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Text of the page (random words):
or the form of medical imaging see multidetector computed tomography the modified discrete cosine transform mdct is a transform based on the type iv discrete cosine transform dct iv with the additional property of being lapped it is designed to be performed on consecutive blocks of a larger dataset where subsequent blocks are overlapped so that the last half of one block coincides with the first half of the next block this overlapping in addition to the energy compaction qualities of the dct makes the mdct especially attractive for signal compression applications since it helps to avoid artifacts stemming from the block boundaries as a result of these advantages the mdct is the most widely used lossy compression technique in audio data compression it is employed in most modern audio coding standards including mp3 dolby digital ac 3 vorbis ogg windows media audio wma atrac cook advanced audio coding aac 1 high definition coding hdc 2 ldac dolby ac 4 3 and mpeg h 3d audio 4 as well as speech coding standards such as aac ld ld mdct 5 g 722 1 6 g 729 1 7 celt 8 and opus 9 10 the discrete cosine transform dct was first proposed by nasir ahmed in 1972 11 and demonstrated by ahmed with t natarajan and k r rao in 1974 12 the mdct was later proposed by john p princen a w johnson and alan b bradley at the university of surrey in 1987 13 following earlier work by princen and bradley 1986 14 to develop the mdct s underlying principle of time domain aliasing cancellation tdac described below there also exists an analogous transform the mdst based on the discrete sine transform as well as other rarely used forms of the mdct based on different types of dct or dct dst combinations in mp3 the mdct is not applied to the audio signal directly but rather to the output of a 32 band polyphase quadrature filter pqf bank the output of this mdct is postprocessed by an alias reduction formula to reduce the typical aliasing of the pqf filter bank such a combination of a filter bank with an mdct is called a hybrid filter bank or a subband mdct aac on the other hand normally uses a pure mdct only the rarely used mpeg 4 aac ssr variant by sony uses a four band pqf bank followed by an mdct similar to mp3 atrac uses stacked quadrature mirror filters qmf followed by an mdct definition edit as a lapped transform the mdct is somewhat unusual compared to other fourier related transforms in that it has half as many outputs as inputs instead of the same number in particular it is a linear function f r 2 n r n displaystyle f colon mathbf r 2n to mathbf r n where r denotes the set of real numbers the 2 n real numbers x 0 x 2 n 1 are transformed into the n real numbers x 0 x n 1 according to the formula x k n 0 2 n 1 x n cos π n n 1 2 n 2 k 1 2 displaystyle x_ k sum _ n 0 2n 1 x_ n cos left frac pi n left n frac 1 2 frac n 2 right left k frac 1 2 right right the normalization coefficient in front of this transform here unity is an arbitrary convention and differs between treatments only the product of the normalizations of the mdct and the imdct below is constrained inverse transform edit the inverse mdct is known as the imdct because there are different numbers of inputs and outputs at first glance it might seem that the mdct should not be invertible however perfect invertibility is achieved by adding the overlapped imdcts of subsequent overlapping blocks causing the errors to cancel and the original data to be retrieved this technique is known as time domain aliasing cancellation tdac the imdct transforms n real numbers x 0 x n 1 into 2 n real numbers y 0 y 2 n 1 according to the formula y n 1 n k 0 n 1 x k cos π n n 1 2 n 2 k 1 2 displaystyle y_ n frac 1 n sum _ k 0 n 1 x_ k cos left frac pi n left n frac 1 2 frac n 2 right left k frac 1 2 right right like for the dct iv an orthogonal transform the inverse has the same form as the forward transform in the case of a windowed mdct with the usual window normalization see below the normalization coefficient in front of the imdct should be multiplied by 2 i e becoming 2 n computation edit although the direct application of the mdct formula would require o n 2 operations it is possible to compute the same thing with only o n log n complexity by recursively factorizing the computation as in the fast fourier transform fft one can also compute mdcts via other transforms typically a dft fft or a dct combined with o n pre and post processing steps also as described below any algorithm for the dct iv immediately provides a method to compute the mdct and imdct of even size window functions edit mdct window functions blue cosine red sine cosine green modified kaiser bessel in typical signal compression applications the transform properties are further improved by using a window function w n n 0 2 n 1 that is multiplied with x n in the mdct and with y n in the imdct formulas above in order to avoid discontinuities at the n 0 and 2 n boundaries by making the function go smoothly to zero at those points that is the window function is applied to the data before the mdct or after the imdct in principle x and y could have different window functions and the window function could also change from one block to the next especially for the case where data blocks of different sizes are combined but for simplicity we consider the common case of identical window functions for equal sized blocks the transform remains invertible that is tdac works for a symmetric window w n w 2 n 1 n as long as w satisfies the princen bradley condition w n 2 w n n 2 1 displaystyle w_ n 2 w_ n n 2 1 various window functions are used a window that produces a form known as a modulated lapped transform mlt 15 16 is given by w n sin π 2 n n 1 2 displaystyle w_ n sin left frac pi 2n left n frac 1 2 right right and is used for mp3 and mpeg 2 aac and w n sin π 2 sin 2 π 2 n n 1 2 displaystyle w_ n sin left frac pi 2 sin 2 left frac pi 2n left n frac 1 2 right right right for vorbis ac 3 uses a kaiser bessel derived kbd window and mpeg 4 aac can also use a kbd window note that windows applied to the mdct are different from windows used for some other types of signal analysis since they must fulfill the princen bradley condition one of the reasons for this difference is that mdct windows are applied twice for both the mdct analysis and the imdct synthesis relationship to dct iv and origin of tdac edit as can be seen by inspection of the definitions for even n the mdct is essentially equivalent to a dct iv where the input is shifted by n 2 and two n blocks of data are transformed at once by examining this equivalence more carefully important properties like tdac can be easily derived in order to define the precise relationship to the dct iv one must realize that the dct iv corresponds to alternating even odd boundary conditions even at its left boundary around n 1 2 odd at its right boundary around n n 1 2 and so on instead of periodic boundaries as for a dft this follows from the identities cos π n n 1 1 2 k 1 2 cos π n n 1 2 k 1 2 displaystyle cos left frac pi n left n 1 frac 1 2 right left k frac 1 2 right right cos left frac pi n left n frac 1 2 right left k frac 1 2 right right and cos π n 2 n n 1 1 2 k 1 2 cos π n n 1 2 k 1 2 displaystyle cos left frac pi n left 2n n 1 frac 1 2 right left k frac 1 2 right right cos left frac pi n left n frac 1 2 right left k frac 1 2 right right thus if its inputs are an array x of length n we can imagine extending this array to x x r x x r and so on where x r denotes x in reverse order consider an mdct with 2 n inputs and n outputs where we divide the inputs into four blocks a b c d each of size n 2 if we shift these to the right by n 2 from the n 2 term in the mdct definition then b c d extend past the end of the n dct iv inputs so we must fold them back according to the boundary conditions described above thus the mdct of 2 n inputs a b c d is exactly equivalent to a dct iv of the n inputs c r d a b r where r denotes reversal as above in this way any algorithm to compute the dct iv can be trivially applied to the mdct similarly the imdct formula above is precisely 1 2 of the dct iv which is its own inverse where the output is extended via the boundary conditions to a length 2 n and shifted back to the left by n 2 the inverse dct iv would simply give back the inputs c r d a b r from above when this is extended via the boundary conditions and shifted one obtains imdct mdct a b c d a b r b a r c d r d c r 2 half of the imdct outputs are thus redundant as b a r a b r r and likewise for the last two terms if we group the input into bigger blocks a b of size n where a a b and b c d we can write this result in a simpler way imdct mdct a b a a r b b r 2 one can now understand how tdac works suppose that one computes the mdct of the subsequent 50 overlapped 2 n block b c the imdct will then yield analogous to the above b b r c c r 2 when this is added with the previous imdct result in the overlapping half the reversed terms cancel and one obtains simply b recovering the original data origin of tdac edit the origin of the term time domain aliasing cancellation is now clear the use of input data that extend beyond the boundaries of the logical dct iv causes the data to be aliased in the same way that frequencies beyond the nyquist frequency are aliased to lower frequencies except that this aliasing occurs in the time domain instead of the frequency domain we cannot distinguish the contributions of a and of b r to the mdct of a b c d or equivalently to the result of imdct mdct a b c d a b r b a r c d r d c r 2 the combinations c d r and so on have precisely the right signs for the combinations to cancel when they are added for odd n which are rarely used in practice n 2 is not an integer so the mdct is not simply a shift permutation of a dct iv in this case the additional shift by half a sample means that the mdct imdct becomes equivalent to the dct iii ii and the analysis is analogous to the above smoothness and discontinuities edit we have seen above that the mdct of 2 n inputs a b c d is equivalent to a dct iv of the n inputs c r d a b r the dct iv is designed for the case where the function at the right boundary is odd and therefore the values near the right boundary are close to 0 if the input signal is smooth this is the case the rightmost components of a and b r are consecutive in the input sequence a b c d and therefore their difference is small let us look at the middle of the interval if we rewrite the above expression as c r d a b r d a b c r the second term b c r gives a smooth transition in the middle however in the first term d a there is a potential discontinuity where the right end of d meets the left end of a this is the reason for using a window function that reduces the components near the boundaries of the input sequence a b c d towards 0 tdac for the windowed mdct edit above the tdac property was proved for the ordinary mdct showing that adding imdcts of subsequent blocks in their overlapping half recovers the original data the derivation of this inverse property for the windowed mdct is only slightly more complicated consider two overlapping consecutive sets of 2 n inputs a b and b c for blocks a b c of size n recall from above that when a b displaystyle a b and b c displaystyle b c are mdcted imdcted and added in their overlapping half we obtain b b r 2 b b r 2 b displaystyle b b_ r 2 b b_ r 2 b the original data now we suppose that we multiply both the mdct inputs and the imdct outputs by a window function of length 2 n as above we assume a symmetric window function which is therefore of the form w w r displaystyle w w_ r where w is a length n vector and r denotes reversal as before then the princen bradley condition can be written as w 2 w r 2 1 1 displaystyle w 2 w_ r 2 1 1 ldots with the squares and additions performed elementwise therefore instead of mdcting a b displaystyle a b we now mdct w a w r b displaystyle wa w_ r b with all multiplications performed elementwise when this is imdcted and multiplied again elementwise by the window function the last n half becomes w r w r b w r b r w r w r b w b r w r 2 b w w r b r displaystyle w_ r cdot w_ r b w_ r b _ r w_ r cdot w_ r b wb_ r w_ r 2 b ww_ r b_ r note that we no longer have the multiplication by 1 2 because the imdct normalization differs by a factor of 2 in the windowed case similarly the windowed mdct and imdct of b c displaystyle b c yields in its first n half w w b w r b r w 2 b w w r b r displaystyle w cdot wb w_ r b_ r w 2 b ww_ r b_ r when we add these two halves together we obtain w r 2 b w w r b r w 2 b w w r b r w r 2 w 2 b b displaystyle w_ r 2 b ww_ r b_ r w 2 b ww_ r b_ r left w_ r 2 w 2 right b b recovering the original data see also edit discrete cosine transform other overlapping windowed fourier transforms include modulated complex lapped transform short time fourier transform welch s method audio coding format audio compression data references edit luo fa long 2008 mobile multimedia broadcasting standards technology and practice springer science business media p 590 isbn 9780387782638 jones graham a layer david h osenkowsky thomas g 2013 national association of broadcasters engineering handbook nab engineering handbook taylor francis pp 558 9 isbn 978 1 136 03410 7 dolby ac 4 audio delivery for next generation entertainment services pdf dolby laboratories june 2015 retrieved 11 november 2019 bleidt r l sen d niedermeier a czelhan b füg s et al 2017 development of the mpeg h tv audio system for atsc 3 0 pdf ieee transactions on broadcasting 63 1 202 236 doi 10 1109 tbc 2017 2661258 s2cid 30821673 schnell markus schmidt markus jander manuel albert tobias geiger ralf ruoppila vesa ekstrand per bernhard grill october 2008 mpeg 4 enhanced low delay aac a new standard for high quality communication pdf 125th aes convention fraunhofer iis audio engineering society retrieved 20 october 2019 lutzky manfred schuller gerald gayer marc krämer ulrich wabnik stefan may 2004 a guideline to audio codec delay pdf 116th aes convention fraunhofer iis audio engineering society retrieved 24 october 2019 nagireddi sivannarayana 2008 voip voice and fax signal processing john wiley sons p 69 isbn 9780470377864 presentation of the celt codec archived 2011 08 07 at the wayback machine by timothy b terriberry 65 minutes of video see also presentation slides archived 2023 11 16 at the wayback machine in pdf opus codec opus home page xiph org foundation retrieved july 31 2012 bright peter 2012 09 12 newly standardized opus audio codec fills every role from online chat to music ars technica retrieved 2014 05 28 ahmed nasir january 1991 how i came up with the discrete cosine transform pdf digital signal processing 1 1 4 5 bibcode 1991dsp 1 4a doi 10 1016 1051 2004 91 90086 z ahmed nasir natarajan t rao k r january 1974 discrete cosine transform ieee transactions on computers c 23 1 90 93 doi 10 1109 t c 1974 223784 s2cid 149806273 princen john p johnson a...
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