Learn R Programming

⚠️There's a newer version (1.8-0) of this package.Take me there.

signal (version 0.5)

Signal processing

Description

A set of generally Matlab/Octave-compatible signal processing functions. Includes filter generation utilities, filtering functions, resampling routines, and visualization of filter models. It also includes interpolation functions and some Matlab compatability functions.

Copy Link

Version

Install

install.packages('signal')

Monthly Downloads

15,279

Version

0.5

License

GNU GPL v2.0 or greater

Maintainer

help Ported to R by Tom Short

Last Published

June 26th, 2024

Functions in signal (0.5)

Filters with an FIR filter using the FFT

Decimate or downsample a signal

Filter of given order and specifications.

Dolph-Chebyshev window coefficients

Create an autoregressive moving average (ARMA) model.

Savitzsky-Golay smoothing filters

FIR filter generation

Generate a Chebyshev filter.

Complex unit phasor of the given angle in degrees.

Zero-pole-gain model

Parameters for an FIR filter from a Kaiser window

Impulse-response characteristics

Elliptic or Cauer filter

signal-internal

Internal or uncommented functions

Parks-McClellan optimal FIR filter design

Interpolate / Increase the sample rate

FIR filter generation

Butterworth filter order and cutoff

Elliptic filter order and cutoff

Chebyshev type-I filter order and cutoff

Windowing functions

Windowing functions

Polynomial given roots

Group delay of a filter or model

Transform filter band edges

Unwrap radian phases

Generate a Butterworth filter.

Evaluate a polynomial

Create a moving average (MA) model

s-plane frequency response

Signal processing

Bilinear transformation

Forward and reverse filter a signal

Spectogram plot

Change the sampling rate of a signal

Roots of a polynomial

Piecewise cubic hermite interpolation

Filter a signal.

s-plane frequency response

Apply a Savitsky-Golay smoothing filter