ``(M, δ)`` pair is designed to + recover (Fig. 2 of the paper). + """ + x = np.asarray(signal, dtype=float).ravel() + n = x.size + spec = np.fft.rfft(x) + freqs = np.fft.rfftfreq(n) * 2.0 # Nyquist == 1 + center = float(np.clip(omega_hat, 0.02, 0.98)) + width = _bandwidth_from_delta(delta, center) + window = np.exp(-0.5 * ((freqs - center) / width) ** 2) + window[0] = 0.0 + return np.fft.irfft(spec * window, n=n) + + +def _cohesion_force(positions: np.ndarray, d_cr: float) -> np.ndarray: + """Cohesion force (Eq. 2) — attract when far, repel when close.""" + m = positions.size + if m < 2: + return np.zeros_like(positions) + diff = positions[:, None] - positions[None, :] + abs_diff = np.maximum(np.abs(diff), 1e-12 * d_cr) + f_mat = -np.sign(diff) * np.log(abs_diff / d_cr) + np.fill_diagonal(f_mat, 0.0) + return np.sum(f_mat, axis=1) / float(m - 1) + + +def swarm_hunt( + signal: np.ndarray, + M: int, + delta: float, + d_cr: float, +) -> np.ndarray: + """ + Time-domain swarm–prey hunting (Eqs. 1–5) with a stabilised update. + + Used as a gentle refiner after the spectral SwF projection. + """ + x = np.asarray(signal, dtype=float).ravel() + L = x.size + M = int(max(2, M)) + d_cr = float(max(d_cr, 1e-12)) + step = float(np.clip(delta, 0.05, 0.35)) + beta = 1.0 / M + + offsets = d_cr * (np.arange(1, M + 1, dtype=float) - (M + 1) / 2.0) + positions = x[0] + offsets + velocities = np.zeros(M, dtype=float) + y = np.empty(L, dtype=float) + y[0] = beta * np.sum(positions) + + damp = 0.55 + for n in range(1, L): + f_dr = x[n] - positions + f_coh = _cohesion_force(positions, d_cr) + velocities = damp * velocities + step * (f_dr + f_coh) + positions = positions + step * velocities + y[n] = beta * np.sum(positions) + return y + + +def swarm_filter( + signal: np.ndarray, + omega_hat: float, + M: Optional[int] = None, + delta: Optional[float] = None, + refine: bool = True, +) -> np.ndarray: + """ + Full SwF: spectral projection at ``ω̂`` (+ optional hunting refinement). + """ + if M is None or delta is None: + M, delta = swf_params_from_frequency(omega_hat) + y = bandpass_swf(signal, omega_hat=omega_hat, delta=delta) + if refine and np.sum(y**2) > 1e-12: + d_cr = float(np.sqrt(np.mean(y**2)) + 1e-12) + y_h = swarm_hunt(y, M=M, delta=delta, d_cr=d_cr) + # Blend: keep spectral isolation, adopt hunting waveform shape + if np.sum(y_h**2) > 1e-12: + scale = np.sqrt(np.sum(y**2) / (np.sum(y_h**2) + 1e-12)) + y = 0.5 * y + 0.5 * scale * y_h + y = bandpass_swf(y, omega_hat=omega_hat, delta=delta) + return y + + +def iterative_swf( + signal: np.ndarray, + omega_hat: float, + std_th: float = 0.05, + max_sift: int = 20, + refine: bool = True, +) -> np.ndarray: + """Iterative SwF (Algorithm 1) until consecutive outputs agree.""" + M, delta = swf_params_from_frequency(omega_hat) + y_prev = np.asarray(signal, dtype=float).ravel() + y = swarm_filter(y_prev, omega_hat=omega_hat, M=M, delta=delta, refine=refine) + + for _ in range(1, max_sift): + denom = float(np.sum(y**2) + 1e-12) + std_val = float(np.sum((y - y_prev) ** 2) / denom) + if (not np.isfinite(std_val)) or std_val < std_th: + break + y_prev = y + y = swarm_filter(y_prev, omega_hat=omega_hat, M=M, delta=delta, refine=refine) + if not np.all(np.isfinite(y)): + return y_prev + return y + + +def _align_and_subtract( + residual: np.ndarray, component: np.ndarray +) -> Tuple[np.ndarray, np.ndarray]: + """Cross-correlation alignment + least-squares gain (Eq. 11).""" + L = residual.size + corr = correlate(residual, component, mode="full") + lag = int(np.argmax(np.abs(corr)) - (L - 1)) + if corr[lag + (L - 1)] < 0: + component = -component + corr = correlate(residual, component, mode="full") + lag = int(np.argmax(corr) - (L - 1)) + + aligned = np.roll(component, lag) + if lag > 0: + aligned[:lag] = 0.0 + elif lag < 0: + aligned[lag:] = 0.0 + + denom = float(np.dot(aligned, aligned) + 1e-12) + gain = float(np.dot(residual, aligned) / denom) + aligned = gain * aligned + return residual - aligned, aligned + + +class SWD(object): + """ + Swarm Decomposition (SWD). + + Parameters + ---------- + P_th : float + Relative spectral-peak threshold (``≈ 0.05–0.2``). Larger → coarser. + StD_th : float + Iterative-SwF convergence threshold (``≈ 0.01–0.1``). + spectrum : {'welch', 'sg', 'fft'} + Estimator used to pick the dominant residual frequency. + max_components : int + Upper bound on the number of returned oscillatory components. + max_sift : int + Max SwF repetitions inside one iterative-SwF call. + refine : bool + If True, apply the time-domain hunting refiner after each spectral SwF. + """ + + def __init__( + self, + P_th: float = 0.05, + StD_th: float = 0.05, + spectrum: str = "welch", + sg_order: int = 2, + sg_window: int = 15, + welch_window: Optional[int] = None, + welch_noverlap: Optional[int] = None, + welch_nfft: Optional[int] = None, + max_components: int = 15, + max_sift: int = 15, + min_omega_hat: float = 0.05, + freq_merge_tol: float = 0.03, + refine: bool = True, + ) -> None: + self.P_th = float(P_th) + self.StD_th = float(StD_th) + self.spectrum = str(spectrum).lower() + self.sg_order = int(sg_order) + self.sg_window = int(sg_window) + self.welch_window = welch_window + self.welch_noverlap = welch_noverlap + self.welch_nfft = welch_nfft + self.max_components = int(max_components) + self.max_sift = int(max_sift) + self.min_omega_hat = float(min_omega_hat) + self.freq_merge_tol = float(freq_merge_tol) + self.refine = bool(refine) + + if self.spectrum not in ("welch", "sg", "fft"): + raise ValueError("spectrum must be 'welch', 'sg' or 'fft'") + + self.signal: Optional[np.ndarray] = None + self.components: Optional[np.ndarray] = None + self.residue: Optional[np.ndarray] = None + self.omegas: Optional[np.ndarray] = None + + def __call__( + self, signal: np.ndarray, return_all: bool = False + ) -> Union[np.ndarray, Tuple[np.ndarray, np.ndarray, np.ndarray]]: + return self.fit_transform(signal=signal, return_all=return_all) + + def __str__(self) -> str: + return "Swarm Decomposition (SWD)" + + def _power_spectrum(self, x: np.ndarray) -> Tuple[np.ndarray, np.ndarray]: + x = np.asarray(x, dtype=float).ravel() + n = x.size + if self.spectrum == "welch": + nperseg = self.welch_window or max(16, n // 8) + nperseg = min(nperseg, n) + noverlap = ( + self.welch_noverlap + if self.welch_noverlap is not None + else nperseg // 2 + ) + nfft = self.welch_nfft or int(2 ** np.ceil(np.log2(max(n, nperseg)))) + return welch( + x, + fs=2.0, + nperseg=nperseg, + noverlap=min(noverlap, nperseg - 1), + nfft=nfft, + ) + + spec = np.abs(np.fft.rfft(x)) ** 2 + freqs = np.linspace(0.0, 1.0, spec.size) + if self.spectrum == "sg": + win = self.sg_window + if win % 2 == 0: + win += 1 + win = min(win, spec.size if spec.size % 2 == 1 else spec.size - 1) + order = min(self.sg_order, max(1, win - 1)) + if win >= 3: + spec = savgol_filter(spec, window_length=win, polyorder=order) + spec = np.maximum(spec, 0.0) + return freqs, spec + + def _dominant_frequency(self, x: np.ndarray) -> Optional[float]: + freqs, power = self._power_spectrum(x) + if power.size < 3: + return None + power = power.copy() + power[0] = 0.0 + peak = float(np.max(power)) + if peak <= 0.0: + return None + mask = power >= self.P_th * peak + if not np.any(mask): + return None + idx = int(np.argmax(np.where(mask, power, -np.inf))) + omega_hat = float(freqs[idx]) + if omega_hat < self.min_omega_hat: + return None + return omega_hat + + def fit_transform( + self, signal: np.ndarray, return_all: bool = False + ) -> Union[np.ndarray, Tuple[np.ndarray, np.ndarray, np.ndarray]]: + """ + Decompose ``signal``. + + Returns + ------- + components : np.ndarray + Shape ``(n_modes, N)``. + residue, omegas : optional + When ``return_all=True``. + """ + x0 = np.asarray(signal, dtype=float).ravel() + if x0.size < 8: + raise ValueError("signal length must be at least 8 samples") + self.signal = x0 + + residual = x0.copy() + buckets: Dict[float, np.ndarray] = {} + omega_order: List[float] = [] + e0 = float(np.sum(x0**2) + 1e-12) + + for _ in range(self.max_components * 4): + omega_hat = self._dominant_frequency(residual) + if omega_hat is None: + break + + extracted = iterative_swf( + residual, + omega_hat=omega_hat, + std_th=self.StD_th, + max_sift=self.max_sift, + refine=self.refine, + ) + if np.sum(extracted**2) < 1e-10 * e0: + break + + new_residual, aligned = _align_and_subtract(residual, extracted) + if np.sum(new_residual**2) >= 0.999 * np.sum(residual**2): + break + residual = new_residual + + key = None + for existing in omega_order: + if abs(existing - omega_hat) <= self.freq_merge_tol: + key = existing + break + if key is None: + key = omega_hat + omega_order.append(key) + buckets[key] = aligned.copy() + else: + buckets[key] = buckets[key] + aligned + + if len(omega_order) >= self.max_components: + break + if np.sum(residual**2) < (self.P_th**2) * e0: + break + + if not omega_order: + components = x0[None, :].copy() + omegas = np.array([0.0]) + residual = np.zeros_like(x0) + else: + components = np.vstack([buckets[w] for w in omega_order]) + omegas = np.asarray(omega_order, dtype=float) + + self.components = components + self.residue = residual + self.omegas = omegas + + if return_all: + return components, residual, omegas + return components + + +def swd( + signal: np.ndarray, + P_th: float = 0.05, + StD_th: float = 0.05, + return_all: bool = False, + **kwargs, +) -> Union[np.ndarray, Tuple[np.ndarray, np.ndarray, np.ndarray]]: + """Functional interface to :class:`SWD`.""" + return SWD(P_th=P_th, StD_th=StD_th, **kwargs).fit_transform( + signal=signal, return_all=return_all + ) + + +SwD = SWD +SwarmDecomposition = SWD