Expand description
Rust waveform generator, with no_std support.
Quickstart
use wavegen::{Waveform, sine, dc_bias, sawtooth};
// Define a Waveform with 200Hz sampling rate and three function components,
// choosing f32 as the ouput type:
let wf = Waveform::<f32>::with_components(
200.0,
vec![sine!(50, 10), sawtooth!(20), dc_bias!(-5)]
);
// Use Waveform as an infinite iterator:
let two_seconds_of_samples: Vec<f32> = wf.iter().take(400).collect();
Look into macros section for a complete list of defined periodic functions and their constructors.
Periodic function macros
The macros for building predefined PeriodicFunctions generally have a form of:
function!(frequency, [amplitude, [phase]])
(Square braces “[]” indicate optional argument).
They come in an annotated and non-annotated form, so for example a Sine function can be expressed in both ways:
use wavegen::sine;
let sine_f = sine!(100, 20, 0.25);
use wavegen::sine;
let sine_f = sine!(frequency: 100, amplitude: 20, phase: 0.25);
Refer to Macros section for more info.
Custom periodic functions
Supported, of course. Just define your custom function as Box<Fn(f64) -> f64>
and use it with Waveform.
use wavegen::Waveform;
let wf = Waveform::<f64>::with_components(100.0, vec![Box::new(|x| x % 2 as f64)]);
Overflows
As Waveform can be composed of multiple components, it is possible for it to overflow during samples collection. If overflow occurs, the sample’s value will be clamped to the largest possible representation of sample’s type.
That means +/- Inf
for floating point types, and MAX/MIN
for integers.
use wavegen::{Waveform, dc_bias};
let wf = Waveform::<f64>::with_components(100.0, vec![dc_bias![f64::MAX], dc_bias![f64::MAX]]);
let sample = wf.iter().take(1).collect::<Vec<_>>()[0];
assert_eq!(sample, f64::INFINITY);
use wavegen::{Waveform, dc_bias};
let wf = Waveform::<i32>::with_components(100.0, vec![dc_bias![f64::MAX], dc_bias![f64::MAX]]);
let sample = wf.iter().take(1).collect::<Vec<_>>()[0];
assert_eq!(sample, i32::MAX);
Iterator panics
The WaveformIterator::next()
method can panic in some rare cases if it is not able to convert the inner sample type f64
into the target sample type.
use wavegen::{Waveform, dc_bias};
let wf = Waveform::<i32>::with_components(100.0, vec![dc_bias![f64::NAN]]);
// 'f64::NAN` can't be converted into `i32`, code below will panic
let sample = wf.iter().take(1).collect::<Vec<_>>()[0];
use wavegen::{Waveform, dc_bias};
let wf = Waveform::<f32>::with_components(100.0, vec![dc_bias![f64::NAN]]);
// This however is fine, as `f64::NAN` can be represented as `f32::NAN`
let sample = wf.iter().take(1).collect::<Vec<_>>()[0];
It is probably a good practice to sanitize the parameters of the periodic function before it is constructed.
Note about Nyquist-Shannon rule enforcement
As a rule of thumb in signal processing, the sampling frequency should be at least 2 times bigger than the highest frequency of sampled continous signal.
This lib will not enforce the Nyquist-Shannon rule on the waveforms you create, therefore abominations like this are possible (altough not recommended):
use wavegen::{Waveform, sine};
// 100 Hz sampling of 80 Hz sine... will not yield realistic results.
let wf = Waveform::<f32>::with_components(100.0, vec![sine!(80)]);
As it is often a case, it is you, the programmer, who’s left in charge of making sure the input data makes sense.
Macros
Builder macro for DC Bias PeriodicFunction.
Builder macro for Sine PeriodicFunction.
Builder macro for Sine PeriodicFunction.
Builder macro for Square PeriodicFunction.
Structs
Struct representing a waveform, consisting of output numeric type, sampling rate and a vector of PeriodicFunctions.
Traits
Helper trait defining all the types that can be used as Waveform’s sample type.
Type Definitions
Type alias defining a periodic function (f64 -> f64 map)