FOSSEE Signal Processing Toolbox

• FOSSEE Signal Processing Toolbox
  • ac2poly — Convert autocorrelation sequence to polynomial of prediction filter
  • ac2rc — Convert autocorrelation sequence to reflection coefficients.
  • arParEst —
  • ar_psd — Calculate the power spectrum of the autoregressive model
  • arburg — This function calculates coefficients of an autoregressive (AR) model of complex data.
  • arch_fit — This functions fits an ARCH regression model to the time series Y using the scoring algorithm in Engle's original ARCH paper.
  • arch_rnd — Simulate an ARCH sequence of length t with AR coefficients b and CH coefficients a.
  • arch_test — perform a Lagrange Multiplier (LM) test of thenull hypothesis of no conditional heteroscedascity against the alternative of CH(P)
  • arcov — Autoregressive all-pole model parameters — covariance method
  • arma_rnd — Return a simulation of the ARMA model.
  • armcov —
  • aryule — This function fits an AR (p)-model with Yule-Walker estimates.
  • autoreg_matrix — Given a time series (vector) Y, return a matrix with ones in the first column and the first K lagged values of Y in the other columns.
  • barthannwin — This function returns the filter coefficients of a modified Bartlett-Hann window.
  • bartlett — Generates a Bartlett window
  • besselap — Return bessel analog filter prototype.
  • besself — This function generates a Bessel filter.
  • bilinear — Transform a s-plane filter specification into a z-plane specification
  • bitrevorder —
  • blackman — Generates a Blackman window
  • blackmanharris — This function returns the filter coefficients of a Blackman-Harris window.
  • blackmannuttall — This function returns the filter coefficients of a Blackman-Nuttall window.
  • bohmanwin — This function returns the filter coefficients of a Bohman window.
  • boxcar — This function returns the filter coefficients of a rectangular window.
  • buffer — This function buffers the given data into a matrix of signal frames
  • buttap — Design a lowpass analog Butterworth filter.
  • butter — This function generates a Butterworth filter.
  • buttord — /This function computes the minimum filter order of a Butterworth filter with the desired response characteristics.
  • cceps — Return the complex cepstrum of the vector x
  • cconv — [nargout,nargin]=argn();
  • cell2sos — Converts a cell array to a second order section matrix
  • cheb — Calculates the nth-order Chebyshev polynomial at the point x.
  • cheb1ap — This function designs a lowpass analog Chebyshev type I filter.
  • cheb1ord — This function computes the minimum filter order of a Chebyshev type I filter with the desired response characteristics.
  • cheb2ap — This function designs a lowpass analog Chebyshev type II filter.
  • cheb2ord — This function computes the minimum filter order of a Chebyshev type II filter with the desired response characteristics.
  • chebwin — This function returns the filter coefficients of a Dolph-Chebyshev window.
  • cheby1 — This function generates a Chebyshev type I filter with rp dB of passband ripple.
  • cheby2 — This function generates a Chebyshev type II filter with rs dB of stopband attenuation.
  • check — funcprot(0);
  • chirp — This function evaluates a chirp signal at time t.
  • cl2bp — Constrained L2 bandpass FIR filter design.
  • clustersegment — This function calculates boundary indexes of clusters of 1’s.
  • cmorwavf — funcprot(0);
  • cohere — Estimate (mean square) coherence of signals "x" and "y"
  • convmtx — n=double(n);
  • corrmtx — Generate data matrix for autocorrelation matrix estimation
  • cplxreal — Function to divide vector z into complex and real elements, removing the one of each complex conjugate pair.
  • cpsd — This function estimates cross power spectrum of data x and y by the Welch (1967) periodogram/FFT method.
  • cummax — Cumulative maximum
  • cummin — Cumulative minimum
  • czt — Chirp Z Transform
  • db —
  • db2pow —
  • dctmtx —
  • decimate — rhs = argn(2)
  • detrend1 — This function removes the best fit of a polynomial of order P from the data X
  • dftmtx —
  • diffpara — Return the estimator D for the differencing parameter of an integrated time series
  • diric —
  • downsample — This function downsamples the signal by selecting every nth element.
  • dst1 — Computes the type I discrete sine transform of x
  • durbinlevinson — Perform one step of the Durbin-Levinson algorithm..
  • dutycycle —
  • dwt — Discrete wavelet transform (1D)
  • ellip — This function generates an elliptic or Cauer filter with rp dB of passband ripple and rs dB of stopband attenuation.
  • ellipap — Designs a lowpass analog elliptic filter.
  • ellipord — This function computes the minimum filter order of an elliptic filter with the desired response characteristics.
  • enbw —
  • eqtflength — Modifies the input vector to give output vectors of the same length
  • falltime —
  • fft — Calculates the discrete Fourier transform of a matrix using Fast Fourier Transform algorithm.
  • fft1 — Calculates the discrete Fourier transform of a matrix using Fast Fourier Transform algorithm.
  • fft2 — Calculates the two-dimensional discrete Fourier transform of A using a Fast Fourier Transform algorithm.
  • fft21 — Calculates the two-dimensional discrete Fourier transform of A using a Fast Fourier Transform algorithm.
  • fftconv — Convolve two vectors using the FFT for computation.
  • fftfilt — Performs FFT-based FIR filtering using overlap-add method
  • fftn — This function computes the N-dimensional discrete Fourier transform of A using a Fast Fourier Transform (FFT) algorithm.
  • fftshift1 — Perform a shift of the vector X, for use with the 'fft1' and 'ifft1' functions, in order the move the frequency 0 to the center of the vector or matrix.
  • fftw1 — Manage FFTW wisdom data.
  • fht — The Function calculates the Fast Hartley Transform of real input.
  • filter1 — Apply a 1-D digital filter to the data X.
  • filter2 — Apply the 2-D FIR filter B to X.
  • filternorm — Calculates the L-2 norm or L-infinity norm of a digital filter
  • filtfilt —
  • filtic —
  • filtord — and denominator coefficients, a.
  • findpeaks — This function find peaks on DATA.
  • fir1 — Produce an order N FIR filter with the given frequency cutoff, returning the N+1 filter coefficients in B.
  • fir2 — Produce an order N FIR filter with arbitrary frequency response M over frequency bands F, returning the N+1 filter coefficients in B.
  • firpmord — Parks-McClennan optimal FIR filter order estimation
  • firtype — if (type(b)~=1) then
  • flattopwin — This function returns the filter coefficients of a Flat Top window.
  • fracshift — This function shifts the series x supplied as input argument by a number of samples d.
  • fractdiff — Compute the fractional differences (1-L)^d x where L denotes the lag-operator and d is greater than -1.
  • freqs — Compute the s-plane frequency response of the IIR filter.
  • freqz — This function returns the complex frequency response H of the rational IIR filter whose numerator and denominator coefficients are B and A, respectively.
  • fwhm — This function computes peak full width at half minimum or at another level of peak minimum for vector or matrix data y supplied as input.
  • fwhmjlt — rhs = argn(2)
  • fwht — Compute the Walsh-Hadamard transform of x using the Fast Walsh-Hadamard Transform (FWHT) algorithm
  • gauspuls —
  • gaussdesign — GAUSSDESIGN designs a Gaussian pulse-shaping filter which is a low pass FIR
  • gaussian — This function returns a Gaussian convolution window.
  • gausswin — This function returns the filter coefficients of a Gaussian window.
  • gmonopuls —
  • goertzel — Computes DFT using the second order Goertzel Algorithm
  • grpdelay — This function computes the group delay of a filter.
  • hamming — Return the filter coefficients of a Hamming window of length M
  • hann — This function returns the filter coefficients of a Hanning window.
  • hanning — Return the filter coefficients of a Hanning window of length M
  • helperHarmonicDistortionAmplifier — helperHarmonicDistortionADC Helper function for HarmonicDistortionExample.m
  • hilbert1 — Analytic extension of real valued signal.
  • hurst — Estimate the Hurst parameter of sample X via the rescaled r statistic.
  • icceps — ICCEPS computes the inverse cepstrum of a real-valued input. This spectrum
  • idct1 — Compute the inverse discrete cosine transform of input.
  • idct2 — This function computes the inverse 2-D discrete cosine transform of input matrix.
  • idst1 — This function computes the inverse type I discrete sine transform.
  • ifft — Calculates the inverse discrete Fourier transform of a matrix using Fast Fourier Transform algorithm.
  • ifft1 — Calculates the inverse discrete Fourier transform of a matrix using Fast Fourier Transform algorithm.
  • ifft2 — Calculates the inverse two-dimensional discrete Fourier transform of A using a Fast Fourier Transform algorithm.
  • ifftn — Compute the inverse N-dimensional discrete Fourier transform of A using a Fast Fourier Transform (FFT) algorithm.
  • ifftshift1 — Undo the action of the 'fftshift1' function.
  • ifht — Calculate the inverse Fast Hartley Transform of real input D
  • ifwht — Compute the inverse Walsh-Hadamard transform of x using the Fast Walsh-Hadamard Transform (FWHT) algorithm
  • iirlp2mb — This function does IIR Low Pass Filter to Multiband Filter Transformation.
  • impinvar — This function converts analog filter with coefficients b and a to digital, conserving impulse response.
  • impz —
  • impzlength — Impulse response length
  • interp — function y = interp(x, q, n, Wc)
  • intfilt —
  • invfreq — Calculates inverse frequency vectors
  • invfreqs — Fit filter B(s)/A(s)to the complex frequency response H at frequency points F. A and B are real polynomial coefficients of order nA and nB.
  • invfreqz — Fit filter B(z)/A(z)to the complex frequency response H at frequency points F. A and B are real polynomial coefficients of order nA and nB.
  • invimpinvar — This function converts digital filter with coefficients b and a to analog, conserving impulse response.
  • is2rc — Convert inverse sine parameters to reflection coefficients
  • isallpass — [nargout,nargin]=argn();
  • isfir — [nargout,nargin]=argn();
  • islinphase — [nargout,nargin]=argn();
  • ismaxphase — [nargout,nargin]=argn();
  • isminphase — [nargout,nargin]=argn();
  • isstable — SOS matrix corresponds to [bi(1) bi(2) bi(3) ai(1) ai(2) ai(3)].
  • kaiser — This function returns the filter coefficients of a Kaiser window.
  • kaiserord — Return the parameters needed to produce a filter of the desired specification from a Kaiser window.
  • lar2rc —
  • latc2tf — Convert lattice filter parameters to transfer function coefficients
  • latcfilt — function [f,g,zo]=latcfilt(k,x,v,zi,dim)
  • latcfilt1 — function [f,g,zo]=latcfilt1(k,v,x,zi)
  • levdown —
  • levin — [ar,sigma2,rc]=lev(r)
  • levinson —
  • lpc — Linear prediction filter coefficients
  • lsf2poly — lsf2poly function convert line spectral frequencies to prediction polynomial.
  • mag2db — funcprot(0);
  • marcumq — This function computes the generalized Marcum Q function of order m with noncentrality parameter a and argument b.
  • medfilt1 — 1D median filtering
  • mexihat —
  • meyeraux —
  • midcross —
  • modulate — Modulates signal according to the modulation method
  • morlet —
  • movingrms —
  • mscohere — It estimate (mean square) coherence of signals x and y.
  • musicBase — Implements the core of the MUSIC algorithm
  • ncauer — Analog prototype for Cauer filter.
  • nnls — Non Negative Least Squares (nnls) for Ex=f with the constraint x>=0
  • nuttallwin — This function returns the filter coefficients of a Blackman-Harris window.
  • parzenwin — This function returns the filter coefficients of a Parzen window.
  • pburg — Calculate Burg maximum-entropy power spectral density.
  • pchip —
  • pchips —
  • peak2peak — funcprot(0);
  • peak2rms — This function calculates the ratio of peak magnitude to the Root Mean Square(RMS) value.
  • pei_tseng_notch —
  • peig — Psuedospectrum using the eigenvector method.
  • periodogram — Return the periodogram (Power Spectral Density) of X
  • phaseInputParseAs_ab — fs=0;
  • phaseInputParseAs_sos — fs=0;
  • phasedelay — cas variable is 2 if sos form is involved and 1 if direct rational form is given
  • phasez — cas variable is 2 if sos form is involved and 1 if direct rational form is given
  • pmusic — Psuedospectrum using MUSIC algorithm
  • poly2ac — Convert prediction polynomial to autocorrelation sequence.
  • poly2lsf —
  • poly2rc —
  • polyscale — errcheck1
  • polystab — This function stabilizes the polynomial transfer function.
  • polyval —
  • pow2db — rhs = argn(2)
  • primitive — This function calculates the primitive of a given function supplied as input.
  • prony —
  • pulseperiod —
  • pulsesep —
  • pulsewidth —
  • pulstran — This function generates the signal y = sum(func(t+d,...)) for each d.
  • pwelch — Estimate power spectral density of data "x" by the Welch (1967) periodogram/FFT method.
  • pyulear —
  • qp_kaiser — Computes a finite impulse response (FIR) filter for use with a quasi-perfect reconstruction polyphase-network filter bank.
  • rc2ac —
  • rc2is — Convert reflection coefficients to inverse sine parameters
  • rc2lar —
  • rc2poly —
  • rceps — Produce the cepstrum of the signal x, and if desired, the minimum phase reconstruction of the signal x.
  • rcosdesign — RCOSDESIGN computes the raised cosine FIR filter
  • rectpuls —
  • rectwin — This function returns the filter coefficients of a rectangular window.
  • remez1 — Parks-McClellan optimal FIR filter design
  • resample — This function resamples in the input sequence x supplied by a factor of p/q.
  • residued —
  • residuez —
  • risetime —
  • rlevinson —
  • rms — convert i/p values to their ascii values if they are of type char
  • rooteig — Frequencies and power of sinusoids using eigenvector algorithm
  • rootmusic — Frequencies and power of sinusoids using the root MUSIC algorithm
  • rssq — This function calculates the square root of the sum of values of input vector IN.
  • sampled2continuous — This function calculates the output reconstructed from the samples n supplied as input, at a rate of 1/s samples per unit time.
  • sawtooth —
  • schtrig — This function implements a multisignal Schmitt triggers with lev levels supplied as input.
  • schurrc — narginchk(1,1,argn(2));
  • seqperiod — Calculates the period of a sequence
  • sftrans — Transform band edges of a generic lowpass filter (cutoff at W=1) represented in splane zero-pole-gain form.
  • sgolay — This function computes the filter coefficients for all Savitzsky-Golay smoothing filters.
  • sgolayfilt —
  • shanwavf —
  • shiftdata — Shifts data by rearranging dimensions
  • sigmoid_train — Evaluate a train of sigmoid functions at T.
  • sinetone — Return a sinetone of the input
  • sinewave — Return an M-element vector with I-th element given by 'sin(2* pi *(I+D-1)/N).'
  • slewrate —
  • sos2cell — Converts a second order section matrix to a cell array
  • sos2ss — [nargout,nargin]=argn();
  • sos2tf — This function converts series second-order sections to direct H(z) = B(z)/A(z) form.
  • sos2zp — This function converts series second-order sections to zeros, poles, and gains (pole residues).
  • sosbreak — function for breaking a polynomial in second order polynomials (and an extra linear)
  • sosfilt —
  • specgram —
  • spectral_adf — Return the spectral density estimator given a vector of autocovariances C, window name WIN, and bandwidth, B.
  • spectral_xdf — Return the spectral density estimator given a data vector X, window name WIN, and bandwidth, B.
  • spencer — Return Spencer's 15 point moving average of each column of X.
  • ss2sos — not taking if, order and scale as input since they do not seem useful
  • statelevels —
  • stft — Compute the short-time Fourier transform of the vector X
  • stmcb — function [b,a] = stmcb( x, u_in, q, p, niter, a_in )
  • strips — Plots vector or matrix in strips
  • subspaceMethodsInputParser — Input parser to be used by pmusic and peig
  • synthesis — Compute a signal from its short-time Fourier transform
  • tf2sos — This function converts direct-form filter coefficients to series second-order sections.
  • tf2zp — [z,p,k]= tf2zp(b,a);
  • tf2zpk — form
  • tfe — Estimate transfer function of system with input "x" and output "y". Use the Welch (1967) periodogram/FFT method.
  • tfestimate —
  • transpose — funcprot(0);
  • trial_iirlp2mb — B = varargin(1)
  • triang — This function returns the filter coefficients of a triangular window.
  • tripuls —
  • truth — y = %t
  • tukeywin — This function returns the filter coefficients of a Tukey window.
  • udecode — Decodes the input uniformly quantized values
  • uencode — Performs uniform quantization of the input into 2^n levels
  • ultrwin — This function returns the coefficients of an Ultraspherical window.
  • unshiftdata — Inverts the effect of shiftdata
  • unwrap2 — Unwrap radian phases by adding or subtracting multiples of 2*pi.
  • upfirdn — This function upsamples the input data, applies the FIR filter and then downsamples it.
  • upsample — This function upsamples the signal, inserting n-1 zeros between every element.
  • upsamplefill — This function upsamples a vector interleaving given values or copies of the vector elements.
  • var —
  • vco — Voltage Controlled Oscillator
  • wconv — Performs 1D or 2D convolution.
  • welchwin — This function returns the filter coefficients of a Welch window.
  • window — This function creates an m-point window from the function f given as input.
  • wkeep —
  • wrev —
  • xcorr1 — Estimates the cross-correlation.
  • xcorr2 —
  • xcov1 — Compute covariance at various lags [=correlation(x-mean(x),y-mean(y))].
  • yulewalker — Fit an AR (p)-model with Yule-Walker estimates given a vector C of autocovariances '[gamma_0, ..., gamma_p]'.
  • zerocrossing — This function estimates the points at which a given waveform crosses the x-axis.
  • zp2sos — This function converts filter poles and zeros to second-order sections.
  • zp2ss — Converts zeros / poles to state space.
  • zp2tf — Converts zeros / poles to a transfer function.
  • zplane — funcprot(0);