代码搜索:FOUNDATION

找到约 10,000 项符合「FOUNDATION」的源代码

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m rsfft.m

function x=srfft(y,n) %SRFFT fft of a real symmetric spectrum X=(Y,N) % The invere fft is the same function but divided by N % Y contains FIX(1+N/2) complex samples from the spectrum: if argumen
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m lpcar2pp.m

function pp=lpcar2pp(ar) %LPCAR2PP LPC: Convert ar filter to power spectrum polynomial in cos(w) PP=(AR) % the pp is a polynomial such that |polyval(ar,e^jw)|^2 = polyval(pp,cos(w)) % Copyri
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m lognmpdf.m

function p=lognmpdf(x,m,v) %LOGNMPDF calculate pdf of a multivariate lognormal distribution P=(X,M,V) % % Inputs: X(N,D) are the points at which to calculate the pdf (one point per row) %
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m lpcrf2aa.m

function aa=lpcrf2aa(rf) %LPCRF2AA Convert reflection coefficients to area function AA=(RF) %The areas are normalised so that aa(p+2)=1: the effective area of the free air beyond the lips. % aa(1)
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m capacity.m

% Capacity determines the ergodic capacity under modulation constraints % % The calling syntax is: % [output] = capacity( input, data ) % % output = Instantaneous capacity of this frame
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m rnsubset.m

function m = rnsubset(k,n) %RNSUBSET choose k distinct random integers from 1:n M=(K,N) % % Inputs: % % K is number of disinct integers required from the range 1:N % N specifies the range
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m frq2midi.m

function [n,t]=frq2midi(f) %FRQ2MIDI Convert frequencies to musical note numbers [N,T]=(F) % notes are numbered in semitones with middle C being 60 % Note 69 (the A above middle C) has a frequency
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m permutes.m

function [p,s]=permutes(n) %PERMUTES All N! permutations of 1:N + signatures [P,S]=(N) % The output P is a matrix of size (N!,N) where each row % contains a permutation of the numbers 1:N. The rows
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m frq2erb.m

function erb = frq2erb(frq) %FRQ2ERB Convert Hertz to ERB frequency scale ERB=(FRQ) % erb = frq2erb(frq) converts a vector of frequencies (in Hz) % to the corresponding values on the ERB-rate scal
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m rotro2pl.m

function [u,v,t]=rotro2pl(r) %ROTRO2PL find the plane and rotation angle of a rotation matrix [u,v,t]=r % Inputs: % % R(n,n) Rotation matrix % % Outputs: % % U(n,1) and V(n,1) are or