ix-signal

name	ix-signal
description	Signal processing — FFT, filtering, wavelets, Kalman, spectral analysis
disable-model-invocation	true

Signal Processing

Analyze and transform time-domain and frequency-domain signals.

When to Use

When the user has time series, audio, sensor data, or any signal that needs frequency analysis, filtering, or noise reduction.

Capabilities

• FFT/IFFT — Frequency decomposition, power spectrum
• Filtering — Low-pass, high-pass, band-pass FIR/IIR filters
• Wavelets — Haar wavelet transform, multi-resolution analysis
• Kalman Filter — State estimation for noisy dynamic systems
• Spectral Analysis — Power spectral density, spectrogram
• Windows — Hamming, Hanning, Blackman for spectral leakage reduction
• Convolution/Correlation — Cross-correlation, autocorrelation
• DCT — Discrete cosine transform (compression, feature extraction)

Programmatic Usage

use ix_signal::fft::{fft, ifft, power_spectrum};
use ix_signal::filter::{low_pass, high_pass};
use ix_signal::kalman::KalmanFilter;
use ix_signal::wavelet::haar_wavelet_transform;
use ix_signal::spectral::spectrogram;
use ix_signal::window::{hamming, hanning};

Tips

• Apply a window function before FFT to reduce spectral leakage
• Kalman filter requires a state model — help user define F, H, Q, R matrices
• Use power spectrum to identify dominant frequencies