| | |
- exceptions.Exception(exceptions.BaseException)
-
- UnimplementedMethodException
- IntegratedSpectrum
- Signal
-
- Chirp
-
- ExpoChirp
- Impulses
- SilentSignal
- Sinusoid
-
- ComplexSinusoid
- GlottalSignal
- ParabolicSignal
-
- CubicSignal
- SawtoothSignal
- SquareSignal
- TriangleSignal
- SumSignal
- Spectrogram
- WavFileWriter
- Wave
- _Noise(Signal)
-
- BrownianNoise
- PinkNoise
- UncorrelatedGaussianNoise
- UncorrelatedUniformNoise
- _SpectrumParent
-
- Dct
- Spectrum
class BrownianNoise(_Noise) |
| |
Represents Brownian noise, aka red noise.
|
| |
- Method resolution order:
- BrownianNoise
- _Noise
- Signal
Methods defined here:
- evaluate(self, ts)
- Evaluates the signal at the given times.
Computes Brownian noise by taking the cumulative sum of
a uniform random series.
ts: float array of times
returns: float wave array
Methods inherited from _Noise:
- __init__(self, amp=1.0)
- Initializes a white noise signal.
amp: float amplitude, 1.0 is nominal max
Data descriptors inherited from _Noise:
- period
- Period of the signal in seconds.
returns: float seconds
Methods inherited from Signal:
- __add__(self, other)
- Adds two signals.
other: Signal
returns: Signal
- __radd__ = __add__(self, other)
- Adds two signals.
other: Signal
returns: Signal
- make_wave(self, duration=1, start=0, framerate=11025)
- Makes a Wave object.
duration: float seconds
start: float seconds
framerate: int frames per second
returns: Wave
- plot(self, framerate=11025)
- Plots the signal.
The default behavior is to plot three periods.
framerate: samples per second
|
class Chirp(Signal) |
| |
Represents a signal with variable frequency.
|
| |
Methods defined here:
- __init__(self, start=440, end=880, amp=1.0)
- Initializes a linear chirp.
start: float frequency in Hz
end: float frequency in Hz
amp: float amplitude, 1.0 is nominal max
- evaluate(self, ts)
- Evaluates the signal at the given times.
ts: float array of times
returns: float wave array
Data descriptors defined here:
- period
- Period of the signal in seconds.
returns: float seconds
Methods inherited from Signal:
- __add__(self, other)
- Adds two signals.
other: Signal
returns: Signal
- __radd__ = __add__(self, other)
- Adds two signals.
other: Signal
returns: Signal
- make_wave(self, duration=1, start=0, framerate=11025)
- Makes a Wave object.
duration: float seconds
start: float seconds
framerate: int frames per second
returns: Wave
- plot(self, framerate=11025)
- Plots the signal.
The default behavior is to plot three periods.
framerate: samples per second
|
class ComplexSinusoid(Sinusoid) |
| |
Represents a complex exponential signal.
|
| |
- Method resolution order:
- ComplexSinusoid
- Sinusoid
- Signal
Methods defined here:
- evaluate(self, ts)
- Evaluates the signal at the given times.
ts: float array of times
returns: float wave array
Methods inherited from Sinusoid:
- __init__(self, freq=440, amp=1.0, offset=0, func=<ufunc 'sin'>)
- Initializes a sinusoidal signal.
freq: float frequency in Hz
amp: float amplitude, 1.0 is nominal max
offset: float phase offset in radians
func: function that maps phase to amplitude
Data descriptors inherited from Sinusoid:
- period
- Period of the signal in seconds.
returns: float seconds
Methods inherited from Signal:
- __add__(self, other)
- Adds two signals.
other: Signal
returns: Signal
- __radd__ = __add__(self, other)
- Adds two signals.
other: Signal
returns: Signal
- make_wave(self, duration=1, start=0, framerate=11025)
- Makes a Wave object.
duration: float seconds
start: float seconds
framerate: int frames per second
returns: Wave
- plot(self, framerate=11025)
- Plots the signal.
The default behavior is to plot three periods.
framerate: samples per second
|
class CubicSignal(ParabolicSignal) |
| |
Represents a cubic signal.
|
| |
- Method resolution order:
- CubicSignal
- ParabolicSignal
- Sinusoid
- Signal
Methods defined here:
- evaluate(self, ts)
- Evaluates the signal at the given times.
ts: float array of times
returns: float wave array
Methods inherited from Sinusoid:
- __init__(self, freq=440, amp=1.0, offset=0, func=<ufunc 'sin'>)
- Initializes a sinusoidal signal.
freq: float frequency in Hz
amp: float amplitude, 1.0 is nominal max
offset: float phase offset in radians
func: function that maps phase to amplitude
Data descriptors inherited from Sinusoid:
- period
- Period of the signal in seconds.
returns: float seconds
Methods inherited from Signal:
- __add__(self, other)
- Adds two signals.
other: Signal
returns: Signal
- __radd__ = __add__(self, other)
- Adds two signals.
other: Signal
returns: Signal
- make_wave(self, duration=1, start=0, framerate=11025)
- Makes a Wave object.
duration: float seconds
start: float seconds
framerate: int frames per second
returns: Wave
- plot(self, framerate=11025)
- Plots the signal.
The default behavior is to plot three periods.
framerate: samples per second
|
class Dct(_SpectrumParent) |
| |
Represents the spectrum of a signal using discrete cosine transform.
|
| |
Methods defined here:
- __add__(self, other)
- Adds two DCTs elementwise.
other: DCT
returns: new DCT
- __radd__ = __add__(self, other)
- make_wave(self)
- Transforms to the time domain.
returns: Wave
Data descriptors defined here:
- amps
- Returns a sequence of amplitudes (read-only property).
Note: for DCTs, amps are positive or negative real.
Methods inherited from _SpectrumParent:
- __init__(self, hs, fs, framerate, full=False)
- Initializes a spectrum.
hs: array of amplitudes (real or complex)
fs: array of frequencies
framerate: frames per second
full: boolean to indicate full or real FFT
- copy(self)
- Makes a copy.
Returns: new Spectrum
- estimate_slope(self)
- Runs linear regression on log power vs log frequency.
returns: slope, inter, r2, p, stderr
- invert(self)
- Inverts this spectrum/filter.
returns: new Wave
- max_diff(self, other)
- Computes the maximum absolute difference between spectra.
other: Spectrum
returns: float
- peaks(self)
- Finds the highest peaks and their frequencies.
returns: sorted list of (amplitude, frequency) pairs
- plot(self, high=None, **options)
- Plots amplitude vs frequency.
Note: if this is a full spectrum, it ignores low and high
high: frequency to cut off at
- plot_power(self, high=None, **options)
- Plots power vs frequency.
high: frequency to cut off at
- ratio(self, denom, thresh=1, val=0)
- The ratio of two spectrums.
denom: Spectrum
thresh: values smaller than this are replaced
val: with this value
returns: new Wave
- render_full(self, high=None)
- Extracts amps and fs from a full spectrum.
high: cutoff frequency
returns: fs, amps
Data descriptors inherited from _SpectrumParent:
- freq_res
- max_freq
- Returns the Nyquist frequency for this spectrum.
- power
- Returns a sequence of powers (read-only property).
|
class ExpoChirp(Chirp) |
| |
Represents a signal with varying frequency.
|
| |
- Method resolution order:
- ExpoChirp
- Chirp
- Signal
Methods defined here:
- evaluate(self, ts)
- Evaluates the signal at the given times.
ts: float array of times
returns: float wave array
Methods inherited from Chirp:
- __init__(self, start=440, end=880, amp=1.0)
- Initializes a linear chirp.
start: float frequency in Hz
end: float frequency in Hz
amp: float amplitude, 1.0 is nominal max
Data descriptors inherited from Chirp:
- period
- Period of the signal in seconds.
returns: float seconds
Methods inherited from Signal:
- __add__(self, other)
- Adds two signals.
other: Signal
returns: Signal
- __radd__ = __add__(self, other)
- Adds two signals.
other: Signal
returns: Signal
- make_wave(self, duration=1, start=0, framerate=11025)
- Makes a Wave object.
duration: float seconds
start: float seconds
framerate: int frames per second
returns: Wave
- plot(self, framerate=11025)
- Plots the signal.
The default behavior is to plot three periods.
framerate: samples per second
|
class GlottalSignal(Sinusoid) |
| |
Represents a periodic signal that resembles a glottal signal.
|
| |
- Method resolution order:
- GlottalSignal
- Sinusoid
- Signal
Methods defined here:
- evaluate(self, ts)
- Evaluates the signal at the given times.
ts: float array of times
returns: float wave array
Methods inherited from Sinusoid:
- __init__(self, freq=440, amp=1.0, offset=0, func=<ufunc 'sin'>)
- Initializes a sinusoidal signal.
freq: float frequency in Hz
amp: float amplitude, 1.0 is nominal max
offset: float phase offset in radians
func: function that maps phase to amplitude
Data descriptors inherited from Sinusoid:
- period
- Period of the signal in seconds.
returns: float seconds
Methods inherited from Signal:
- __add__(self, other)
- Adds two signals.
other: Signal
returns: Signal
- __radd__ = __add__(self, other)
- Adds two signals.
other: Signal
returns: Signal
- make_wave(self, duration=1, start=0, framerate=11025)
- Makes a Wave object.
duration: float seconds
start: float seconds
framerate: int frames per second
returns: Wave
- plot(self, framerate=11025)
- Plots the signal.
The default behavior is to plot three periods.
framerate: samples per second
|
class Impulses(Signal) |
| |
Represents silence.
|
| |
Methods defined here:
- __init__(self, locations, amps=1)
- evaluate(self, ts)
- Evaluates the signal at the given times.
ts: float array of times
returns: float wave array
Methods inherited from Signal:
- __add__(self, other)
- Adds two signals.
other: Signal
returns: Signal
- __radd__ = __add__(self, other)
- Adds two signals.
other: Signal
returns: Signal
- make_wave(self, duration=1, start=0, framerate=11025)
- Makes a Wave object.
duration: float seconds
start: float seconds
framerate: int frames per second
returns: Wave
- plot(self, framerate=11025)
- Plots the signal.
The default behavior is to plot three periods.
framerate: samples per second
Data descriptors inherited from Signal:
- period
- Period of the signal in seconds (property).
Since this is used primarily for purposes of plotting,
the default behavior is to return a value, 0.1 seconds,
that is reasonable for many signals.
returns: float seconds
|
class IntegratedSpectrum |
| |
Represents the integral of a spectrum.
|
| |
Methods defined here:
- __init__(self, cs, fs)
- Initializes an integrated spectrum:
cs: sequence of cumulative amplitudes
fs: sequence of frequencies
- estimate_slope(self, low=1, high=-12000)
- Runs linear regression on log cumulative power vs log frequency.
returns: slope, inter, r2, p, stderr
- plot_power(self, low=0, high=None, expo=False, **options)
- Plots the integrated spectrum.
low: int index to start at
high: int index to end at
|
class ParabolicSignal(Sinusoid) |
| |
Represents a parabolic signal.
|
| |
- Method resolution order:
- ParabolicSignal
- Sinusoid
- Signal
Methods defined here:
- evaluate(self, ts)
- Evaluates the signal at the given times.
ts: float array of times
returns: float wave array
Methods inherited from Sinusoid:
- __init__(self, freq=440, amp=1.0, offset=0, func=<ufunc 'sin'>)
- Initializes a sinusoidal signal.
freq: float frequency in Hz
amp: float amplitude, 1.0 is nominal max
offset: float phase offset in radians
func: function that maps phase to amplitude
Data descriptors inherited from Sinusoid:
- period
- Period of the signal in seconds.
returns: float seconds
Methods inherited from Signal:
- __add__(self, other)
- Adds two signals.
other: Signal
returns: Signal
- __radd__ = __add__(self, other)
- Adds two signals.
other: Signal
returns: Signal
- make_wave(self, duration=1, start=0, framerate=11025)
- Makes a Wave object.
duration: float seconds
start: float seconds
framerate: int frames per second
returns: Wave
- plot(self, framerate=11025)
- Plots the signal.
The default behavior is to plot three periods.
framerate: samples per second
|
class PinkNoise(_Noise) |
| |
Represents Brownian noise, aka red noise.
|
| |
- Method resolution order:
- PinkNoise
- _Noise
- Signal
Methods defined here:
- __init__(self, amp=1.0, beta=1.0)
- Initializes a pink noise signal.
amp: float amplitude, 1.0 is nominal max
- make_wave(self, duration=1, start=0, framerate=11025)
- Makes a Wave object.
duration: float seconds
start: float seconds
framerate: int frames per second
returns: Wave
Data descriptors inherited from _Noise:
- period
- Period of the signal in seconds.
returns: float seconds
Methods inherited from Signal:
- __add__(self, other)
- Adds two signals.
other: Signal
returns: Signal
- __radd__ = __add__(self, other)
- Adds two signals.
other: Signal
returns: Signal
- plot(self, framerate=11025)
- Plots the signal.
The default behavior is to plot three periods.
framerate: samples per second
|
class SawtoothSignal(Sinusoid) |
| |
Represents a sawtooth signal.
|
| |
- Method resolution order:
- SawtoothSignal
- Sinusoid
- Signal
Methods defined here:
- evaluate(self, ts)
- Evaluates the signal at the given times.
ts: float array of times
returns: float wave array
Methods inherited from Sinusoid:
- __init__(self, freq=440, amp=1.0, offset=0, func=<ufunc 'sin'>)
- Initializes a sinusoidal signal.
freq: float frequency in Hz
amp: float amplitude, 1.0 is nominal max
offset: float phase offset in radians
func: function that maps phase to amplitude
Data descriptors inherited from Sinusoid:
- period
- Period of the signal in seconds.
returns: float seconds
Methods inherited from Signal:
- __add__(self, other)
- Adds two signals.
other: Signal
returns: Signal
- __radd__ = __add__(self, other)
- Adds two signals.
other: Signal
returns: Signal
- make_wave(self, duration=1, start=0, framerate=11025)
- Makes a Wave object.
duration: float seconds
start: float seconds
framerate: int frames per second
returns: Wave
- plot(self, framerate=11025)
- Plots the signal.
The default behavior is to plot three periods.
framerate: samples per second
|
class Signal |
| |
Represents a time-varying signal.
|
| |
Methods defined here:
- __add__(self, other)
- Adds two signals.
other: Signal
returns: Signal
- __radd__ = __add__(self, other)
- make_wave(self, duration=1, start=0, framerate=11025)
- Makes a Wave object.
duration: float seconds
start: float seconds
framerate: int frames per second
returns: Wave
- plot(self, framerate=11025)
- Plots the signal.
The default behavior is to plot three periods.
framerate: samples per second
Data descriptors defined here:
- period
- Period of the signal in seconds (property).
Since this is used primarily for purposes of plotting,
the default behavior is to return a value, 0.1 seconds,
that is reasonable for many signals.
returns: float seconds
|
class SilentSignal(Signal) |
| |
Represents silence.
|
| |
Methods defined here:
- evaluate(self, ts)
- Evaluates the signal at the given times.
ts: float array of times
returns: float wave array
Methods inherited from Signal:
- __add__(self, other)
- Adds two signals.
other: Signal
returns: Signal
- __radd__ = __add__(self, other)
- Adds two signals.
other: Signal
returns: Signal
- make_wave(self, duration=1, start=0, framerate=11025)
- Makes a Wave object.
duration: float seconds
start: float seconds
framerate: int frames per second
returns: Wave
- plot(self, framerate=11025)
- Plots the signal.
The default behavior is to plot three periods.
framerate: samples per second
Data descriptors inherited from Signal:
- period
- Period of the signal in seconds (property).
Since this is used primarily for purposes of plotting,
the default behavior is to return a value, 0.1 seconds,
that is reasonable for many signals.
returns: float seconds
|
class Sinusoid(Signal) |
| |
Represents a sinusoidal signal.
|
| |
Methods defined here:
- __init__(self, freq=440, amp=1.0, offset=0, func=<ufunc 'sin'>)
- Initializes a sinusoidal signal.
freq: float frequency in Hz
amp: float amplitude, 1.0 is nominal max
offset: float phase offset in radians
func: function that maps phase to amplitude
- evaluate(self, ts)
- Evaluates the signal at the given times.
ts: float array of times
returns: float wave array
Data descriptors defined here:
- period
- Period of the signal in seconds.
returns: float seconds
Methods inherited from Signal:
- __add__(self, other)
- Adds two signals.
other: Signal
returns: Signal
- __radd__ = __add__(self, other)
- Adds two signals.
other: Signal
returns: Signal
- make_wave(self, duration=1, start=0, framerate=11025)
- Makes a Wave object.
duration: float seconds
start: float seconds
framerate: int frames per second
returns: Wave
- plot(self, framerate=11025)
- Plots the signal.
The default behavior is to plot three periods.
framerate: samples per second
|
class Spectrogram |
| |
Represents the spectrum of a signal.
|
| |
Methods defined here:
- __init__(self, spec_map, seg_length)
- Initialize the spectrogram.
spec_map: map from float time to Spectrum
seg_length: number of samples in each segment
- any_spectrum(self)
- Returns an arbitrary spectrum from the spectrogram.
- frequencies(self)
- Sequence of frequencies.
returns: sequence of float freqencies in Hz.
- make_wave(self)
- Inverts the spectrogram and returns a Wave.
returns: Wave
- plot(self, high=None, **options)
- Make a pseudocolor plot.
high: highest frequency component to plot
- times(self)
- Sorted sequence of times.
returns: sequence of float times in seconds
Data descriptors defined here:
- freq_res
- Frequency resolution in Hz.
- time_res
- Time resolution in seconds.
|
class Spectrum(_SpectrumParent) |
| |
Represents the spectrum of a signal.
|
| |
Methods defined here:
- __add__(self, other)
- Adds two spectrums elementwise.
other: Spectrum
returns: new Spectrum
- __len__(self)
- Length of the spectrum.
- __mul__(self, other)
- Multiplies two spectrums elementwise.
other: Spectrum
returns: new Spectrum
- __radd__ = __add__(self, other)
- band_stop(self, low_cutoff, high_cutoff, factor=0)
- Attenuate frequencies between the cutoffs.
low_cutoff: frequency in Hz
high_cutoff: frequency in Hz
factor: what to multiply the magnitude by
- convolve(self, other)
- Convolves two Spectrums.
other: Spectrum
returns: Spectrum
- differentiate(self)
- Apply the differentiation filter.
returns: new Spectrum
- high_pass(self, cutoff, factor=0)
- Attenuate frequencies below the cutoff.
cutoff: frequency in Hz
factor: what to multiply the magnitude by
- integrate(self)
- Apply the integration filter.
returns: new Spectrum
- low_pass(self, cutoff, factor=0)
- Attenuate frequencies above the cutoff.
cutoff: frequency in Hz
factor: what to multiply the magnitude by
- make_integrated_spectrum(self)
- Makes an integrated spectrum.
- make_wave(self)
- Transforms to the time domain.
returns: Wave
- pink_filter(self, beta=1)
- Apply a filter that would make white noise pink.
beta: exponent of the pink noise
- scale(self, factor)
- Multiplies all elements by the given factor.
factor: what to multiply the magnitude by (could be complex)
Data descriptors defined here:
- angles
- Returns a sequence of angles (read-only property).
- imag
- Returns the imaginary part of the hs (read-only property).
- real
- Returns the real part of the hs (read-only property).
Methods inherited from _SpectrumParent:
- __init__(self, hs, fs, framerate, full=False)
- Initializes a spectrum.
hs: array of amplitudes (real or complex)
fs: array of frequencies
framerate: frames per second
full: boolean to indicate full or real FFT
- copy(self)
- Makes a copy.
Returns: new Spectrum
- estimate_slope(self)
- Runs linear regression on log power vs log frequency.
returns: slope, inter, r2, p, stderr
- invert(self)
- Inverts this spectrum/filter.
returns: new Wave
- max_diff(self, other)
- Computes the maximum absolute difference between spectra.
other: Spectrum
returns: float
- peaks(self)
- Finds the highest peaks and their frequencies.
returns: sorted list of (amplitude, frequency) pairs
- plot(self, high=None, **options)
- Plots amplitude vs frequency.
Note: if this is a full spectrum, it ignores low and high
high: frequency to cut off at
- plot_power(self, high=None, **options)
- Plots power vs frequency.
high: frequency to cut off at
- ratio(self, denom, thresh=1, val=0)
- The ratio of two spectrums.
denom: Spectrum
thresh: values smaller than this are replaced
val: with this value
returns: new Wave
- render_full(self, high=None)
- Extracts amps and fs from a full spectrum.
high: cutoff frequency
returns: fs, amps
Data descriptors inherited from _SpectrumParent:
- amps
- Returns a sequence of amplitudes (read-only property).
- freq_res
- max_freq
- Returns the Nyquist frequency for this spectrum.
- power
- Returns a sequence of powers (read-only property).
|
class SquareSignal(Sinusoid) |
| |
Represents a square signal.
|
| |
- Method resolution order:
- SquareSignal
- Sinusoid
- Signal
Methods defined here:
- evaluate(self, ts)
- Evaluates the signal at the given times.
ts: float array of times
returns: float wave array
Methods inherited from Sinusoid:
- __init__(self, freq=440, amp=1.0, offset=0, func=<ufunc 'sin'>)
- Initializes a sinusoidal signal.
freq: float frequency in Hz
amp: float amplitude, 1.0 is nominal max
offset: float phase offset in radians
func: function that maps phase to amplitude
Data descriptors inherited from Sinusoid:
- period
- Period of the signal in seconds.
returns: float seconds
Methods inherited from Signal:
- __add__(self, other)
- Adds two signals.
other: Signal
returns: Signal
- __radd__ = __add__(self, other)
- Adds two signals.
other: Signal
returns: Signal
- make_wave(self, duration=1, start=0, framerate=11025)
- Makes a Wave object.
duration: float seconds
start: float seconds
framerate: int frames per second
returns: Wave
- plot(self, framerate=11025)
- Plots the signal.
The default behavior is to plot three periods.
framerate: samples per second
|
class SumSignal(Signal) |
| |
Represents the sum of signals.
|
| |
Methods defined here:
- __init__(self, *args)
- Initializes the sum.
args: tuple of signals
- evaluate(self, ts)
- Evaluates the signal at the given times.
ts: float array of times
returns: float wave array
Data descriptors defined here:
- period
- Period of the signal in seconds.
Note: this is not correct; it's mostly a placekeeper.
But it is correct for a harmonic sequence where all
component frequencies are multiples of the fundamental.
returns: float seconds
Methods inherited from Signal:
- __add__(self, other)
- Adds two signals.
other: Signal
returns: Signal
- __radd__ = __add__(self, other)
- Adds two signals.
other: Signal
returns: Signal
- make_wave(self, duration=1, start=0, framerate=11025)
- Makes a Wave object.
duration: float seconds
start: float seconds
framerate: int frames per second
returns: Wave
- plot(self, framerate=11025)
- Plots the signal.
The default behavior is to plot three periods.
framerate: samples per second
|
class TriangleSignal(Sinusoid) |
| |
Represents a triangle signal.
|
| |
- Method resolution order:
- TriangleSignal
- Sinusoid
- Signal
Methods defined here:
- evaluate(self, ts)
- Evaluates the signal at the given times.
ts: float array of times
returns: float wave array
Methods inherited from Sinusoid:
- __init__(self, freq=440, amp=1.0, offset=0, func=<ufunc 'sin'>)
- Initializes a sinusoidal signal.
freq: float frequency in Hz
amp: float amplitude, 1.0 is nominal max
offset: float phase offset in radians
func: function that maps phase to amplitude
Data descriptors inherited from Sinusoid:
- period
- Period of the signal in seconds.
returns: float seconds
Methods inherited from Signal:
- __add__(self, other)
- Adds two signals.
other: Signal
returns: Signal
- __radd__ = __add__(self, other)
- Adds two signals.
other: Signal
returns: Signal
- make_wave(self, duration=1, start=0, framerate=11025)
- Makes a Wave object.
duration: float seconds
start: float seconds
framerate: int frames per second
returns: Wave
- plot(self, framerate=11025)
- Plots the signal.
The default behavior is to plot three periods.
framerate: samples per second
|
class UncorrelatedGaussianNoise(_Noise) |
| |
Represents uncorrelated gaussian noise.
|
| |
- Method resolution order:
- UncorrelatedGaussianNoise
- _Noise
- Signal
Methods defined here:
- evaluate(self, ts)
- Evaluates the signal at the given times.
ts: float array of times
returns: float wave array
Methods inherited from _Noise:
- __init__(self, amp=1.0)
- Initializes a white noise signal.
amp: float amplitude, 1.0 is nominal max
Data descriptors inherited from _Noise:
- period
- Period of the signal in seconds.
returns: float seconds
Methods inherited from Signal:
- __add__(self, other)
- Adds two signals.
other: Signal
returns: Signal
- __radd__ = __add__(self, other)
- Adds two signals.
other: Signal
returns: Signal
- make_wave(self, duration=1, start=0, framerate=11025)
- Makes a Wave object.
duration: float seconds
start: float seconds
framerate: int frames per second
returns: Wave
- plot(self, framerate=11025)
- Plots the signal.
The default behavior is to plot three periods.
framerate: samples per second
|
class UncorrelatedUniformNoise(_Noise) |
| |
Represents uncorrelated uniform noise.
|
| |
- Method resolution order:
- UncorrelatedUniformNoise
- _Noise
- Signal
Methods defined here:
- evaluate(self, ts)
- Evaluates the signal at the given times.
ts: float array of times
returns: float wave array
Methods inherited from _Noise:
- __init__(self, amp=1.0)
- Initializes a white noise signal.
amp: float amplitude, 1.0 is nominal max
Data descriptors inherited from _Noise:
- period
- Period of the signal in seconds.
returns: float seconds
Methods inherited from Signal:
- __add__(self, other)
- Adds two signals.
other: Signal
returns: Signal
- __radd__ = __add__(self, other)
- Adds two signals.
other: Signal
returns: Signal
- make_wave(self, duration=1, start=0, framerate=11025)
- Makes a Wave object.
duration: float seconds
start: float seconds
framerate: int frames per second
returns: Wave
- plot(self, framerate=11025)
- Plots the signal.
The default behavior is to plot three periods.
framerate: samples per second
|
class WavFileWriter |
| |
Writes wav files.
|
| |
Methods defined here:
- __init__(self, filename='sound.wav', framerate=11025)
- Opens the file and sets parameters.
filename: string
framerate: samples per second
- close(self, duration=0)
- Closes the file.
duration: how many seconds of silence to append
- write(self, wave)
- Writes a wave.
wave: Wave
|
class Wave |
| |
Represents a discrete-time waveform.
|
| |
Methods defined here:
- __add__(self, other)
- Adds two waves elementwise.
other: Wave
returns: new Wave
- __init__(self, ys, ts=None, framerate=None)
- Initializes the wave.
ys: wave array
ts: array of times
framerate: samples per second
- __len__(self)
- __mul__(self, other)
- Multiplies two waves elementwise.
Note: this operation ignores the timestamps; the result
has the timestamps of self.
other: Wave
returns: new Wave
- __or__(self, other)
- Concatenates two waves.
other: Wave
returns: new Wave
- __radd__ = __add__(self, other)
- apodize(self, denom=20, duration=0.1)
- Tapers the amplitude at the beginning and end of the signal.
Tapers either the given duration of time or the given
fraction of the total duration, whichever is less.
denom: float fraction of the segment to taper
duration: float duration of the taper in seconds
- convolve(self, other)
- Convolves two waves.
Note: this operation ignores the timestamps; the result
has the timestamps of self.
other: Wave or NumPy array
returns: Wave
- copy(self)
- Makes a copy.
Returns: new Wave
- corr(self, other)
- Correlation coefficient two waves.
other: Wave
returns: float coefficient of correlation
- cos_cov(self, k)
- Covariance with a cosine signal.
freq: freq of the cosine signal in Hz
returns: float covariance
- cos_transform(self)
- Discrete cosine transform.
returns: list of frequency, cov pairs
- cov(self, other)
- Covariance of two unbiased waves.
other: Wave
returns: float
- cov_mat(self, other)
- Covariance matrix of two waves.
other: Wave
returns: 2x2 covariance matrix
- cumsum(self)
- Computes the cumulative sum of the elements.
returns: new Wave
- diff(self)
- Computes the difference between successive elements.
returns: new Wave
- find_index(self, t)
- Find the index corresponding to a given time.
- get_xfactor(self, options)
- hamming(self)
- Apply a Hamming window to the wave.
- make_audio(self)
- Makes an IPython Audio object.
- make_dct(self)
- Computes the DCT of this wave.
- make_spectrogram(self, seg_length, win_flag=True)
- Computes the spectrogram of the wave.
seg_length: number of samples in each segment
win_flag: boolean, whether to apply hamming window to each segment
returns: Spectrogram
- make_spectrum(self, full=False)
- Computes the spectrum using FFT.
returns: Spectrum
- max_diff(self, other)
- Computes the maximum absolute difference between waves.
other: Wave
returns: float
- normalize(self, amp=1.0)
- Normalizes the signal to the given amplitude.
amp: float amplitude
- play(self, filename='sound.wav')
- Plays a wave file.
filename: string
- plot(self, **options)
- Plots the wave.
- plot_vlines(self, **options)
- Plots the wave with vertical lines for samples.
- quantize(self, bound, dtype)
- Maps the waveform to quanta.
bound: maximum amplitude
dtype: numpy data type or string
returns: quantized signal
- roll(self, roll)
- Rolls this wave by the given number of locations.
- scale(self, factor)
- Multplies the wave by a factor.
factor: scale factor
- segment(self, start=None, duration=None)
- Extracts a segment.
start: float start time in seconds
duration: float duration in seconds
returns: Wave
- shift(self, shift)
- Shifts the wave left or right in time.
shift: float time shift
- slice(self, i, j)
- Makes a slice from a Wave.
i: first slice index
j: second slice index
- truncate(self, n)
- Trims this wave to the given length.
n: integer index
- unbias(self)
- Unbiases the signal.
- window(self, window)
- Apply a window to the wave.
window: sequence of multipliers, same length as self.ys
- write(self, filename='sound.wav')
- Write a wave file.
filename: string
- zero_pad(self, n)
- Trims this wave to the given length.
n: integer index
Data descriptors defined here:
- duration
- Duration (property).
returns: float duration in seconds
- end
- start
| |