1. First steps in Reaktor Core - Native Instruments

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delays can go unnoticed. For example, we can take our previous structure with the Thru macro and disable the Solid setting (make sure you are editing the Solid setting for the right macro, you can see it by the Thru text in the label field of the properties): 96 – REAKTOR CORE Make sure you’re editing the right macro Disable the Solid setting Now your outside structure probably still looks the same (we say probably because you never can be sure where exactly the automatic feedback resolution will happen): But if you change your structure a little, connecting the output to another module, it could look like this: Our feedback resolution delay seems gone. So in a larger and more complicated structure we could easily miss the fact that there’s an implicit delay. Where’s this delay gone? Of course, it’s now inside the Thru macro—the only place
left which we cannot see from the outside: Another reason for keeping the Solid property on is that with it off, in some cases the macro’s internal operation could change once it’s put in the feedback path. So please do yourself a favor and turn the property off only if you build macros which are meant to resolve feedback. There won’t be many. Now let’s return to the Z^-1 module. Because the Solid property is turned off for this macro, the boundary of this macro is completely transparent for feedback resolution. Thus the Z^-1 macro is not really treated as a built-in module and is capable of resolving feedback in the way described earlier in this text. 5.5. Denormal values The signal values in the structures that we have been building in the previous sections are represented inside the computer by a binary data type called floating point numbers or floats for short. Floats are an efficient representation for a wide range of values. The term floating point numbers does not exactly specify how the numbers are represented. It just describes the approach taken to represent them, still leaving lots of freedom for implementation details. The CPUs of today’s personal computer use the IEEE floating point standard. This standard defines exactly how the floating point numbers should be represented and what should be the results of operations on them (for example, how to handle limited precision issues, and so on.) In particular, this standard says that, for a group of particularly small floating point values, which because of limited floating point precision cannot be represented in the normal way, a special representation form is to be used. This other form is called “denormal” representation. Denormal representation for 32 bit float values is used roughly in the range from 10 -38 to 10 -45 and from -10 -38 to -10 -45 . Values less than 10 -45 in absolute magnitude cannot be represented at all and are considered to be zero. Because their representation is somewhat different from that of normal numbers, some CPUs have certain problems with handling these numbers. In particular, operations on these numbers can be performed much much more slowly (as much as 10 times or more) on some processors. REAKTOR CORE – 97
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REAKTOR CORE Tutorial
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Table of Contents 1. First steps in
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Appendix D. Core cell ports .......
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H.7. Audio Mix-Amp > Gain (dB) ....
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H.88. Logic > GT / IGT ............
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1. First steps in Reaktor Core 1.1.
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You may also want to save core cell
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1.3. Using core cells in a real exa
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1.4. Basic editing of core cells No
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You can shrink them back by right-c
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or design of the module. Generally,
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And here is an example of an event
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converter. As a result, our control
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The VCF section could be promising,
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There’s only one kind of module y
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As the name implies (and the info t
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Now you can type some text into the
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Instead of a nasty looking diagonal
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Some types of processing, mixing fo
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mix it with the delayed signal. Bec
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0.02ms at 44.1kHz, even less at hig
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The Latch and Bool C types of ports
Page 45 and 46: In the value field type a new value
Page 47 and 48: modules in the same way we did earl
Page 49 and 50: 2.5. Using audio as control signal
Page 51 and 52: some primary-level event signals us
Page 53 and 54: is always at full amplitude. At 1 t
Page 55 and 56: The Gate2L, AND, and L2Gate modules
Page 57 and 58: Here is a picture of a continuous s
Page 59 and 60: 3.3. Simultaneous events Consider t
Page 61 and 62: 3.4. Processing order As you have s
Page 63 and 64: Event Inputs send core events to th
Page 65 and 66: Of course, in this particular case
Page 67 and 68: Now move the knob and watch the out
Page 69 and 70: 4.2. Object Bus Connections Object
Page 71 and 72: As mentioned, the above structure i
Page 73 and 74: constants would send their values a
Page 75 and 76: 4.4. Building an event accumulator
Page 77 and 78: � ��
Page 79 and 80: Now the reset works as specified. T
Page 81 and 82: output values. Let’s try that wit
Page 83 and 84: Should any files be found in this C
Page 85 and 86: The name “Modulation”, although
Page 87 and 88: 5. Audio processing at its core 5.1
Page 89 and 90: 5.2. Sampling rate clock bus A coup
Page 91 and 92: We have already seen a structure bu
Page 93 and 94: connections will be marked as inval
Page 95: As you can see, the clock input of
Page 99 and 100: samples, we have to produce several
Page 101 and 102: 5.6. Other bad numbers Denormal num
Page 103 and 104: 6.28319 is 2*π, which is then divi
Page 105 and 106: 6. Conditional processing 6.1. Even
Page 107 and 108: In this version, the 0 output of th
Page 109 and 110: First we are going to build the cir
Page 111 and 112: default means use whatever precisio
Page 113 and 114: Switching between float and integer
Page 115 and 116: The output and all built-in modules
Page 117 and 118: The OBC chain at the bottom keeps t
Page 119 and 120: The speed of the number change in t
Page 121 and 122: And now the connection: The upper i
Page 123 and 124: This macro internally has an Index
Page 125 and 126: The four Write [] modules will take
Page 127 and 128: In general, you should also take ca
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Page 131 and 132: The size property of the array can
Page 133 and 134: So we include another macro for wra
Page 135 and 136: A new dialog will appear: What you
Page 137 and 138: Formal output precision Now that we
Page 139 and 140: 9. Building optimal structures As a
Page 141 and 142: 9.3. Numerical operations Floating
Page 143 and 144: Appendix A. Reaktor Core user inter
Page 145 and 146: Appendix B. Reaktor Core concept B.
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Appendix C. Core macro ports C.1. I
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Appendix D. Core cell ports D.1. In
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F.3. Math > - Produces the differen
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F.12. Bit > Bit OR Performs the bit
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that the module on the picture abov
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connected to the sidechain input. T
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Appendix G. Expert macros G.1. Clip
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G.12. Math > sqrt Square root appro
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G.24. Memory > Read [] Reads a valu
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Appendix H. Standard macros H.1. Au
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H.8. Audio Mix-Amp > Invert Inverts
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H.15. Audio Mix-Amp > XFade (lin) A
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H.22. Audio Shaper > Sine Shaper 4
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H.30. Control > Ctl Pan “Pans”
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H.38. Convert > ms2sec Converts the
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to positive. The allowed RM values
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H.53. EQ > Static Filter > 1-pole s
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H.62. EQ > Static Filter > 2-pole s
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H.70. Event Processing > Ctl2Gate C
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H.79. LFO > Random LFO Generates a
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H.88. Logic > GT / IGT Compares the
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Generates 4 phase-locked audio wave
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H.105. Oscillators > Quad Osc Gener
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H.112. VCF > Diode Ladder Diode-lad
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I.4. Audio Shaper > Parabol Sat Sim
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I.10. Control > Par Ctl Shaper Appl
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I.17. EQ > HighShelf EQ 1-pole high
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I.25. EQ > Static Filter > 2-pole s
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I.33. Oscillator > 4-Wave Mst Gener
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I.39. Oscillator > MultiWave Osc Ge
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I.44. VCF > 2 Pole SV x3 S 2-pole s
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Index A Array module ..............
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