【 MATLAB 】Signal Processing Toolbox Functions - By Category

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李锐博恩 发表于 2021/07/15 05:35:32 2021/07/15
【摘要】 目录 Signal Processing Toolbox Functions - By Category Signal Generation and Preprocessing Smoothing and Denoising Waveform Generation Resampling Measurements and Feature Extraction De...

目录

Signal Processing Toolbox Functions - By Category

Signal Generation and Preprocessing

Smoothing and Denoising

Waveform Generation

Resampling

Measurements and Feature Extraction

Descriptive Statistics

Pulse and Transition Metrics

Spectral Measurements

Correlation and Convolution

Digital and Analog Filters

Digital Filter Design

Digital Filter Analysis

Digital Filtering

Multirate Signal Processing

Analog Filters

Transforms

Spectral Analysis

Spectral Estimation

Parametric Spectral Estimation

Subspace Methods

Windows

Spectral Measurements

Time-Frequency Analysis

Signal Modeling

Autoregressive and Moving Average Models

Linear Predictive Coding

Vibration Analysis

 

Signal Processing Toolbox Functions - By Category

Signal Generation and Preprocessing

Smoothing and Denoising

detrend Remove linear trends
filloutliers Detect and replace outliers in data
hampel Outlier removal using Hampel identifier
isoutlier Find outliers in data
medfilt1 1-D median filtering
movmad Moving median absolute deviation
movmedian Moving median
sgolay Savitzky-Golay filter design
sgolayfilt Savitzky-Golay filtering
smoothdata Smooth noisy data

Waveform Generation

chirp Swept-frequency cosine
diric Dirichlet or periodic sinc function
gauspuls Gaussian-modulated sinusoidal pulse
gmonopuls Gaussian monopulse
pulstran Pulse train
randn Normally distributed random numbers
rectpuls Sampled aperiodic rectangle
sawtooth Sawtooth or triangle wave
sin Sine of argument in radians
sinc Sinc function
square Square wave
stem Plot discrete sequence data
tripuls Sampled aperiodic triangle
vco Voltage controlled oscillator
buffer Buffer signal vector into matrix of data frames
demod Demodulation for communications simulation
modulate Modulation for communications simulation
seqperiod Compute period of sequence
shiftdata Shift data to operate on specified dimension
unshiftdata Inverse of shiftdata
strips Strip plot
udecode Decode 2n-level quantized integer inputs to floating-point outputs
uencode Quantize and encode floating-point inputs to integer outputs
marcumq Generalized Marcum Q function

Resampling

decimate Decimation — decrease sample rate by integer factor
downsample Decrease sample rate by integer factor
fillgaps Fill gaps using autoregressive modeling
fillmissing Fill missing values
interp Interpolation — increase sample rate by integer factor
interp1 1-D data interpolation (table lookup)
pchip Piecewise Cubic Hermite Interpolating Polynomial (PCHIP)
resample Resample uniform or nonuniform data to new fixed rate
spline Cubic spline data interpolation
upfirdn Upsample, apply FIR filter, and downsample
upsample Increase sample rate by integer factor

Measurements and Feature Extraction

Descriptive Statistics

cummax Cumulative maximum
cummin Cumulative minimum
envelope Signal envelope
max Maximum elements of an array
mean Average or mean value of array
meanfreq Mean frequency
medfreq Median frequency
median Median value of array
min Minimum elements of an array
movmad Moving median absolute deviation
movmedian Moving median
peak2peak Maximum-to-minimum difference
peak2rms Peak-magnitude-to-RMS ratio
rms Root-mean-square level
rssq Root-sum-of-squares level
seqperiod Compute period of sequence
std Standard deviation
var Variance
alignsignals Align two signals by delaying earliest signal
cusum Detect small changes in mean using cumulative sum
dtw Distance between signals using dynamic time warping
edr Edit distance on real signals
findchangepts Find abrupt changes in signal
finddelay Estimate delay(s) between signals
findpeaks Find local maxima
findsignal Find signal location using similarity search

Pulse and Transition Metrics

dutycycle Duty cycle of pulse waveform
midcross Mid-reference level crossing for bilevel waveform
pulseperiod Period of bilevel pulse
pulsesep Separation between bilevel waveform pulses
pulsewidth Bilevel waveform pulse width
statelevels State-level estimation for bilevel waveform with histogram method
falltime Fall time of negative-going bilevel waveform transitions
overshoot Overshoot metrics of bilevel waveform transitions
risetime Rise time of positive-going bilevel waveform transitions
settlingtime Settling time for bilevel waveform
slewrate Slew rate of bilevel waveform
undershoot Undershoot metrics of bilevel waveform transitions

Spectral Measurements

bandpower Band power
enbw Equivalent noise bandwidth
instfreq Estimate instantaneous frequency
meanfreq Mean frequency
medfreq Median frequency
obw Occupied bandwidth
pentropy Spectral entropy of signal
pkurtosis Spectral kurtosis from signal or spectrogram
powerbw Power bandwidth
sfdr Spurious free dynamic range
sinad Signal to noise and distortion ratio
snr Signal-to-noise ratio
thd Total harmonic distortion
toi Third-order intercept point

Correlation and Convolution

corrcoef Correlation coefficients
corrmtx Data matrix for autocorrelation matrix estimation
xcorr Cross-correlation
xcorr2 2-D cross-correlation
xcov Cross-covariance
cconv Modulo-N circular convolution
conv Convolution and polynomial multiplication
conv2 2-D convolution
convmtx Convolution matrix
cov Covariance
deconv Deconvolution and polynomial division
alignsignals Align two signals by delaying earliest signal
dtw Distance between signals using dynamic time warping
edr Edit distance on real signals
finddelay Estimate delay(s) between signals
findsignal Find signal location using similarity search

Digital and Analog Filters

Digital Filter Design

butter Butterworth filter design
buttord Butterworth filter order and cutoff frequency
cheby1 Chebyshev Type I filter design
cheb1ord Chebyshev Type I filter order
cheby2 Chebyshev Type II filter design
cheb2ord Chebyshev Type II filter order
designfilt Design digital filters
ellip Elliptic filter design
ellipord Minimum order for elliptic filters
polyscale Scale roots of polynomial
polystab Stabilize polynomial
yulewalk Recursive digital filter design
cfirpm Complex and nonlinear-phase equiripple FIR filter design
designfilt Design digital filters
fir1 Window-based FIR filter design
fir2 Frequency sampling-based FIR filter design
fircls Constrained-least-squares FIR multiband filter design
fircls1 Constrained-least-squares linear-phase FIR lowpass and highpass filter design
firls Least-squares linear-phase FIR filter design
firpm Parks-McClellan optimal FIR filter design
firpmord Parks-McClellan optimal FIR filter order estimation
gaussdesign Gaussian FIR pulse-shaping filter design
intfilt Interpolation FIR filter design
kaiserord Kaiser window FIR filter design estimation parameters
maxflat Generalized digital Butterworth filter design
rcosdesign Raised cosine FIR pulse-shaping filter design
sgolay Savitzky-Golay filter design
digitalFilter Digital filter
double Cast coefficients of digital filter to double precision
dspfwiz Create Simulink filter block using Realize Model panel
filt2block Generate Simulink filter block
fvtool Open Filter Visualization Tool
info Information about digital filter
isdouble Determine if digital filter coefficients are double precision
issingle Determine if digital filter coefficients are single precision
single Cast coefficients of digital filter to single precision

Digital Filter Analysis

abs Absolute value or complex magnitude
angle Phase angle
freqz Frequency response of digital filter
grpdelay Average filter delay (group delay)
phasedelay Phase delay of digital filter
phasez Phase response of digital filter
unwrap Correct phase angles to produce smoother phase plots
zerophase Zero-phase response of digital filter
zplane Zero-pole plot for discrete-time systems
impz Impulse response of digital filter
impzlength Impulse response length
stepz Step response of digital filter
filtord Filter order
filternorm 2-norm or infinity-norm of digital filter
firtype Type of linear phase FIR filter
isallpass Determine whether filter is allpass
isfir Determine if digital filter has finite impulse response
islinphase Determine whether filter has linear phase
ismaxphase Determine whether filter is maximum phase
isminphase Determine whether filter is minimum phase
isstable Determine whether filter is stable
fvtool Open Filter Visualization Tool

Digital Filtering

bandpass Bandpass-filter signals
bandstop Bandstop-filter signals
highpass Highpass-filter signals
lowpass Lowpass-filter signals
fftfilt FFT-based FIR filtering using overlap-add method
filter Filter data with recursive (IIR) or nonrecursive (FIR) filter
filter2 2-D digital filter
filtfilt Zero-phase digital filtering
filtic Initial conditions for transposed direct-form II filter implementation
hampel Outlier removal using Hampel identifier
latcfilt Lattice and lattice-ladder filter implementation
medfilt1 1-D median filtering
residuez Z-transform partial-fraction expansion
sgolayfilt Savitzky-Golay filtering
sosfilt Second-order (biquadratic) IIR digital filtering
conv Convolution and polynomial multiplication
conv2 2-D convolution
convmtx Convolution matrix
deconv Deconvolution and polynomial division
cell2sos Convert second-order sections cell array to matrix
eqtflength Equalize lengths of transfer function's numerator and denominator
latc2tf Convert lattice filter parameters to transfer function form
sos2cell Convert second-order sections matrix to cell array
sos2ss Convert digital filter second-order section parameters to state-space form
sos2tf Convert digital filter second-order section data to transfer function form
sos2zp Convert digital filter second-order section parameters to zero-pole-gain form
ss Convert digital filter to state-space representation
ss2sos Convert digital filter state-space parameters to second-order sections form
ss2tf Convert state-space representation to transfer function
ss2zp Convert state-space filter parameters to zero-pole-gain form
tf Convert digital filter to transfer function
tf2latc Convert transfer function filter parameters to lattice filter form
tf2sos Convert digital filter transfer function data to second-order sections form
tf2ss Convert transfer function filter parameters to state-space form
tf2zp Convert transfer function filter parameters to zero-pole-gain form
tf2zpk Convert transfer function filter parameters to zero-pole-gain form
zp2sos Convert zero-pole-gain filter parameters to second-order sections form
zp2ss Convert zero-pole-gain filter parameters to state-space form
zp2tf Convert zero-pole-gain filter parameters to transfer function form
zpk Convert digital filter to zero-pole-gain representation
dspfwiz Create Simulink filter block using Realize Model panel
filt2block Generate Simulink filter block

Multirate Signal Processing

decimate Decimation — decrease sample rate by integer factor
downsample Decrease sample rate by integer factor
fillgaps Fill gaps using autoregressive modeling
interp Interpolation — increase sample rate by integer factor
interp1 1-D data interpolation (table lookup)
pchip Piecewise Cubic Hermite Interpolating Polynomial (PCHIP)
resample Resample uniform or nonuniform data to new fixed rate
spline Cubic spline data interpolation
upfirdn Upsample, apply FIR filter, and downsample
upsample Increase sample rate by integer factor

Analog Filters

besself Bessel analog filter design
butter Butterworth filter design
cheby1 Chebyshev Type I filter design
cheby2 Chebyshev Type II filter design
ellip Elliptic filter design
freqs Frequency response of analog filters
freqspace Frequency spacing for frequency response
besselap Bessel analog lowpass filter prototype
bilinear Bilinear transformation method for analog-to-digital filter conversion
buttap Butterworth filter prototype
cheb1ap Chebyshev Type I analog lowpass filter prototype
cheb2ap Chebyshev Type II analog lowpass filter prototype
ellipap Elliptic analog lowpass filter prototype
impinvar Impulse invariance method for analog-to-digital filter conversion
lp2bp Transform lowpass analog filters to bandpass
lp2bs Transform lowpass analog filters to bandstop
lp2hp Transform lowpass analog filters to highpass
lp2lp Change cutoff frequency for lowpass analog filter

Transforms

abs Absolute value or complex magnitude
angle Phase angle
fft Fast Fourier transform
ifft Inverse fast Fourier transform
fftshift Shift zero-frequency component to center of spectrum
dftmtx Discrete Fourier transform matrix
fft2 2-D fast Fourier transform
ifft2 2-D inverse fast Fourier transform
instfreq Estimate instantaneous frequency
czt Chirp Z-transform
goertzel Discrete Fourier transform with second-order Goertzel algorithm
dct Discrete cosine transform
idct Inverse discrete cosine transform
envelope Signal envelope
fwht Fast Walsh-Hadamard transform
ifwht Inverse Fast Walsh-Hadamard transform
hilbert Discrete-time analytic signal using Hilbert transform
cceps Complex cepstral analysis
icceps Inverse complex cepstrum
rceps Real cepstrum and minimum phase reconstruction
bitrevorder Permute data into bit-reversed order
digitrevorder Permute input into digit-reversed order

Spectral Analysis

Spectral Estimation

cpsd Cross power spectral density
findpeaks Find local maxima
mscohere Magnitude-squared coherence
pentropy Spectral entropy of signal
periodogram Periodogram power spectral density estimate
plomb Lomb-Scargle periodogram
pmtm Multitaper power spectral density estimate
poctave Generate octave spectrum
pspectrum Analyze signals in the frequency and time-frequency domains
pwelch Welch’s power spectral density estimate
tfestimate Transfer function estimate
db Convert energy or power measurements to decibels
db2mag Convert decibels to magnitude
db2pow Convert decibels to power
mag2db Convert magnitude to decibels
pow2db Convert power to decibels

Parametric Spectral Estimation

findpeaks Find local maxima
pburg Autoregressive power spectral density estimate — Burg’s method
pcov Autoregressive power spectral density estimate — covariance method
pmcov Autoregressive power spectral density estimate — modified covariance method
pyulear Autoregressive power spectral density estimate — Yule-Walker method
db Convert energy or power measurements to decibels
db2mag Convert decibels to magnitude
db2pow Convert decibels to power
mag2db Convert magnitude to decibels
pow2db Convert power to decibels

Subspace Methods

peig Pseudospectrum using eigenvector method
pmusic Pseudospectrum using MUSIC algorithm
rooteig Frequency and power content using eigenvector method
rootmusic Root MUSIC algorithm

Windows

barthannwin Modified Bartlett-Hann window
bartlett Bartlett window
blackman Blackman window
blackmanharris Minimum 4-term Blackman-Harris window
bohmanwin Bohman window
chebwin Chebyshev window
enbw Equivalent noise bandwidth
flattopwin Flat top weighted window
gausswin Gaussian window
hamming Hamming window
hann Hann (Hanning) window
kaiser Kaiser window
nuttallwin Nuttall-defined minimum 4-term Blackman-Harris window
parzenwin Parzen (de la Vallée Poussin) window
rectwin Rectangular window
taylorwin Taylor window
triang Triangular window
tukeywin Tukey (tapered cosine) window
wvtool Open Window Visualization Tool
dpss Discrete prolate spheroidal (Slepian) sequences
dpssclear Remove discrete prolate spheroidal sequences from database
dpssdir Discrete prolate spheroidal sequences database directory
dpssload Load discrete prolate spheroidal sequences from database
dpsssave Discrete prolate spheroidal or Slepian sequence database

Spectral Measurements

bandpower Band power
enbw Equivalent noise bandwidth
instfreq Estimate instantaneous frequency
meanfreq Mean frequency
medfreq Median frequency
obw Occupied bandwidth
pentropy Spectral entropy of signal
pkurtosis Spectral kurtosis from signal or spectrogram
powerbw Power bandwidth
sfdr Spurious free dynamic range
sinad Signal to noise and distortion ratio
snr Signal-to-noise ratio
thd Total harmonic distortion
toi Third-order intercept point

Time-Frequency Analysis

emd Empirical mode decomposition
fsst Fourier synchrosqueezed transform
hht Hilbert-Huang transform
ifsst Inverse Fourier synchrosqueezed transform
instfreq Estimate instantaneous frequency
kurtogram Visualize spectral kurtosis
pentropy Spectral entropy of signal
pkurtosis Spectral kurtosis from signal or spectrogram
pspectrum Analyze signals in the frequency and time-frequency domains
spectrogram Spectrogram using short-time Fourier transform
tfridge Time-frequency ridges
xspectrogram Cross-spectrogram using short-time Fourier transforms

Signal Modeling

Autoregressive and Moving Average Models

arburg Autoregressive all-pole model parameters — Burg’s method
arcov Autoregressive all-pole model parameters — covariance method
armcov Autoregressive all-pole model parameters — modified covariance method
aryule Autoregressive all-pole model parameters — Yule-Walker method
invfreqs Identify continuous-time filter parameters from frequency response data
invfreqz Identify discrete-time filter parameters from frequency response data
prony Prony method for filter design
stmcb Compute linear model using Steiglitz-McBride iteration

Linear Predictive Coding

corrmtx Data matrix for autocorrelation matrix estimation
levinson Levinson-Durbin recursion
lpc Linear prediction filter coefficients
rlevinson Reverse Levinson-Durbin recursion
schurrc Compute reflection coefficients from autocorrelation sequence
xcorr Cross-correlation
xcov Cross-covariance
ac2poly Convert autocorrelation sequence to prediction polynomial
ac2rc Convert autocorrelation sequence to reflection coefficients
is2rc Convert inverse sine parameters to reflection coefficients
lar2rc Convert log area ratio parameters to reflection coefficients
lsf2poly Convert line spectral frequencies to prediction filter coefficients
poly2ac Convert prediction filter polynomial to autocorrelation sequence
poly2lsf Convert prediction filter coefficients to line spectral frequencies
poly2rc Convert prediction filter polynomial to reflection coefficients
rc2ac Convert reflection coefficients to autocorrelation sequence
rc2is Convert reflection coefficients to inverse sine parameters
rc2lar Convert reflection coefficients to log area ratio parameters
rc2poly Convert reflection coefficients to prediction filter polynomial

Vibration Analysis

envspectrum Envelope spectrum for machinery diagnosis
orderspectrum Average spectrum versus order for vibration signal
ordertrack Track and extract order magnitudes from vibration signal
orderwaveform Extract time-domain order waveforms from vibration signal
rpmfreqmap Frequency-RPM map for order analysis
rpmordermap Order-RPM map for order analysis
rpmtrack Track and extract RPM profile from vibration signal
tachorpm Extract RPM signal from tachometer pulses
tsa Time-synchronous signal average
modalfit Modal parameters from frequency-response functions
modalfrf Frequency-response functions for modal analysis
modalsd Generate stabilization diagram for modal analysis
rainflow Rainflow counts for fatigue analysis

 

文章来源: reborn.blog.csdn.net，作者：李锐博恩，版权归原作者所有，如需转载，请联系作者。

原文链接：reborn.blog.csdn.net/article/details/83445904

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