comm.PNSequence
Generate a pseudonoise (PN) sequence
Description
The comm.PNSequence
System object™ generates a sequence of pseudorandom binary numbers using a linearfeedback
shift register (LFSR). This object implements LFSR using a simple shift register generator
(SSRG, or Fibonacci) configuration. Pseudonoise sequences are typically used for pseudorandom
scrambling and in directsequence spreadspectrum systems.
To generate a PN sequence:
Create the
comm.PNSequence
object and set its properties.Call the object with arguments, as if it were a function.
To learn more about how System objects work, see What Are System Objects?
Creation
Description
creates a
pseudonoise (PN) sequence generator System object. This object generates a sequence of pseudorandom binary numbers using a
linearfeedback shift register (LFSR).pnSequence
= comm.PNSequence
sets properties using one or more namevalue pairs. Enclose each property name in quotes.
For example, pnSequence
= comm.PNSequence(Name,Value)'Mask'
,1
specifies a one sample offset
of the output sequence from the starting point.
Properties
Unless otherwise indicated, properties are nontunable, which means you cannot change their
values after calling the object. Objects lock when you call them, and the
release
function unlocks them.
If a property is tunable, you can change its value at any time.
For more information on changing property values, see System Design in MATLAB Using System Objects.
Polynomial
— Generator polynomial
'z^6 + z + 1'
(default)  character vector  string scalar  binary row vector  integer vector
Generator polynomial that determines the feedback connections of the shift register, specified as one of these options:
Character vector or string scalar of a polynomial whose constant term is
1
. For more information, see Representation of Polynomials in Communications Toolbox.Binaryvalued row vector that represents the coefficients of the polynomial in order of descending powers. The length of this vector must be N + 1, where N is the degree of the polynomial. The first and last entries must be
1
, indicating the leading term with degree N and a constant term of 1.Integervalued row vector of elements that represent the exponents for the nonzero terms of the polynomial in order of descending powers. The last entry must be
0
, indicating a constant term of 1.
For more information, see Simple Shift Register Generator.
Example: 'z^8 + z^2 + 1'
, [1 0 0 0 0 0 1 0 1]
,
and [8 2 0]
represent the same polynomial, p(z) =
z^{8} +
z^{2} + 1.
Data Types: double
 char
InitialConditionsSource
— Source of initial conditions
'Property'
(default)  'Input port'
Source of the initial conditions used for the shift register of the PN sequence, specified as one of these values:
'Property'
— Specify PN sequence generator initial conditions by using theInitialConditions
property.'Input port'
— Specify PN sequence generator initial conditions by using theinitcond
input argument.
Data Types: char
InitialConditions
— Initial conditions of shift register
[0 0 0 0 0 1]
(default)  binary scalar  binary vector
Initial conditions used for the shift register of the PN sequence generator when the simulation starts, specified as a binaryvalued scalar or binaryvalued vector.
If you set this property to a scalar, the initial value of all cells in the shift register are the specified scalar value.
If you set this property to a vector, each element of the vector corresponds to the initial value of the corresponding cell in the shift register. The length of the vector must equal the degree of the generator polynomial specified by the
Polynomial
property.
For more information, see Simple Shift Register Generator.
Note
For the object to generate a nonzero sequence, at least one element of the initial conditions for the first or second preferred PN sequence generator must be nonzero. Specifically, the initial state of at least one of the shift registers must be nonzero.
Dependencies
To enable this property, set InitialConditionsSource
to 'Property'
.
Data Types: double
MaskSource
— Source of mask to shift PN sequence
'Property'
(default)  'Input port'
Source of the mask that determines the shift of the PN sequence, specified as one of these:
'Property'
— Specify the mask by using theMask
property.'Input port'
— Specify the mask by using themaskvec
input argument.
Data Types: char
Mask
— Mask to shift PN sequence
0
(default)  integer scalar  binary vector
Mask that determines how the PN sequence is shifted from its starting point, specified as an integer scalar or a binary vector.
When you set this property to an integer scalar, the value is the length of the shift. The object wraps shift values that are negative or greater than the length of the PN sequence.
When you set this property to a binary vector, its length must equal the degree of the generator polynomial specified by the
Polynomial
property.
For more information, see Shifting PN Sequence Starting Point. The mask vector can
be calculated using the shift2mask
function.
Dependencies
To enable this property, set MaskSource
to
'Property'
.
VariableSizeOutput
— Enable variablesize outputs
false
(default)  true
Enable variablesize outputs, specified as a numeric or logical 0
(false
) or 1
(true
). To
enable variablesize outputs by using the outputsize
input argument, set this property to true
.The enabled input specifies
the output size of the PN sequence. The input value must be less than or equal to the
value of the MaximumOutputSize
property.
When you set this property to false
, the SamplesPerFrame
property specifies the number of output samples.
MaximumOutputSize
— Maximum output size
[10 1]
(default)  vector of the form [m 1]
Maximum output frame size, specified as a vector of the form [m
1], where m is a positive integer. The first element of the vector
indicates the maximum length of the output frame and the second element of the vector
must be 1
.
Example: [20 1]
specifies a maximum frame output size of
20
by1
.
Dependencies
To enable this property, set VariableSizeOutput
to true
.
SamplesPerFrame
— Number of samples output per frame
1
(default)  positive integer
Number of samples output per frame, specified as a positive integer. If you set this
property to a value of M, then the object outputs
M samples of a PN sequence that has a period of N = 2^{n} –
1, where n represents the degree of the generator
polynomial that the Polynomial
specifies.
If you set the BitPackedOutput
property to false
, the samples are bits
from the PN sequence. If you set the BitPackedOutput
property to true
, then the output
corresponds to SamplesPerFrame
groups of bitpacked samples.
ResetInputPort
— Enable generator reset input
false
(default)  true
Enable the generator reset input, specified as a numeric or logical
0
(false
) or 1
(true
). To enable the ability to reset the sequence generator using
the resetseq
input argument, set this property to true
. This input resets the
states of the PN sequence generator to the initial conditions specified in the InitialConditions
property. For more information, see Resetting a Signal.
Dependencies
To enable this property, set InitialConditionsSource
to 'Property'
.
BitPackedOutput
— Output bitpacked words
false
(default)  true
Option to output bitpacked words, specified as false
or
true
. Set this property to true
to enable
bitpacked outputs.
When BitPackedOutput
is true
, the object outputs a column
vector of length M, which contains mostsignificantbit (MSB) first
integer representations of bit words of length P.
M is the number of samples per frame specified in the SamplesPerFrame
property. P is the size of the
bitpacked words specified in the NumPackedBits
property.
Note
The first bit from the left in the bitpacked word contains the most significant bit for the integer representation.
NumPackedBits
— Number of bits per bitpacked word
8
(default)  integer in the range [1, 32]
Number of bits packed into each output data word, specified as an integer in the range [1, 32].
Dependencies
To enable this property, set BitPackedOutput
to true
.
SignedOutput
— Output signed bitpacked words
false
(default)  true
Set this property to true
to obtain signed, bitpacked, output
words. In this case, a 1
in the most significant bit (sign bit)
indicates a negative value. The property indicates negative numbers in a two's
complement format.
Dependencies
To enable this property, set BitPackedOutput
to true
.
OutputDataType
— Data type of output
'double'
(default)  'logical'
 'Smallest unsigned integer'
 'Smallest integer'
Output data type, specified as one of these values:
When
BitPackedOutput
is set tofalse
,OutputDataType
can be'double'
,'logical'
, or'Smallest unsigned integer'
.When
BitPackedOutput
is set totrue
,OutputDataType
can be'double'
or'Smallest integer'
.
Note
You must have a FixedPoint Designer™ user license to use this property in 'Smallest unsigned
integer'
or 'Smallest integer'
mode.
Dependencies
The valid settings for this property depend on the setting of the BitPackedOutput
property.
Usage
Syntax
Description
outputs a frame
of the PN sequence in a column vector based on the configured object.outSequence
= pnSequence()
uses outSequence
= pnSequence(initcond
)initcond
as the initial conditions for the PN sequence of the
linearfeedback shift register.
To enable this syntax, set the InitialConditionsSource
property to 'Input port'
.
uses the outSequence
= pnSequence(maskvec
)maskvec
input to specify the mask vector that determines how
the PN sequence is shifted from its starting point.
To enable this syntax, set the MaskSource
property to
'Input port'
.
uses outSequence
= pnSequence(outputsize
)outputsize
as the output size.
To enable this syntax, set the VariableSizeOutput
property to true
.
uses outSequence
= pnSequence(resetseq
)resetseq
as the reset signal.
To enable this syntax, set the InitialConditionsSource
property to 'Property'
and the
ResetInputPort
property to true
.
outSequence
= pnSequence(initcond
,maskvec
,outputsize
)
To enable this syntax, set the InitialConditionsSource
property to 'Input port'
, the
ResetInputPort
property to false
, the
MaskSource
property to 'Input port'
, and the
VariableSizeOutput
property to true
.
outSequence
= pnSequence(maskvec
,outputsize
,resetseq
)
To enable this syntax, set the InitialConditionsSource
property to 'Property'
, the
MaskSource
property to 'Input port'
, the
VariableSizeOutput
property to true
, the
ResetInputPort
property to true
.
Input Arguments
initcond
— Initial register conditions used for shift register
binaryvalued scalar  binaryvalued vector
Initial conditions used for the shift register when the simulation starts, specified as a binaryvalued scalar or binaryvalued vector.
If you set this property to a scalar, the initial value of all cells in the shift register are the specified scalar value.
If you set this input to a vector, each element of the vector corresponds to the initial value of the corresponding cell in the shift register. The length of the vector must equal the degree of the generator polynomial specified by the
Polynomial
property.
Note
For the object to generate a nonzero sequence, at least one element of the initial condition for the PN sequence generator must be nonzero. Specifically, the initial state of at least one of the shift registers must be nonzero.
Example: outSequence = pnSequence([1 1 0])
corresponds to
possible initial register states for a PN sequence generator specified by a generator
polynomial of degree 3.
This object accepts variablesize inputs. After the object is locked, you can change the size of each input channel, but you cannot change the number of channels. For more information, see VariableSize Signal Support with System Objects.
Data Types: double
maskvec
— Mask vector
binary vector
Mask that determines how the PN sequence is shifted from its starting point,
specified as a binary vector. The length of the vector must equal the degree of the
Polynomial
property.
outputsize
— Length of output sequence
nonnegative integer  vector of the form [n 1]
Length of output sequence, specified as a nonnegative integer,
n, or a vector of the form [n 1], where
n is a positive integer. The first element of the vector
indicates the length of the output frame and the second element of the vector must be
1
.
The scalar or the first element of the row vector must be less than or equal to
the first element of the MaximumOutputSize
property value.
resetseq
— Reset PN sequence generator
scalar  column vector
Reset sequence generator, specified as a scalar or a column vector with length
equal to the number of samples per frame specified by the SamplesPerFrame
property.
When you specify this input as a nonzero scalar, the object resets to the specified initial conditions and then generates a new output frame.
When you specify this input as a column vector, the object resets to the specified initial conditions at each sample in the output frame that aligns with a nonzero value in the reset vector.
For more information, see Resetting a Signal.
Output Arguments
outSequence
— PN Sequence
column vector
PN sequence generated by the object, returned as a column vector.
Object Functions
To use an object function, specify the
System object as the first input argument. For
example, to release system resources of a System object named obj
, use
this syntax:
release(obj)
Examples
Configuring a PN Sequence Generator
When configuring a PN sequence generator System object™, you have options regarding how to express the polynomial and the mask. This figure defines a PN sequence generator with a generator polynomial $\mathit{p}\left(\mathit{z}\right)={\mathit{z}}^{6}+\mathit{z}+1$ and a mask $\mathit{m}\left(\mathit{z}\right)={\mathit{z}}^{5}+{\mathit{z}}^{4}+{\mathit{z}}^{2}+1$. The example shows a few of the formatting options available to define the generator polynomial and the mask when you configure the PN sequence generator in this figure.
You can input the polynomial exponents of z
for the nonzero terms of the polynomial in descending order of powers and the mask as a binary vector.
pnseq1 = comm.PNSequence('Polynomial',[6 1 0], ... 'Mask',[1 1 0 1 0 1],'SamplesPerFrame',20)
pnseq1 = comm.PNSequence with properties: Polynomial: [6 1 0] InitialConditionsSource: 'Property' InitialConditions: [0 0 0 0 0 1] MaskSource: 'Property' Mask: [1 1 0 1 0 1] VariableSizeOutput: false SamplesPerFrame: 20 ResetInputPort: false BitPackedOutput: false OutputDataType: 'double'
You can input the polynomial exponents as a binaryvalued row vector that represents the coefficients of the polynomial in order of descending powers.
pnseq2 = comm.PNSequence('Polynomial',[1 0 0 0 0 1 1], ... 'Mask',[1 1 0 1 0 1],'SamplesPerFrame',20)
pnseq2 = comm.PNSequence with properties: Polynomial: [1 0 0 0 0 1 1] InitialConditionsSource: 'Property' InitialConditions: [0 0 0 0 0 1] MaskSource: 'Property' Mask: [1 1 0 1 0 1] VariableSizeOutput: false SamplesPerFrame: 20 ResetInputPort: false BitPackedOutput: false OutputDataType: 'double'
You can also define the mask as a scalar value using the mask2shift
function.
mask2shift ([1 0 0 0 0 1 1],[1 1 0 1 0 1])
ans = 22
pnseq3 = comm.PNSequence('Polynomial',[1 0 0 0 0 1 1], ... 'Mask',22,'SamplesPerFrame',20)
pnseq3 = comm.PNSequence with properties: Polynomial: [1 0 0 0 0 1 1] InitialConditionsSource: 'Property' InitialConditions: [0 0 0 0 0 1] MaskSource: 'Property' Mask: 22 VariableSizeOutput: false SamplesPerFrame: 20 ResetInputPort: false BitPackedOutput: false OutputDataType: 'double'
Use each PN sequence object to generate a frame of 20 samples and compare the generated sequences.
out_1 = pnseq1(); out_2 = pnseq2(); out_3 = pnseq3(); isequal(out_1,out_2)
ans = logical
1
isequal(out_1,out_3)
ans = logical
1
Generate Maximal Length PN Sequences
Generate a 14sample frame of a maximal length PN sequence given generator polynomial, $${x}^{3}+{x}^{2}+1$$.
Generate PN sequence data by using the comm.PNSequence
object. The sequence repeats itself as it contains 14 samples while the maximal sequence length is only 7 samples ($${2}^{3}1$$).
pnSequence = comm.PNSequence('Polynomial',[3 2 0], ... 'SamplesPerFrame',14,'InitialConditions',[0 0 1]); x1 = pnSequence(); [x1(1:7) x1(8:14)]
ans = 7×2
1 1
0 0
0 0
1 1
1 1
1 1
0 0
Create another maximal length sequence based on the generator polynomial, $${x}^{4}+x+1$$. As it is a fourth order polynomial, the sequence repeats itself after 15 samples ($${2}^{4}1$$).
pnSequence2 = comm.PNSequence('Polynomial','x^4+x+1', ... 'InitialConditions',[0 0 0 1],'SamplesPerFrame',30); x2 = pnSequence2(); [x2(1:15) x2(16:30)]
ans = 15×2
1 1
0 0
0 0
0 0
1 1
0 0
0 0
1 1
1 1
0 0
⋮
Generate Galois LinearFeedback Shift Register Output
The comm.PNSequence
System object implements a linearfeedback shift register (LFSR) using a simple shift register generator (SSRG, or Fibonacci configuration). This configuration differs from the modular shift register generator (MSRG, or Galois configuration) by a phase difference, that can be determined empirically from the System object.
This phase difference can be specified as the Mask
parameter for the comm.PNSequence
System object to generate the equivalent MSRG configuration output. The block diagram represents the implementation of a 5bit LFSR in the Galois (MSRG) configuration.
Load the file GaloisLFSR
. The file contains the following variables that define the properties and output PN sequence of the 5bit Galois LFSR:
polyVec
: Generator polynomialpolySize
: Degree of the generator polynomialinitStates
: Initial conditions of the shift registermaskVar
: Mask to shift the PN sequencepn_msrg
: Output PN sequence of maximal length, from the 5bit Galois LFSR
load GaloisLFSR
Generate PN sequence data by using the comm.PNSequence
object with the same set of properties used to implement the 5bit Galois LFSR. Compare this PN sequence with the output of the 5bit Galois LFSR. The two sequences differ by a phase shift.
pnSequence = comm.PNSequence( ... 'Polynomial',polyVec, ... 'InitialConditions',initStates,... 'Mask',maskVar, ... 'SamplesPerFrame',2^polySize1); pn = pnSequence(); isequal(pn,pn_msrg)
ans = logical
0
Compute the phase shift between the two configurations. Set the value of the Mask
property based on this phase shift.
for i = 1:length(pn) exp_pn = [pn(i:end);pn(1:(i1))]; if isequal(exp_pn,pn_msrg) break end end maskVar = i1;
Generate PN sequence data by using the comm.PNSequence
System object with the modified Mask
property value. Compare this sequence with the output of the 5bit Galois LFSR. The two sequences are now equal.
pnSequence_mod = comm.PNSequence( ... 'Polynomial',polyVec, ... 'InitialConditions',initStates,... 'Mask',maskVar, ... 'SamplesPerFrame',2^polySize1); pn_mod = pnSequence_mod(); isequal(pn_mod,pn_msrg)
ans = logical
1
Additive Scrambling of Input Data
Digital communications systems commonly use additive scrambling to randomize input data to aid in timing synchronization and power spectral requirements. The comm.Scrambler
System object™ implements multiplicative scrambling but does not support additive scrambling. To perform additive scrambling you can use the comm.PNSequence
System object. This example implements the additive scrambling specified in IEEE 802.11™ by scrambling input data with an output sequence generated by the comm.PNSequence System object. For a Simulink® model that implements a similar workflow, see the Additive Scrambling of Input Data in Simulink example.
This figure shows an additive scrambler, that uses the generator polynomial ${\mathit{x}}^{7}+{\mathit{x}}^{4}+1$, as specified in figure 177 of IEEE 802.11 Section 17.3.5.5 [1].
Comparing the shift register specified in 802.11 with the shift register implementated using a comm.PNSequence System object, note that the two shift register schematics are mirror images of each other. Therefore, when configuring the comm.PNSequence System object to implement an additive scrambler, you must reverse values for the generator polynomial, the initial states, and the mask output. To take the output of the register from the leading end, specify a shift value of 7.
For more information about the 802.11 scrambler, see [1] and the wlanScramble
(WLAN Toolbox) reference page.
Define variables for the generator polynomial, shift value for the output, an initial shift register state, a frame of input data, and a variable containing the 127bit scrambler sequence specified in section 17.3.5.5 of the IEEE 802.11 standard. Create a PN sequence object that initializes the registers by using an input argument.
genPoly = 'x^7 + x^3 + 1'; % Generator polynomial shift = 7; % Shift value for output spf = 127; % Samples per frame initState = [1 1 1 1 1 1 1]; % Initial shift register state dataIn = randi([0 1],spf,1); ieee802_11_scram_seq = logical([ ... 0 0 0 0 1 1 1 0 1 1 1 1 0 0 1 0 1 1 0 0 1 ... 0 0 1 0 0 0 0 0 0 1 0 0 0 1 0 0 1 1 0 0 0 ... 1 0 1 1 1 0 1 0 1 1 0 1 1 0 0 0 0 0 1 1 0 ... 0 1 1 0 1 0 1 0 0 1 1 1 0 0 1 1 1 1 0 1 1 ... 0 1 0 0 0 0 1 0 1 0 1 0 1 1 1 1 1 0 1 0 0 ... 1 0 1 0 0 0 1 1 0 1 1 1 0 0 0 1 1 1 1 1 1 1])'; pnSeq = comm.PNSequence( ... Polynomial=genPoly, ... InitialConditionsSource="Input Port", ... Mask=shift, ... SamplesPerFrame=spf, ... OutputDataType="logical"); pnsequence = pnSeq(initState);
Compare the PN sequence object output to the IEEE 802.11 127bit scrambler sequence to confirm the generated PN sequence matches the 802.11 specified sequence.
isequal(ieee802_11_scram_seq,pnsequence)
ans = logical
1
Scramble input data according to the 802.11 specified additive scrambler by moduloadding input data with the PN sequence output.
scrambledOut = xor(dataIn,pnSeq(initState));
Descramble the scrambled data by applying the same scrambler and initial conditions to the scrambled data.
descrambledData = xor(scrambledOut,pnSeq(initState));
Verify that the descrambled data matches the input data.
isequal(dataIn,descrambledData)
ans = logical
1
Reference
[1] IEEE Std 802.11™2020 (Revision of IEEE Std 802.11™2016). "Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications." IEEE Standard for Information technology — Telecommunications and information exchange between systems. Local and metropolitan area networks — Specific requirements.
More About
Simple Shift Register Generator
A linearfeedback shift register (LFSR), implemented as a simple shift register generator (SSRG), is used to generate PN sequences. This type of shift register is also known as a Fibonacci implementation.
The Polynomial
property determines the feedback connections of the shift register. It is a primitive binary
polynomial in z, g_{r}z^{r}+g_{r–1}z^{r–1}+g_{r–2}z^{r–2}+...+g_{0}. For the coefficient,
g_{k=0} to r,
the coefficient g_{k} is 1 if there is a connection
from the kth register to the adder. The leading term,
g_{r}, and the constant term,
g_{0}, of the Polynomial
property must be 1
because the polynomial must be primitive. The
InitialConditions
property specifies the initial values of the
registers. For example, the following table indicates two sets of parameter values that
correspond to a generator polynomial of p(z) =
z^{8} +
z^{2} + 1.
Quantity  Example 1  Example 2 

Polynomial  g1 = [1 0 0 0 0 0 1 0 1]  g2 = [8 2 0] 
Degree of generator polynomial  8, which is length(g1)1
 8 
InitialConditions  [1 0 0 0 0 0 1 0]  [1 0 0 0 0 0 1 0] 
Each time you call the object, all r registers in the generator update their values according to the value of the incoming arrow to the shift register. The adders perform addition modulo 2. The output of the LFSR reflects the sum of all connections in the m mask vector.
The Mask
property, m, determines the shift of
the PN sequence starting point. For more information, see Shifting PN Sequence Starting Point.
Shifting PN Sequence Starting Point
To shift the starting point of the PN sequence, specify the Mask
property as:
An integer representing the length of the shift.
The default
Mask
setting of0
corresponds to no shift. As illustrated in the LFSR shift register diagram in Simple Shift Register Generator, there is no shift when the only connection is along the arrow labeled m_{0}.This table shows the shift that occurs when you set
Mask
to0
versus a positive integer d.T = 0 T = 1 T = 2 ... T = d T = d+1 Shift = 0 x_{0} x_{1} x_{2} ... x_{d} x_{d+1} Shift = d x_{d} x_{d+1} x_{d+2} ... x_{2d} x_{2d+1} A binary vector whose length is equal to the degree of the generator polynomial. The LFSR shift register diagram in Simple Shift Register Generator shows
Mask
specified as a mask vector, m. The binary vector must have N elements, where N is the degree of the generator polynomial. To calculate the mask vector, use theshift2mask
function.The binary vector corresponds to a polynomial in z, m_{r–1}z^{r–1} + m_{r–2}z^{r–2} + ... + m_{1}z + m_{0}, of degree at most r – 1. The mask vector that corresponds to a shift of d is the vector that represents m(z) = z^{d} modulo g(z), where g(z) is the generator polynomial.
For example, if the degree of the generator polynomial is 4, then the mask vector that corresponds to d = 2 is
[0 1 0 0]
, which represents the polynomial m(z) = z^{2}.
Resetting a Signal
To reset the PN generator sequence, you must first set the
ResetInputPort
property to true
. Suppose that the
system object generates a PN sequence of [1 0 0 1 1 0 1 1]
when there is
no reset. When the reset signal [0 0 0 1]
is passed as an input argument
to the object, the PN sequence is reset at the fourth bit, because the fourth bit of the
reset signal is a 1
.
Sequences of Maximum Length
To generate a maximum length sequence for a generator polynomial that has the degree
r, set Polynomial
to a
value from the following table. The maximum sequence length is 2^{r} – 1.
r  Generator Polynomial  r  Generator Polynomial  r  Generator Polynomial  r  Generator Polynomial 

2  [2 1 0]
 15  [15 14 0]
 28  [28 25 0]
 41  [41 3 0]

3  [3 2 0]
 16  [16 15 13 4 0]
 29  [29 27 0]
 42  [42 23 22 1 0]

4  [4 3 0]
 17  [17 14 0]
 30  [30 29 28 7 0]
 43  [43 6 4 3 0]

5  [5 3 0]
 18  [18 11 0]
 31  [31 28 0]
 44  [44 6 5 2 0]

6  [6 5 0]
 19  [19 18 17 14 0]
 32  [32 31 30 10 0]
 45  [45 4 3 1 0]

7  [7 6 0]
 20  [20 17 0]
 33  [33 20 0]
 46  [46 21 10 1 0]

8  [8 6 5 4 0]
 21  [21 19 0]
 34  [34 15 14 1 0]
 47  [47 14 0] 
9  [9 5 0]
 22  [22 21 0]
 35  [35 2 0]
 48  [48 28 27 1 0] 
10  [10 7 0]
 23  [23 18 0]
 36  [36 11 0]
 49  [49 9 0] 
11  [11 9 0]
 24  [24 23 22 17 0]
 37  [37 12 10 2 0]  50  [50 4 3 2 0] 
12  [12 11 8 6 0]
 25  [25 22 0]
 38  [38 6 5 1 0]  51  [51 6 3 1 0] 
13  [13 12 10 9 0]
 26  [26 25 24 20 0]
 39  [39 8 0]  52  [52 3 0] 
14  [14 13 8 4 0]
 27  [27 26 25 22 0]
 40  [40 5 4 3 0]
 53  [53 6 2 1 0] 
For more information about the shift register configurations that these polynomials represent, see Digital Communications by John Proakis.[1].
References
[1] Proakis, John G. Digital Communications. 5th ed. New York: McGraw Hill, 2007.
[2] Lee, J. S., and L. E. Miller. CDMA Systems Engineering Handbook. Boston and London. Artech House, 1998.
[3] Golomb, S.W. Shift Register Sequences. Laguna Hills. Aegean Park Press, 1967.
Extended Capabilities
C/C++ Code Generation
Generate C and C++ code using MATLAB® Coder™.
Usage notes and limitations:
See System Objects in MATLAB Code Generation (MATLAB Coder).
Version History
Introduced in R2008a
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