Skip to main content
Powered by ShareScore

Find research datasets worth reusing

Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.

10

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

10 results for “Primitive Polynomials”

Learn how ShareScore rates datasets ↗
zenodo40/100

BRAIN Journal-A Synoptic of Software Implementation for Shift Registers Based on 16th Degree Primitive Polynomials-Figure 4. Scheme for the polynomial with [16, 14, 13, 11] tap sequence

<p>A simulation program for the functioning on LFSR of the 16th degree for the Galois implementation was developed. In the following example an analysis for the 14 selected primitive polynomials will be presented. A list with the positions which will influence the future state is called tap sequence.</p> <p>This sequence can be represented by a polynomial mod 2, only with coefficients 1 and 0, called Feedback Polynomial or Characteristic Polynomial. For the above scheme this polynomial is: P(X)= X^16+X^14+X^13+X^11+1</p>

opencc-by-4.0Aug 2016View details →
zenodo40/100

BRAIN Journal-A Synoptic of Software Implementation for Shift Registers Based on 16th Degree Primitive Polynomials-Figure 3. Galois implementation

<p>In Galois implementation there is a Shift Register, whose content is modified each step at a binary value sent to the output. In Galois configuration the single shifted out bit is XOR ed with several bits in the shift register and in conventional configuration each new bit input to the shift register is the XOR of several bits in the register.</p>

opencc-by-4.0Aug 2016View details →
zenodo40/100

BRAIN Journal-A Synoptic of Software Implementation for Shift Registers Based on 16th Degree Primitive Polynomials-Figure 2. Fibonacci implementation

<p>A LFSR can be represented as a polynomial of variable x referred to as the generator polynomial or the characteristic polynomial. The input bit is given from a linear function of the initial status for a special shift register called Linear Feedback Shift Register (LFSR). The initial value of the register is called seed and the produced sequence is completely determined by the initial status. Because the register has a finite number of possible statuses, after a period the sequence will be repeated. If the feedback function is very well chosen, the produced sequence will be random and the cycle will be very long, called by Golomb (1967) maximum lengths shift register sequences. Goresky and Klapper (2004) show two possibilities to implement a LFSR: &bull; Fibonacci Form &bull; Galois.&nbsp;&nbsp;</p>

opencc-by-4.0Aug 2016View details →
zenodo40/100

BRAIN Journal-A Synoptic of Software Implementation for Shift Registers Based on 16th Degree Primitive Polynomials-Figure 1. Basis scheme for a Feedback Shift Register

<p>Every LFSR works by taking the XOR of the selected bits in its internal state and any LFSR containing all zero bits will never move to any other state, so one possible state must be excluded from any cycle. A LFSR is composed of memory cells connected together as a shift register with linear feedback. In digital circuits a shift register is formed by flip-flops and EXOR gates chained together with a synchronous clock. Shift registers are a form of sequential logic like counters. Always the shift registers produce a discrete delay of a digital signal or waveform. Considering that a shift register has n stages, the waveform is delayed by n discrete clock times. Usually the naming of the shift register follows a type of convention shown normally in digital logic, with the least significant bit on the left. According to the communication protocol, the signals will be addressed, not the registers. There are n+1 signals for each n-bit register. Always the next state of an LFSR is uniquely determined from the previous one by the feedback network. Any LFSR will generate a sequence of different states starting with the initial one, called seed. A feedback shift register is composed of: - a shift register - a feedback function.&nbsp;</p>

opencc-by-4.0Aug 2016View details →
zenodo40/100

BRAIN Journal-A Synoptic of Software Implementation for Shift Registers Based on 16th Degree Primitive Polynomials-Figure 10. Graphic containing the results for 1000 bits

<p>The distribution obtained depending on the length of the input string shows that time depends on the input length, but for lengths even closer together, the times are also close (this can be seen in Figure 8 for 20 bits inputs). Time does not change so much depending on which of the 14 different 16th degree primitive polynomials has been used.&nbsp;</p>

opencc-by-4.0Aug 2016View details →
zenodo40/100

BRAIN Journal-A Synoptic of Software Implementation for Shift Registers Based on 16th Degree Primitive Polynomials-Figure 9. Graphic containing the results for 1000 bits

<p>The next two graphics show the obtained results from the execution of the main program for each of the 14 degrees, 16th primitive polynomials for three different situations depending on the lengths of the entrance data polynomial. The lengths of the input polynomials were 20. 30. 40, 50, 100 and 1000 bits. The maximum number of sequences is 216-1(Solomon, 1967).&nbsp;</p>

opencc-by-4.0Aug 2016View details →
zenodo40/100

BRAIN Journal-A Synoptic of Software Implementation for Shift Registers Based on 16th Degree Primitive Polynomials-Figure 8. Graphic containing the results for 20 bits

<p>The next two graphics show the obtained results from the execution of the main program for each of the 14 degrees, 16th primitive polynomials for three different situations depending on the lengths of the entrance data polynomial. The lengths of the input polynomials were 20. 30. 40, 50, 100 and 1000 bits. The maximum number of sequences is 216-1(Solomon, 1967).&nbsp;</p>

opencc-by-4.0Aug 2016View details →
zenodo40/100

BRAIN Journal-A Synoptic of Software Implementation for Shift Registers Based on 16th Degree Primitive Polynomials-Figure 7. Ring Implementation for the Polynomial X6+X^12+X^3+X+1

<p>VlăduŃiu and Crişan (1989) show three types of schemes for a 4th degree polynomial. Similar to it, there were developed the three different implementations for the Primitive Polynomial X^16+X^12+X^3+X+1. It can be specified that these schemes are according to the well-known Galois Form, Fibonacci representation and some other Forms that are rarely used, called Ring Implementation. All of these Implementations have the same function, because they describe a linear feedback shift register. In the experimental work there has been analyzed the behavior of 14 Primitive Polynomial degrees, 16 randomly selected. For each of these polynomials there has been developed the simulation of the specific functioning with a program. Because the goal of this experimental work was to compare the different obtained results, a few rows of input data of a different length have been selected.&nbsp;&nbsp;</p>

opencc-by-4.0Aug 2016View details →
zenodo40/100

BRAIN Journal-A Synoptic of Software Implementation for Shift Registers Based on 16th Degree Primitive Polynomials-Figure 5. Galois Implementation for the Polynomial X^16+X^12+X^3+X+1

<p>VlăduŃiu and Crişan (1989) show three types of schemes for a 4th degree polynomial. Similar to it, there were developed the three different implementations for the Primitive Polynomial X^16+X^12+X^3+X+1. It can be specified that these schemes are according to the well-known Galois Form, Fibonacci representation and some other Forms that are rarely used, called Ring Implementation. All of these Implementations have the same function, because they describe a linear feedback shift register. In the experimental work there has been analyzed the behavior of 14 Primitive Polynomial degrees, 16 randomly selected. For each of these polynomials there has been developed the simulation of the specific functioning with a program. Because the goal of this experimental work was to compare the different obtained results, a few rows of input data of a different length have been selected</p>

opencc-by-4.0Aug 2016View details →
zenodo40/100

RAIN Journal-A Synoptic of Software Implementation for Shift Registers Based on 16th Degree Primitive Polynomials-Figure 6. Fibonacci Implementation for the Polynomial X^16+X^12+X^3+X+1

<p>VlăduŃiu and Crişan (1989) show three types of schemes for a 4th degree polynomial. Similar to it, there were developed the three different implementations for the Primitive Polynomial X^16+X^12+X^3+X+1. It can be specified that these schemes are according to the well-known Galois Form, Fibonacci representation and some other Forms that are rarely used, called Ring Implementation. All of these Implementations have the same function, because they describe a linear feedback shift register. In the experimental work there has been analyzed the behavior of 14 Primitive Polynomial degrees, 16 randomly selected. For each of these polynomials there has been developed the simulation of the specific functioning with a program. Because the goal of this experimental work was to compare the different obtained results, a few rows of input data of a different length have been selected</p>

opencc-by-4.0Jun 2016View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated datasets

Allen Brain Atlas

Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record