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4;A18>4;A5D9@F7=C29@/7=/7=Ȥɥɥ@18>/7=.6<-5<18>18?29@3;@18?-5<,4;/7=18?/7=/7=/7=5/7=18>29@4;A.6<+3;+3;*29)18+3;18?4;A3;@3;@3;@5/7=/7=.618?29?3;@3;@18>+3;)18*29.6,4;,4;-5<-58?D=CI;@F5D9@F7=C29@18>/7=/7=.618?29?3;@3;@18>+3;)18*29.6,4;,4;-5<-58?D=CI;@F5D9@F7=C29@18>/7=/7=.618?29?3;@3;@18>+3;)18*29.6,4;,4;/7=29@.6<-5</7=3;@5/7=/7=Ȥɥɥ@/7=/7=-5,4;*2918?3;@29?18>/7=29?29?-5<+29+3;.6<29@;@FAFKȪ-5<-5<.629?53;@18>,4;+29-5<3;@8?D7>D3;@29@18?/7=18>29@4;A29?,4;+3;*29)18+3;18?4;A4;A3;@3;@5D29@18>/7=.6<-518>18?29@3;@18?-5<+29,4;/7=18?/7=/7=/7=/7=29@5/7=18>29@4;A29?.6<+3;+3;*29)18+3;18?4;A3;@3;@3;@5/7=.6<-518>18?29@3;@18?-5<+29,4;/7=18?/7=/7=/7=/7=29@5/7=18>29@4;A29?.6<+3;+3;*29)18+3;18?4;A3;@3;@3;@5/7=.6<-518>18?29@3;@18?-5<+29,4;/7=18?/7=/7=/7=/7=29@529@4;A+3;+3;+3;3;@3;@9@F7=C29@18>/7=/7=.6<Ȥɥɥ@/7=.6/7=/7=18?29@29@ȪȪȪȪ18>5D518?4;A5D29@18>/7=-5<,4;.6<18>18?18?29?29@18>,4;*29-5<18?3;@29?18>/7=/7=29?4;A29?-5<+29+3;.618>29?529?3;@3;@18>,4;+29-5<3;@8?D7>D529@4;A29?/7=,4;+3;*29)18+3;18?4;A4;A3;@3;@5D29@18>/7=-5<,4;.6<18>18?18?29?29@18>,4;*29-5<18?3;@29?18>/7=/7=29?4;A29?-5<+29+3;.618>29?529?3;@3;@18>,4;+29-5<3;@8?D7>D529@4;A29?/7=,4;+3;*29)18+3;18?4;A4;A3;@3;@5D29@18>/7=-5<,4;.6<18>18?18?29?29@18>,4;*29-5<18?3;@29?18>/7=/7=29?4;A29?-5<+29+3;.629?18>-5<3;@5D29@18>/7=.6<-5D5/7=/7=/7=18?4;A5D3;@18?/7=-5<+3;-5<18>18?29?29@29@/7=+29)18+3;18?5/7=/7=/7=/7=18?29@29@3;@529?5D518?4;A5D29@18>/7=-5<+3;-5<18>18?29?29@29@/7=+29)18+3;18?5/7=/7=/7=/7=18?29@29@3;@529?5D518?4;A5D29@18>/7=-5<+3;-5<18>18?29?29@29@/7=+29)18+3;18?57>D/7=29?4;A.6<3;@7=C18?29?18?29@/7=+3;*294;A3;@;@F18>/7=-5<,4;.6<18>Ȥɥɥ@/7=29?4;A29?18?*29'/7)18,4;/7=3;@53;@ȪȪ.6/7=18>5.6<-5<+3;.6<29@529?29@4;A4;A/7=*29'/7*29/7=29@4;A53;@;@F@FK;@F29?-5<.63;@5.6D8?D6=C29@18?29@6=C8?D5D5/7=/7=/7=/7=18?4;A5D3;@18?/7=-5<+3;-5<18>29?29@4;A4;A/7=*29'/7*29/7=29@4;A53;@;@F@FK;@F29?-5<.63;@5.6D8?D6=C29@18?29@6=C8?D5D5/7=/7=/7=/7=18?4;A5D3;@18?/7=-5<+3;-5<18>29?29@4;A4;A/7=*29'/7*29/7=29@4;A53;@;@F@FK;@F29?-5<.6<18>4;A18>/7=/7=8?D6=C 8?D5D/7=-5<+3;-5<18>18?Ȥɥɥ@29?3;@18?-5<+29(07)18,4;/7=/7=29@3;@4;A5DIȪ.63;@53;@55D29@/7=/7=-5<-5<18>3;@29@18>/7=.6<-5<.6<3;@6=C6=C6=C53;@;@F?EJ;@F29?.6<.63;@5D4;A29?29@6=C8?D5/7=18>5.6<-5<,4;+3;.6<29@53;@;@F?EJ;@F29?.6<.63;@5D4;A29?29@6=C8?D5/7=18>5.6<-5<,4;+3;.6<29@53;@;@F?EJ;@F29?.6<.6D4;A29?29@6=C8?D5/7=18>5.6<-5<,4;+3;.6<29@529?29@Ȥɥɥ@3;@18?,4;+29(07)18,4;/7=/7=18>18?18?29@/7=-53;@53;@5D5D3;@18?18>ȪȪ/7=18?18>/7=.6DI9@F29?.63;@53;@55D29@/7=/7=-5<,4;-5<18>3;@29@18>/7=.6<-5<,4;.6<3;@6=C6=C6=C5DI9@F29?.63;@53;@55D29@/7=/7=-5<,4;-5<18>3;@29@18>/7=.6<-5<,4;.6<3;@6=C6=C6=C5DI9@F29?.6 /7=.63;@553;@29@18>/7=.6<-5<,4;.6<3;@6=C6=C6=C518>18?5D6=C7>D;AGD5/7=/7=18?/7=-5<,4;-5<-5<-5DIAFKD9?E29@+3;(07)18,4;/7=/7=18>18?18?18?29@29?/7=-518?3;@53;@5D5D3;@18?18>/7=-5<-5/7=.6D9?E29@+3;(07)18,4;/7=/7=18>18?18?18?29@29?/7=-518?3;@53;@5D5D3;@18?18>/7=-5<-5/7=.6D9?E29@+3;(07)18,4;/7=/7=18>18?18?18?29@29?/7=-518?3;@53;@5D5D3;@18?18>/7=-5<-5/7=.629?29@18>.6<-5<-5<,4;,4;/7=29@518?29?3;@4;A29@/7=.6<.6<.6<.6DDI8?D18>,4;/7=4;A6=C29@,4;*29-5<29@6=C4;A18>/7=/7=18>18>18?29@3;@18?.6<,4;,4;,4;,4;/7=3;@6=C6=C6=C6=C9?E>DICHM>DI7=C4;A18?-5<+29-5<29?518>18?3;@5D6=C7>D;AGD5/7=/7=18>18?/7=-5<,4;-5<-5<-5DIAFK18>18?3;@5D6=C7>D;AGD5/7=/7=18>18?/7=-5<,4;-5<-5<-5DIAFK18>18?3;@5D6=C7>D;AGD5/7=/7=18>18?/7=-5<,4;-5<-5<-5DIAFKD9?E29@+3;(07)18,4;/7=/7=18>18?18?18?29@29?/7=-518?29@3;@29?/7=-5<,4;+3;+29-5<18?4;A7=C;@F=CI9?E29@/7=/7=18?29?29?3;@4;A29@/7=.6<.6<.6<.6D29@,4;)18,4;29?6=C3;@/7=-5<.6.6<-5<,4;,4;.6<29@5D29?29@18>.6<-5<-5<,4;,4;/7=29@518?29?3;@4;A29@/7=.6<.6<.6<.6DDI8?D18>,4;/7=4;A6=C29@,4;*29-5<29@6=C4;A18>/7=/7=18>18>18?29@3;@18?.6<,4;,4;,4;,4;/7=3;@6=C6=C6=C6=C9?E>DICHM>DI7=C4;A18?-5<+29-5<29?529?29@18>.6<-5<-5<,4;,4;/7=29@518?29?3;@4;A29@/7=.6<.6<.6<.6DDI8?D18>,4;/7=4;A6=C29@,4;*29-5<29@6=C4;A18>/7=/7=18>18>18?29@3;@18?.6<,4;,4;,4;,4;/7=3;@6=C6=C6=C6=C9?E>DICHM>DI7=C4;A18?-5<+29-5<29?529?29@18>.6<-5<-5<,4;,4;/7=29@518?29?3;@4;A29@/7=.6<.6<.6<.6DDI8?D18>,4;/7=4;A6=C29@,4;*29-5<29@6=C4;A18>/7=/7=18>18>18?29@3;@18?.6<,4;,4;,4;,4;/7=3;@6=C6=C6=C6=C9?E>DICHM>DI7=C4;A18?-5<+29-5<29?518?29?29@29@3;@4;A29@18>/7=/7=/7=/7=/7=18?29?4;A7>D9@F9?E6=C5D18>-5<18>6=C9@F4;A,4;)18+3;29?5/7=.6<-5<.6<29?5DI18?29@3;@29?/7=-5<,4;+3;+29-5<18?4;A7=C;@F=CI9?E29@/7=/7=18?29?29?3;@4;A29@/7=.6<.6<.6<.6D29@,4;)18,4;29?6=C3;@/7=-5<.6.6<-5<,4;,4;.6<29@5D18?29@3;@29?/7=-5<,4;+3;+29-5<18?4;A7=C;@F=CI9?E29@/7=/7=18?29?29?3;@4;A29@/7=.6<.6<.6<.6D29@,4;)18,4;29?6=C3;@/7=-5<.6.6<-5<,4;,4;.6<29@5D18?29@3;@29?/7=-5<,4;+3;+29-5<18?4;A7=C;@F=CI9?E29@/7=/7=18?29?29?3;@4;A29@/7=.6<.6<.6<.6D29@,4;)18,4;29?6=C3;@/7=-5<.6.6<-5<,4;,4;.6<29@5D29?29@18>.6<-5<-5<,4;,4;/7=29@529?3;@6=C9?E7>D3;@18?29?3;@3;@3;@3;@4;A29@18?/7=/7=/7=/7=/7=18>29?3;@7>D9@F8?D6=C53;@3;@29@29?29?18?/7=/7=29?4;A5/7=/7=3;@529?29@4;A518?29?29@29@3;@4;A29@18>/7=/7=/7=/7=/7=18?29?4;A7>D9@F9?E6=C5D18>-5<18>6=C9@F4;A,4;)18+3;29?5/7=.6<-5<.6<29?5DI29?29@4;A518?29?29@29@3;@4;A29@18>/7=/7=/7=/7=/7=18?29?4;A7>D9@F9?E6=C5D18>-5<18>6=C9@F4;A,4;)18+3;29?5/7=.6<-5<.6<29?5DI29?29@4;A518?29?29@29@3;@4;A29@18>/7=/7=/7=/7=/7=18?29?4;A7>D9@F9?E6=C5D18>-5<18>6=C9@F4;A,4;)18+3;29?5/7=.6<-5<.6<29?5DI18?29@3;@29?/7=-5<,4;+3;+29-5<18?4;A7=C;@F=CIȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȶȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪȪ/&;)z4 p |CONTEXT6|CTXOMAP|FONTl|KWBTREE|KWDATA|KWMAP|SYSTEM|TOPIC|TTLBTREE|bm0|bm1|bm29**lp0U D( (  $ (C $$($O 29@29@3;@5-5<+3;,4;-5<-5<18>529@6=C8?D9?E9@F9?E53;@5-5<+3;,4;-5<-5<18>529@6=C8?D9?E9@F9?E53;@5-5<+3;,4;-5<-5<18>529@6=C8?D9?E9@F9?E53;@5Hp2:KB\9BWfwvM 3 *w>U] >"%J&\(1*,.P02C468:<>@$BDEGJ>LMOQTUWY+[]_aceg9ikmAoq.stwsyW{v|~(+oBd}|u).6O3.@ '\4&3;]90(245XW D Kur !#%')/+W-/u13579;G=?b@C#EGHJNMOPRTW0X&Z\^`bdfhj}lnprsuwx{}Eg^ Gh4'B*s 8  S+F " R 6l"$%"') +-N/13&579;=4?AXC D?G7IsKLN!QSTVX[\^`bQdkfhjl;npirytvx8z{)~[3Bl2-].;3.p4O+E@'XUk$s; yc^X8s4GUcL2nH|{HvV a7(!"$')R*,.)1^22468:@BvDFHILNTPQ2SzVXY[]`acegikMm;o q\s0uCw!y?{}I(2v0j6qF(!F;}b<>ky@d8 Qd1p5u5XM 7dq0 p V!#~$=&(+,.0<2l468:<>@BDFHJKNP.RSUXZ[]_sbd&egikmoqsuwy{}[=yEN5*,bqqX./I/xSL ?${(ViBBIbi){}c  is !u$)&()+-~01l3}579;=s?NAXCEG IK%MOPSUWXZ]K_`bd*ghjln%p8rAtvxz|~F -t<Lf 2&w0,<%Ujs9&P]\YNX@Wd%^lt:  1 lD c!#%&O)a+-.03568:=> @BDFHJLNPbRTUXZ\]$_bdegil moqrsuwy{}Q!Z$.D ]7)g[?++P&N(Pr( -NgDQkuu.LPGoIx7h{n7W n ; i~@-D 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!#%&)+-.03568:=>@BDFHJLNPRTUXZ\]_bdegilmoqsuwy{}      !"$$&'()+,-.002345789:<=>?ABCDEGHIJLMNOQRSUVWX Z [ \]_`bbdegh i#j%l'm(n*p-q/r0s2u4v7x8y:z<{>}@~BDFHJLNPRTVXZ\^`adfhikmpqsuwy{}      !#$& (")$+%-(.*0,2-3/52748597<9=<?=A?BADCFEHGIIKKMMNOPQRSSUUWWYY[Z\\_^a`caddfeigkilknlpnsptrvsxuzw|y~z|~       " $"&$(&*),+.-0/124466889:;=>?@AADCFEHGJILKNMQOSQUSXUZW]Y_[a]c_f`hcjelgohqjsmvoxp{r}twxz|~  !$'*-/258;>AC F I LORUWZ]acf!i#l%o'r)u+x,{/~13469;<>@CDFHJ3- %,,m,L,pTimes New Roman*wgwa -.  ǀ2 whitehP(0?pTimes New Roman*wgw  -.  3ǀ 2 pinkP(PPpTimes New Roman*wgwa -.  ǀ 2 NuserP8@@ &&TNPP &---'----'-mx &&TNPP &--l!]'6:Algorithmix De-noiser PlugIn)Copyright (C) 1996-1997 Algorithmix GmbHBrowseButtons()Zmain  ̡<< 9E1H9ETContentsf/ 7 >^HContentsAlgorithmix De-Noiser PlugIn)E& HHsW ~HDMڀ߭R~OverviewParametersNoise Profile Application Tips)& H;s3 6BւH" qDH- *BւH Fig.1: Screenshot of the De-Noiser PlugIn window.,t) "Hd;H) "vH Copyright 2000 Algorithmix GmbH. All rights reserved.T.t,& \H Help file last modified: December 12, 2000.(T% H 9,1| 4@Overviewj0T: D`HOverviewAlgorithmix De-Noiser PlugIn|K dH The De-Noiser PlugIn belongs to the family of so-called single-ended noise reduction systems. This means it does not need any special coding procedure before recording, like in the famous tape noise reduction system from DOLBY Lab. It is a tool that efficiently removes any kind of broad-band noise from pre-recorded audio tracks. The Algorithmix De-Noiser PlugIn is a weapon against tape hiss, noise from telephone-call cuts, background noise from live recordings, and residual noise from old records after processing with the De-Scratcher PlugIn. The De-Noiser PlugIn is very useful in forensic applications, as well.F Q pH   R In a single-ended noise reduction systems, the user decide which noise characteristic have to be applied for the de-noising process. In the De-Noiser PlugIn, there are two predefined noise profiles: white and highcut. In addition, to get the highest performance out of the system, the user has the opportunity to record his own Noise Profile . When recording an application specific noise profile, we highly recommend recording it from a portion containing the background noise only. ' HSince the entire process runs in real time, you can simply switch between the three noise profiles while listening to the output signal. This helps you discover which noise profile is best suited to the audio material being processed. 3 4iH The noise reduction process in the De-Noiser PlugIn is controlled by just three parameters, allowing an easy search for optimal results depending on the given input signal.  3 4H  The frequency spectrum of the input signal (green), output signal (red) as well as of the noise profile (white) applied to processed audio material can be followed in the Analyzer window (Fig. 2).B ? 0 0&BւH" h 3 6RǀH Fig.2: Analyzer window displaying spectrum of the input signal, output signal, and noise profile.a? ` H         Using the Analyzer you can easily follow the effect of the de-noising process on the processed material. The noise profile (white) marks the threshold border, above which no noise reduction is applied. The threshold parameter moves this noise profile up and down and can be used to set up the profile just above the background noise level. For a given threshold, the second parameter, called reduction, controls the amplitude of the spectral components below the chosen noise profile. The parameter attack and release reduce artifacts, especially if applying uneven user noise profiles. , ) "Hd;7@) "vH Copyright 2007@T0 Algorithmix GmbH. All rights reserved.T.@& \H Help file last modified: December 12, 2000.(7@@% H )@@& H: @A1 9UAJParameterl2@A: DdHParametersAlgorithmix De-Noiser PlugIn ACK dH      Only two parameter control the main De-Noiser performance: threshold and reduction. While threshold controls the level below which noise reduction is applied, reduction decides the amount of removed noise in this region. Additional four parameter (attack, release, shelving-frequency and shelving-gain) give full control over the type of noise to be removed and allow to minimize the risk of artifacts occuring at higher noise levels. AGc 9H          The first two parameters can be very intuitively adjusted using the Analyzer window. The noise profile can be adjusted up or down by changing the threshold parameter. A good starting value for threshold is to set the noise profile just above the background noise level (approx. 10 dB). A subsequent increase of the reduction parameter should significantly reduce the background noise. If noticeable artifacts in the form of so-called singing or robot-like sounds appear (time-aliasing phenomenon), decreasing the reduction parameter and increasing the threshold level (up to about 30 dB above the background noise) usually helps. The artifacts can also be reduced significantly by increasing the attack and release times. For the best performance, these times should still be set to the smallest values with no audible artifacts occuring since too high values can touch details of the original signal.s%CJN jKH     Additional features implemented in the DeNoiser PlugIn are the buttons on and difference. The on button allows to bypass the PlugIn or to switch between unprocessed and processed signal. The unique difference feature is a great help for the proper adjustment of the parameters. It allows to switch between the original input signal and the input/output difference, i.e., the portion of signal removed by the de-noising algorithm. This differential signal normally should not contain parts of the original signal you want to preserve.,G-J) "Hd;JJ) "vH Copyright 2000 Algorithmix GmbH. All rights reserved.T.-JJ& \H Help file last modified: December 12, 2000.> J#K14p#KNoise profilem4JK9 BhHNoise ProfileAlgorithmix De-Noiser PlugIn#KMK dwH      The noise profile should ideally represent the frequency distribution of the noise to be removed from the noisy input signal. It is a kind of reference spectral horizon used by the de-noising algorithm. The position of the noise profile relative to the input signal can be controlled with the threshold parameter. The Analyzer window provides an intuitive visual control of both the input signal spectrum and the noise profile. KzN9 @WH߭ As pointed out in the Parameters section, at the beginning, the noise profile should be set to approx. 10 dB above the background noise level of the input signal._M3N jH      At the bottom of the De-Noiser PlugIn window, you can find two pre-defined noise profiles: white and highcut. While white noise has a flat frequency distribution over the linear frequency scale, the amplitude of the pink profile lowers towards high frequencies. Fig. 3 shows these two standard noisezN3J profiles and a user noise profile.[zNӁE XH     In addition, two parameter control a high-shelving filter applied to the profile: frequency and gain. This allows to fine-tune a given profile to the requirements of the signal. A high-shelv setting above 0dB removes more noise above the frequency set. A typical setting for tape dehissing would be frequency = 2.5 kHz and gain = +12.)3& H8Ӂ43 6 BւH"uH- *BւH  Fig. 3: Frequency spectrum of different noise profiles.)4҂& H? LH    Applying user-defined noise profiles taken properly from the audio material to be processed, the quality of the entire de-noising process can be considerably enhanced. It is important that the noise profile should be taken from a part of audio material containing nothing but the noise signal to be removed. This can be done by clicking the User button during you hear a noise-only part. Approximately one second of the signal are then recorded and analyzed.҂- (WH If the noise-only part of a recording is very short (below 1 second), it is recommended you set up a loop for repetitive playback before recording a noise profile. zm3 4H  As already pointed out, the loop should contain nothing but noise (or whatever has to be removed from the input signal). If a noise profile includes spectral components of the signal to be recovered, they will also be removed or at least lowered in the de-noising process. Therefore, much care and sensitivity is recommended when preparing a user-specific noise profile. {U& HAt this time, user noise profiles are available in real-time processing mode only.,m) "He<y) "xH Copyright 2000 Algorithmix GmbH. All rights reserved. T.͈& \H Help file last modified: December 12, 2000.*y' H A͈81|U8Application Tipsp79 BnHApplication TipsAlgorithmix De-Noiser PlugInR%8- (KHThe De-Noiser PlugIn is an easy-to-use audio cleaning tool based on efficient signal processing algorithms. In most cases, you will automatically achieve good results. To maximize results, especially when working with heavily noise-polluted audio material, there are some practical rules:k&eE XMR(H For the best results, record your own noise profile for every specific piece you de-noise. Choose a portion of the recording that does not contain any material you want to recover, only noise you intend to remove. If the audio piece to be processed contains more only-noise parts, try to record a few noise profiles and test them to determine the one that works best.If the part containing only the noise signal is very short (under 1 second), we recommend setting up a loop for repetitive playback before recording a noise profile.Q K dR(H   If you cannot find in your entire recording any noise-only piece, use pre-defined profiles or try to record a user noise profile from a low-level part (hopefully with pauses in the useful signal). Finally, look for the careful adjustment of the parameters threshold, reduction and attack / release.Very strong changing noise level and noise characteristic may be problematic. In such cases professional mastering engineers try to cut the original piece in parts and treat them individually with different de-noising parameters. Later the de-noised pieces are joined together.e eR r+R(H     Do not exaggerate the parameters threshold and reduction to avoid artifacts in the form of singing or robot-like sounds (time aliasing). Begin with a moderate adjustment by setting the noise profile to just above the background noise level (approx. 10 dB) and gradually increasing the reduction parameter. Finally try to recursively find the best relation between these two parameters. } ] R(H     Find the proper amount of the parameter attack / release after you have found the best balance between threshold and reduction parameters. Attack / release further allows you to reduce singing-like artifacts. Too high values of attack / release, however, can influence important details in the original signal.If you are working on heavily disturbed material, find a good acoustical compromise between the level of remaining noise and artifacts introduced to the output signal. Be indulgent if you have hopelessly noisy material. Nobody can restore the original signal without having enough original information.g5t R(H     It helps sometimes to apply the de-noising process two or more times consecutively with a moderate parameter setting rather than one pass with an extreme setup.A recommended tool that significantly helps to adjust the De-Noiser parameter is the Analyzer window. It allows for following the de-noising process, especially the influence of the noise profile and parameters For the best results use your own ears in connection with the difference feature of the DeNoiser PlugIn. Switch between the original input signal and the input/output difference, i.e., the portion of signal removed by the de-noising algorithm. This difference signal normally should not contain any parts of the original signal you want to preserve.)^& H95% (HImportant Remark:(^% H^I, &H The De-Noiser PlugIn is a very fast and very effective tool. You will be amazed at how dramatic the audio quality of noisy recordings can be improved. But please do not expect miracles if you process material containing so much noise that the original signal is no longer distinguishable. The information theory says that once the information is sunk in noise (very bad signal-to-noise ratio) and there is not enough information about the properties of the original signal, or even worse, the original signal is non-linearly distorted, the de-noising process can deliver only limited-quality results. ,u) "Hd;I) "vH Copyright 2000 Algorithmix GmbH. All rights reserved.T.u-& \H Help file last modified: December 12, 2000.)V& H )-& H1V17. hTimes New RomanCourier NewSymbolHelvTimes New Roman CETimes New Roman CyrTimes New Roman GreekTimes New Roman TurTimes New Roman (Hebrew)Times New Roman (Arabic)Times New Roman Baltic$( ( pU94/&;)F24Application TipsNoise profileOverviewParameter /&;)LzContents9Overview4ParameterUNoise profilepApplication Tips/&;)L4߭4RUDM9~p 1h