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Computer Networking Program
general versions of linearity such as convolutional coding and filter-bank coding. Finding optimal coding solutions for general network problems with arbitrary
Linear_network_coding
Concept in coding theory
In coding theory, triangular network coding (TNC) is a non-linear network coding based packet coding scheme introduced by Qureshi, Foh & Cai (2012). Previously
Triangular_network_coding
Scheme for controlling errors in data over noisy communication channels
telecommunication, information theory, and coding theory, forward error correction (FEC) or channel coding is a technique used for controlling errors
Error_correction_code
Speech analysis and encoding technique
Linear predictive coding (LPC) is a method used mostly in audio signal processing and speech processing for representing the spectral envelope of a digital
Linear_predictive_coding
Digital representation of sampled analog signals
techniques, such as modified discrete cosine transform (MDCT) coding. Linear PCM (LPCM) is PCM with linear quantization. Differential PCM (DPCM) encodes the PCM
Pulse-code_modulation
Professor of electrical engineering
Innovators Under 35. She introduced an approach that used random linear network coding to transmit and compress information. They went on to show the benefits
Michelle_Effros
Lossy audio compression applied to human speech
speech coding are mobile telephony and voice over IP (VoIP). The most widely used speech coding technique in mobile telephony is linear predictive coding (LPC)
Speech_coding
Study of the properties of codes and their fitness
There are four types of coding: Data compression (or source coding) Error control (or channel coding) Cryptographic coding Line coding Data compression attempts
Coding_theory
Property of rank functions of matroids
application of Ingleton's inequality concerns the computation of network coding capacities. Linear coding solutions are constrained by the inequality and it has
Ingleton's_inequality
Class of codes in coding theory
complexity through a pre-coding stage of the input symbols. Triangular network coding achieve linear encoding and decoding using non-linear encoding, and decoding
Fountain_code
Swedish academic
and orthogonal space-time block coding” was the first to address the association between space-time coding and linear adaptive transmission. According
Mikael_Skoglund
Narrowband analog-to-digital conversion
predicted according to a linear function of the past values of the quantized signals. APC is related to linear predictive coding (LPC) in that both use
Adaptive_predictive_coding
Optical machine-readable representation of data
other patterns, called matrix codes or 2D barcodes. Despite being often included as barcodes, these do not use bars as linear barcodes do. These can be read
Barcode
Hong Kong information theorist (born 1962)
– with T. H. Chan 2003: "Linear network coding," IEEE Trans. Information Theory – with S.-Y. R. Li and N. Cai 2006: "Network error correction, Part I
Raymond_W._Yeung
American mathematician
Freiling, Christopher; Zeger, Kenneth (2005), "Insufficiency of linear coding in network information flow", IEEE Transactions on Information Theory, 51
Chris_Freiling
Network coding concept
scheme for use with network coding to prevent pollution attacks. The homomorphic property of the signatures allows nodes to sign any linear combination of
Homomorphic signatures for network coding
Homomorphic_signatures_for_network_coding
German mathematician
Information-theoretic security Linear network coding Ahlswede, R; Ning Cai; Li, S.-Y.R; Yeung, R.W (2000). "Network information flow" (PDF). IEEE Transactions
Rudolf_Ahlswede
Method by which information is represented in the brain
sentence, and so a sparse coding for English would be those symbols. Most models of sparse coding are based on the linear generative model. In this model
Neural_coding
Mathematical function conceived as a crude model
in biological networks is presumably due to the inherent simplicity of the coding. Another contributing factor could be that unary coding provides a certain
Artificial_neuron
Digitally coded format for audio signals
Audio Coding (AAC). Linear predictive coding (LPC) Adaptive predictive coding (APC) Code-excited linear prediction (CELP) Algebraic code-excited linear prediction
Audio_coding_format
Class of quantum error correcting codes
linear codes with some special properties. Examples of CSS codes include the Shor code, Steane code, the toric code, and more general surface codes.
CSS_code
Speech codec by Qualcomm
enough to fit a wireless system by coding the information more efficiently. In particular, it can change its own coding rates based on the speaker's volume
Qualcomm code-excited linear prediction
Qualcomm_code-excited_linear_prediction
Problem in information theory and communication
as sensor networks and video/multimedia compression (see distributed video coding). One of the main properties of distributed source coding is that the
Distributed_source_coding
compression or companding algorithm Warped Linear Predictive Coding (WLPC) Image compression Block Truncation Coding (BTC): a type of lossy image compression
List_of_algorithms
In cooperative subspace coding, also known as linear network coding, nodes transmit random linear combinations of original packets with coefficients which
Cooperative_MIMO
Widely used standard for video compression
Video Coding (AVC), also referred to as H.264 or MPEG-4 Part 10, is a video compression standard based on block-oriented, motion-compensated coding. It
Advanced_Video_Coding
Code added to allow recovery of lost data
Erasure coding was invented by Irving Reed and Gustave Solomon in 1960. There are many different erasure coding schemes. The most popular erasure codes are
Erasure_code
Linear error correcting code
turbo codes, they have gained prominence in coding theory and information theory since the late 1990s. The codes today are widely used in applications ranging
Low-density_parity-check_code
Speech codec used by CDMA networks
frames and Noise Excitation Linear Prediction (NELP) for efficient coding of unvoiced or noise frames. Using NELP and PPP coding at 2.0 kbit/s provides EVRC-B
Enhanced Variable Rate Codec B
Enhanced_Variable_Rate_Codec_B
Artificial intelligence chatbot by Moonshot AI
{\displaystyle S_{t}=S_{t-1}+v_{t}k_{t}^{T}} . This update resembles a linear recurrent network, so one considers modifying it in a way similar to LSTM: S ~ t
Kimi_(AI)
Family of linear error-correcting codes
computer science and telecommunications, Hamming codes are a family of linear error-correcting codes. Hamming codes can detect one-bit and two-bit errors, or
Hamming_code
ITU-T standard for speech coding
for speech coding operating at 16 kbit/s. It is officially described as Coding of speech at 16 kbit/s using low-delay code excited linear prediction.
G.728
Method to solve optimization problems
Linear programming (LP), also called linear optimization, is a method to achieve the best outcome (such as maximum profit or lowest cost) in a mathematical
Linear_programming
Type of error correcting code
polar codes are a linear block error-correcting codes. The code construction is based on a multiple recursive concatenation of a short kernel code which
Polar_code_(coding_theory)
Quantum error correction code
strikingly similar to classical linear block codes in their operation and performance. Just as a classical linear block code can be defined by its parity-check
Stabilizer_code
Classification of Artificial Neural Networks (ANNs)
m}^{(3)}h_{\ell }^{2}h_{m}^{3}\right).} A deep predictive coding network (DPCN) is a predictive coding scheme that uses top-down information to empirically
Types of artificial neural networks
Types_of_artificial_neural_networks
Japanese scientist
application to speech analysis, synthesis and coding, including the development of the linear predictive coding (LPC) and line spectral pairs (LSP) methods
Fumitada_Itakura
American mathematician
Freiling and Ken Zeger, he showed that linear codes are insufficient to gain the full advantages of network coding. Dougherty, Randall & Matthew Foreman
Randall_Dougherty
Error-correcting code
In coding theory, rank codes (also called Gabidulin codes) are non-binary linear error-correcting codes over not Hamming but rank metric. They described
Rank_error-correcting_code
American pay television network
programming includes original television series produced exclusively for the linear network and developed for the co-owned Paramount+ streaming service, theatrically
Showtime_(TV_network)
ITU-T recommendation
sequence of repeating code values which defines the power level of 0 dB. The μ-law and A-law algorithms encode 14-bit and 13-bit signed linear PCM samples, respectively
G.711
Overview of and topical guide to algorithms
Hash-based message authentication code Password-based key derivation function Bcrypt Argon2 Huffman coding Arithmetic coding Run-length encoding Lempel–Ziv–Welch
Outline_of_algorithms
Speech coding standard
was the first digital speech coding standard used in the GSM digital mobile phone system. It uses linear predictive coding (LPC). The bit rate of the codec
Full_Rate
Networks connecting quantum processors
the initial entangled pairs. It can be seen that a network of such repeaters can be used linearly or in a hierarchical fashion to establish entanglement
Quantum_network
Theoretical model of sensory neuroscience
optimized for coding images (or sounds) representative of those found in nature. Researchers have shown that filters optimized for coding natural images
Efficient_coding_hypothesis
random linear combinations of the blocks along with the random coefficients of this linear combination - a technique known as 'network coding'. This technique
Avalanche_(P2P)
Form of cryptanalysis
In cryptography, linear cryptanalysis is a general form of cryptanalysis based on finding affine approximations to the action of a cipher. Attacks have
Linear_cryptanalysis
Type of machine learning model
vibe coding. They can also describe code in natural language or translate it into other programming languages. They were originally used as a code completion
Large_language_model
Neural network that learns efficient data encoding in an unsupervised manner
pθ(x), with θ defined as the set of the network parameters so that pθ(x)=∫zpθ(x,z)dz. Inspired by the sparse coding hypothesis in neuroscience, sparse autoencoders
Autoencoder
Type of feedforward neural network
that is not linearly separable. Modern neural networks are trained using backpropagation and are colloquially referred to as "vanilla" networks. MLPs grew
Multilayer_perceptron
Abstraction of linear independence of vectors
applications in geometry, topology, combinatorial optimization, network theory, and coding theory. There are many equivalent ways to define a (finite) matroid
Matroid
Computational model used in machine learning
neural networks are based on statistics developed over 200 years ago. The simplest kind of feedforward neural network (FNN) is a linear network, which
Neural network (machine learning)
Neural_network_(machine_learning)
Operations related to the reuse of products and materials
topology of the network. encoding scheme selected is a binary-coded string reflecting one-gene-one facility correspondence on a linear string, whose substrings
Reverse logistics network modelling
Reverse_logistics_network_modelling
receiver antennas. CI coding of reference signals is disclosed in US 7430257. The use of CI for linear network coding and onion coding is disclosed in US
Carrier_interferometry
ITU-T Recommendation
3 ms. It is officially described as Coding of speech at 8 kbit/s using code-excited linear prediction speech coding (CS-ACELP), and was introduced in 1996
G.729
Non-destructive audio, video, or image editing
Non-linear editing (NLE) is a form of offline editing for audio, video, and image editing. In offline editing, the original content is not modified in
Non-linear_editing
Compact encoding of digital data
source coding: encoding is done at the source of the data before it is stored or transmitted. Source coding should not be confused with channel coding, for
Data_compression
Error-correcting code
Hadamard code is not only used by engineers, but also intensely studied in coding theory, mathematics, and theoretical computer science. The Hadamard code is
Hadamard_code
Technology that records, stores, and reproduces sound
at Bell Labs in 1973. Perceptual coding was first used for speech coding compression, with linear predictive coding (LPC). Initial concepts for LPC date
Digital_audio
Deep learning library
print(a.max()) # Output: tensor(0.8498) The following code block defines a neural network with linear layers using the nn module. from torch import nn #
PyTorch
Modular communications interface
with black or Beige color coding SX – 850 nm, for a maximum of 550 m Multi-mode fiber, LC connector, with blue color coding FX – 1300 nm, for a distance
Small_Form-factor_Pluggable
Proposed quantum computer implementation
configuration in z ^ {\displaystyle {\widehat {z}}} , the simplest case being a linear strand of only a few ions. Coulomb interactions of increasing complexity
Trapped-ion_quantum_computer
Topological quantum error correcting code
The surface code is a topological quantum error correcting code, and an example of a stabilizer code, defined on a two-dimensional spin lattice. The first
Surface_code
Two-bit quantum communication protocol
In quantum information theory, superdense coding (also referred to as dense coding) is a quantum communication protocol to communicate a number of classical
Superdense_coding
Sports streaming service
services. Initially developed under the code name "Flagship", the service makes ESPN's linear cable television networks and digital programming —previously
ESPN_(streaming_service)
Process in quantum computing
classical counterpart, the classical error-correcting code. In classical coding theory, a code is commonly denoted by the notation [ n , k , d ] {\displaystyle
Quantum_error_correction
Voice encryption, transformation, and synthesis device
used digital speech coding. The most widely used speech coding technique is linear predictive coding (LPC). Another speech coding technique, adaptive
Vocoder
Paradigm of quantum computer
of finite linear optical elements constructs a network of linear optics, which can realize any quantum circuit diagram or quantum network based on the
Linear optical quantum computing
Linear_optical_quantum_computing
List of computer file compression formats
SpeedHQ – used in Network Device Interface (NDI) protocol NewTek Codec FFmpeg Multiview Video Coding Multiview High Efficiency Video Coding (MV-HEVC; an extension
List_of_codecs
Linear algebra library
is a linear algebra library, created by Mikio Braun, for the Java programming language built upon BLAS and LAPACK. Unlike most other Java linear algebra
Jblas: Linear Algebra for Java
Jblas:_Linear_Algebra_for_Java
Square matrix without an inverse
matrix A is singular if and only if its determinant, det(A)=0. In classical linear algebra, a matrix is called non-singular (or invertible) when it has an
Singular_matrix
Standard for serial communication between devices without host computer
A controller area network (CAN bus) is a vehicle bus standard designed to allow microcontrollers and devices to communicate with each other. It is a message-based
CAN_bus
Code used in quantum error correction
ISBN 978-0-19-269469-0. Nakahara, Mikio; Ohmi, Tetsuo (2008-03-11). Quantum Computing: From Linear Algebra to Physical Realizations. CRC Press. ISBN 978-1-040-06974-5.
Shor_code
Type of data compression
predictive coding (LPC) Adaptive predictive coding (APC) Code-excited linear prediction (CELP) Algebraic code-excited linear prediction (ACELP) Relaxed code-excited
Lossy_compression
Quantum error correction schemes can suppress the logical error rate arbitrarily low
problem it solves." Current estimates put the threshold for the surface code on the order of 1%, though estimates range widely and are difficult to calculate
Threshold_theorem
Subset of artificial intelligence
termed "neural networks"; these were mostly perceptrons and other models that were later found to be reinventions of the generalised linear models of statistics
Machine_learning
Projection of data onto lower-dimensional manifolds
based on a non-linear mapping from the embedded space to the high-dimensional space. These techniques are related to work on density networks, which also
Nonlinear dimensionality reduction
Nonlinear_dimensionality_reduction
MMSE and non-linear beam-forming (precoding) such as Tomlinson-Harashima precoding (THP), vector perturbation (VP), and Dirty paper coding (DPC). New antenna
Many_antennas
Quantum mechanics idea
interacted. This process may have application in quantum communication networks and quantum computing. Entanglement swapping has two pairs of entangled
Entanglement_swapping
Quantum Mechanics in Neural Networks
Quantum neural networks (QNN) are computational neural network models which are based on the principles of quantum mechanics. The first ideas on quantum
Quantum_neural_network
Binary sequence used in telecommunications
cross-correlation is less than or equal to 2(n+2)/2, where n is the size of the linear-feedback shift register used to generate the maximum-length sequence. The
Gold_code
Block cipher
i < 4; i++) { B[i + 1] = X[i]; } Rijndael is a substitution-linear transformation network with ten, twelve, or fourteen rounds, depending on the key size
Serpent_(cipher)
Property of computational resources needed
gravity and holography. In holographic quantum error-correcting codes, stabilizer-code models reproduce some qualitative features of the Ryu–Takayanagi
Magic_(quantum_information)
Principle in quantum information theory
channel quantum network Quantum state purification Quantum teleportation quantum energy teleportation quantum gate teleportation Superdense coding Quantum cryptography
No-communication_theorem
Type of error correction in quantum computing
five-qubit error correcting code, [[5,1,3]] code, or Laflamme–Miquel–Paz–Zurek code is the smallest quantum error correcting code that can protect a logical
Five-qubit error correcting code
Five-qubit_error_correcting_code
Properties of the operation of a secure cipher
Cryptography with Coding Theory. Second edition. Pearson Prentice Hall, 2006. Li, Chaoyun; Wang, Qingju (2017). "Design of Lightweight Linear Diffusion Layers
Confusion_and_diffusion
Change of basis applied in quantum computing
In quantum computing, the quantum Fourier transform (QFT) is a linear transformation on quantum bits, and is the quantum analogue of the discrete Fourier
Quantum_Fourier_transform
Block cipher
CLEFIA website 256bit Ciphers - CLEFIA Reference implementation and derived code Sony Introduces CLEFIA Implementation of 128-bit CLEFIA codec and hash function
CLEFIA
Clustering Least-Angle Regression (LARS/LASSO) Linear Regression Bayesian Linear Regression Local Coordinate Coding Locality-Sensitive Hashing (LSH) Logistic
Mlpack
Subfield of mathematical optimization
function f is a linear function. This is because any program with a general objective can be transformed into a program with a linear objective by adding
Convex_optimization
Type of artificial neural network
rate-coded in the capsule's output vector. This shift from place-coding to rate-coding, combined with the fact that higher-level capsules represent more
Capsule_neural_network
2000 video game
Alan (June 23, 2021). "'Resident Evil: Code Veronica' fan remake demo is now available". NME. NME Networks. Archived from the original on April 28,
Resident Evil – Code: Veronica
Resident_Evil_–_Code:_Veronica
Archaeological horizon of Neolithic Europe
from the German Linearbandkeramik, it is also known as the Linear Band Ware, Linear Ware, Linear Ceramics or Incised Ware culture, falling within the Danubian I
Linear_Pottery_culture
Quantum key distribution protocol
channel quantum network Quantum state purification Quantum teleportation quantum energy teleportation quantum gate teleportation Superdense coding Quantum cryptography
BB84
Technique for the generative modeling of a continuous probability distribution
where z,z′ are IID Gaussians. There are 5 variables x0,xt−1,xt,z,z′ and two linear equations. The two sources of randomness are z,z′, which can be reparameterized
Diffusion_model
Military speech coding standard
Mixed-excitation linear prediction (MELP) is a United States Department of Defense speech coding standard used mainly in military applications and satellite
Mixed-excitation linear prediction
Mixed-excitation_linear_prediction
Smooth approximation of one-hot arg max
multiclass linear discriminant analysis, naive Bayes classifiers, and artificial neural networks. Specifically, in multinomial logistic regression and linear discriminant
Softmax_function
Type of quantum computer
twists (logic circuits) to the topological quantum computer, in a simple linear relationship. In other words, a reasonable increase in elements (braid twists)
Topological_quantum_computer
American computer scientist
language processing. Dr. Makhoul's work on linear predictive coding was used in the establishment of the Network Voice Protocol, which enabled the transmission
John_Makhoul
Computational benchmark
computing paradigm based upon sending identical photons through a linear-optical network can solve certain sampling and search problems that, assuming a
Quantum_supremacy
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LINEAR NETWORK-CODING
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