Generates Fibonacci pseudonoise (PN) bit sequences. The node repeats the selected pattern until it generates the number of total bits that you specify. Use this node to specify the primitive polynomial that determines the connection structure of the linear feedback shift register (LFSR).
Total number of pseudorandom bits to be generated.
Default: 128
The primitive polynomial for the PN bit sequence to be generated. The degree of the primitive polynomial determines the PN order.
The primitive polynomial is specified by an 8-bit signed integer array. If the degree of the primitive polynomial is N, for example, p(x) =a0 + a1x + a2x ^{ 2 } +……+ a N a ^{ N }, the array contains (N + 1) elements. The first element is a0, and the last element is aN. Ensure that the polynomial you provide is a primitive polynomial. For example, if the primitive polynomial is p(x) = 1 + x ^{ 14 } + x ^{ 15 }, then N = 15, and the array contains N + 1=16 elements.
Initial state of the PN generator shift register.
Default: 169
Error conditions that occur before this node runs.
The node responds to this input according to standard error behavior.
Standard Error Behavior
Many nodes provide an error in input and an error out output so that the node can respond to and communicate errors that occur while code is running. The value of error in specifies whether an error occurred before the node runs. Most nodes respond to values of error in in a standard, predictable way.
Default: No error
The generated pseudorandom data bits.
A seed for use in the seed in parameter during the next call to this node when reset? is set to FALSE.
Error information.
The node produces this output according to standard error behavior.
Standard Error Behavior
Many nodes provide an error in input and an error out output so that the node can respond to and communicate errors that occur while code is running. The value of error in specifies whether an error occurred before the node runs. Most nodes respond to values of error in in a standard, predictable way.
Though deterministic in nature, seudorandom or pseudonoise (PN) sequences satisfy many properties of random numbers, such as autocorrelation, crosscorrelation, and so on. PN sequences are used in many applications and standards such as 802.11a and DVB. Some examples of PN sequences are maximal length shift register sequences, or m-sequences, Gold sequences, and Kasami sequences. An m-sequence generates a periodic sequence of length $L={2}^{m}-1$ bits and is generated by linear feedback shift registers (LFSRs). Two well known implementations of m-sequences are the Fibonacci implementation and the Galois implementation.
The preceding figure shows the Fibonacci and Galois implementations of m-sequences. As can be seen in these figures, m-sequences contain m shift registers. The shift register set is filled with an m-bit initial seed that can be any value except 0. If the m bits in the m shift registers are all zero, then it is a degenerate case and the output of the generator is 0.
The following examples demonstrate bit generation:
Primitive polynomial: $1+{X}^{14}+{X}^{15}$
Initial seed: 000000010101001
The following figure shows the circuitry:
Seed | Output |
---|---|
000000010101001 | 0+0=0 |
000000101010010 | 0+0=0 |
000001010100100 | 0+0=0 |
000010101001000 | 0+0=0 |
000101010010000 | 0+0=0 |
001010100100000 | 0+0=0 |
010101001000000 | 0+1=1 |
101010010000001 | 1+0=1 |
Primitive polynomial: $1+{X}^{14}+{X}^{15}$
Initial seed: 000000010101001
The circuitry is shown in the following figure:
Seed | Output |
---|---|
000000010101001 | 0 |
000000101010010 | 0 |
000001010100100 | 0 |
000010101001000 | 0 |
000101010010000 | 0 |
001010100100000 | 0 |
010101001000000 | 0 |
101010010000000 | 1 |
110100100000001 | 1 |
001001000000011 | 0 |
010010000000110 | 0 |
100100000001100 | 1 |
101000000011001 | 1 |
110000000110011 | 1 |
000000001100111 | 0 |
000000011001110 | 0 |
Where This Node Can Run:
Desktop OS: Windows
FPGA: Not supported
Web Server: Not supported in VIs that run in a web application