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This document discusses universal lossless source coding for independent piecewise identically distributed (i.p.i.d.) sources. It proves that Bayes codes, which are universal source codes, minimize the mean redundancy asymptotically for i.p.i.d. sources where the number of stationary segments increases to infinity as the data size increases. Specifically, it shows that the mean redundancy of the Bayes codes does not depend on the coding probability and equals the Bayes redundancy asymptotically, demonstrating that the Bayes codes optimize compression in this scenario.
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Csr2011 june17 09_30_yekhanin
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By : Ola Mashaqi, Suhad Malayshe, Mais Masri
Annajah national University
Telecommunications Engineers
A Systematic Approach To Probabilistic Pointer Analysis
This document presents a formal framework for probabilistic pointer analysis of probabilistic programs. It describes constructing a discrete-time Markov chain representing the concrete semantics of a probabilistic While program with static pointers by composing the probabilistic control flow and data updates using a tensor product. It then applies probabilistic abstract interpretation to obtain an abstract semantics with drastically reduced size. The analysis systematically derives probabilistic pointer information like points-to matrices and tensors, providing an alternative to experimental profiling approaches.
Speaker recognition systems
This presentation consists of description about speaker verification system and speaker identification system
Welcome to International Journal of Engineering Research and Development (IJERD)
The document presents a novel approach for forward error correction (FEC) decoding based on the belief propagation (BP) algorithm in LTE and WiMAX systems. Specifically, it proposes representing tail-biting convolutional codes and turbo codes using parity check matrices, which allows both code types to be decoded using a unified BP algorithm. This provides a lower complexity decoding architecture compared to traditional approaches. Simulation results show the BP algorithm achieves near-identical performance to maximum a posteriori (MAP) decoding for turbo codes, while being less complex. Representing codes with parity check matrices thus enables a universal decoder for LTE and WiMAX using a single BP algorithm.
Turbo Code
This document discusses turbo and turbo-like codes. It begins with an introduction to turbo codes, describing them as a class of high-performance error correction codes that were the first practical codes to closely approach channel capacity. It then covers channel coding, Shannon's theory, existing coding schemes like block codes and convolutional codes, and the need for better codes. The document spends significant time explaining turbo codes in detail, including their structure using parallel concatenated convolutional codes, interleaving, and iterative decoding. It also discusses related coding schemes like turbo product codes and low-density parity check codes. Finally, it reviews the performance, practical issues, applications in standards, and future trends of turbo and turbo-like codes.
coba dl.pdf
This summary analyzes the distortion rate of image transform coding at low bit rates (less than 1 bit per pixel). It shows that at these rates, the distortion varies proportionally to R^1/2, where the constant depends on the image and is around 1 for natural images. It also explains that the performance of transform codings like wavelet and JPEG depends mainly on the basis's ability to approximate images with a small number of nonzero coefficients. Numerical experiments on test images support these findings.
LDPC Encoding
This document discusses Low Density Parity Check (LDPC) codes. It describes LDPC codes as having sparse parity check matrices, which allows for large minimum distances and improved error correction performance. It explains the differences between regular and irregular LDPC codes, and discusses factors like minimum distance, cycle length, linear independence, and encoding and decoding of LDPC codes. It provides examples of parity check matrices and generator matrices. It also provides an overview of an LDPC system and the encoding process.
Bio-op Errors in DNA Computing
The document discusses analyzing and reducing errors in DNA computing algorithms. It focuses on a sensitivity analysis of Gloor's algorithm for the shortest common superstring problem. Key steps include encoding input strings, generating all possible solutions, and iteratively matching strings. The analysis finds that encoding and extraction steps are most sensitive to errors. Various techniques are proposed to make the algorithm more error-resistant, such as carefully designing the encoding to avoid mismatches, and using multiplexing to tolerate a certain number of erroneous operations. The goal is to tune the algorithm and underlying biological operations to be robust against real-world error rates in DNA computing.
International Journal of Engineering Research and Development (IJERD)
journal publishing, how to publish research paper, Call For research paper, international journal, publishing a paper, IJERD, journal of science and technology, how to get a research paper published, publishing a paper, publishing of journal, publishing of research paper, reserach and review articles, IJERD Journal, How to publish your research paper, publish research paper, open access engineering journal, Engineering journal, Mathemetics journal, Physics journal, Chemistry journal, Computer Engineering, Computer Science journal, how to submit your paper, peer reviw journal, indexed journal, reserach and review articles, engineering journal, www.ijerd.com, research journals,
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Dynamic time wrapping (dtw), vector quantization(vq), linear predictive codin...
Dynamic time wrapping (dtw), vector quantization(vq), linear predictive codin...Tanjarul Islam Mishu
Dynamic Time Wrapping (DTW) is an algorithm for measuring similarity between two temporal sequences which may vary in time or speed. It allows sequences to be aligned non-linearly by warping the time axis, minimizing distance between them. DTW was originally used for automatic speech recognition but has since been applied to other time-series data mining tasks.Advanced Econometrics L5-6.pptx
This document provides an overview and schedule for an advanced econometrics training using Stata. The training covers topics such as hypothesis testing, multiple regression, time series models, panel data models, and difference-in-differences. It discusses assumptions of classical linear regression models and how to perform statistical inference using estimates of variance, standard error, and hypothesis testing. The document explains how to construct t-statistics and compare them to critical values from the t-distribution to test hypotheses about population parameters.
Design of ternary sequence using msaa
In the classical model, the fundamental building block is represented by bits exists in two states a 0 or a 1. Computations are done by logic gates on the bits to produce other bits. By increasing the number of bits, the complexity of problem and the time of computation increases. A quantum algorithm is a sequence of operations on a register to transform it into a state which when measured yields the desired result. This paper provides introduction to quantum computation by developing qubit, quantum gate and quantum circuits.
Lecture Notes: EEEC6440315 Communication Systems - Information Theory
- The document discusses Shannon's limit for information capacity in communication systems. It states that Shannon's limit relates the information capacity of a communications channel to bandwidth and signal-to-noise ratio.
- It then provides an example calculation of applying Shannon's limit formula to find the information capacity for a standard voice-band communications channel with a given bandwidth and signal-to-noise power ratio.
- The document also discusses linear block codes, including definitions of generator and parity check matrices that can characterize linear block codes. It provides an example of encoding a message using a generator matrix for a systematic linear block code.
Performance Analysis of Steepest Descent Decoding Algorithm for LDPC Codes
Among various hard decision based Bit Flipping (BF)
algorithms for decoding Low-Density Parity-Check (LDPC)
codes such as Weighted Bit Flipping (WBF), Improved
Reliability Ratio Weighted Bit Flipping (IRRWBF) etc., the
Steepest Descent Bit Flipping Algorithm (SDBF) achieves
better error performance. In this paper, the performance of
the Steepest Descent Algorithm for both single steepest
descent and Multi steepest descent modes is analysed. Also
the performance of IEEE 802.16e standard is analysed using
Steepest Descent Bit Flipping (SDBF) decoding algorithm.
SDBF requires fewer check node and variable node operations
compared to Sum Product Algorithm (SPA) and Min Sum
Algorithm (MSA). The SDBF achieves a coding gain of 0.1 ~
0.2 dB compared to Single-SDBF without requiring complex
log and exponential operations.
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Energy-Efficient LDPC Decoder using DVFS for binary sources
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A Systematic Approach To Probabilistic Pointer Analysis
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Welcome to International Journal of Engineering Research and Development (IJERD)
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International Journal of Engineering Research and Development (IJERD)
International Journal of Engineering Research and Development (IJERD)
Dynamic time wrapping (dtw), vector quantization(vq), linear predictive codin...
Dynamic time wrapping (dtw), vector quantization(vq), linear predictive codin...
Lecture Notes: EEEC6440315 Communication Systems - Information Theory
Lecture Notes: EEEC6440315 Communication Systems - Information Theory
Performance Analysis of Steepest Descent Decoding Algorithm for LDPC Codes
Performance Analysis of Steepest Descent Decoding Algorithm for LDPC Codes
More from matsushimalab
ma99992012id537
This document proposes a unified framework for approximating the optimal key estimation of stream ciphers using probabilistic inference. It formulates the key estimation problem as determining the secret key that maximizes the joint probability based on the observed keystream. An approximation algorithm called the sum-product algorithm is used to efficiently compute approximate marginal probabilities on a factor graph representing the cipher structure. Preprocessing techniques can reduce the complexity of the sum-product algorithm when applied to ciphers using linear feedback shift registers.
ma12012id536
This document analyzes the asymptotic properties of expected cumulative logarithmic loss in Bayesian estimation when models are nested and when there is misspecification. The main theorem states that if the true distribution does not belong to the model class, the asymptotic loss per symbol goes to the Kullback-Leibler divergence between the true and model distributions, rather than 0. If the true distribution does belong to the model class, the results reduce to previous studies. The proof is separated into two parts and relies on a lemma showing posterior concentration at the true model.
ma112011id535
This document proposes a linear programming (LP) based approach for solving maximum a posteriori (MAP) estimation problems on factor graphs that contain multiple-degree non-indicator functions. It presents an existing LP method for problems with single-degree functions, then introduces a transformation to handle multiple-degree functions by introducing auxiliary variables. This allows applying the existing LP method. As an example, it applies this to maximum likelihood decoding for the Gaussian multiple access channel. Simulation results demonstrate the LP approach decodes correctly with polynomial complexity.
ma52009id421
The document proposes a new method for document classification with small training data. It discusses previous methods that estimate parameters for prior distributions either using fixed values or estimating data. The new proposed method estimates parameters for prior distributions as a weighted combination of estimating data and training data. Experiments show the new method achieves higher accuracy than previous methods, especially with small training data sizes.
ma52009id420
The document proposes a method to calculate the theoretical throughput limit of type-I hybrid selective-repeat ARQ with a finite receiver buffer using Markov decision processes. The authors model the problem as an MDP and develop an algorithm to compute the maximum expected utility and throughput limit by applying dynamic programming. Simulation results show the throughput of previous methods approaches the proposed theoretical limit with increasing buffer size.
ma112006id337
The document proposes reducing the computational complexity of message passing algorithms like belief propagation (BP) and concave-convex procedure (CCCP) for multiuser detection in CDMA systems. It does this by changing the factor graph structure used to represent the detection problem from a fully connected graph (Factor Graph I) to a sparsely connected graph (Factor Graph II). Simulation results show the proposed CCCP detector for the new factor graph achieves near optimal performance with lower complexity than existing approaches.
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This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
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Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
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Apps Break Data
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ma92008id393
- 1. Asymptotic Property of Universal Lossless Coding for Independent Piecewise Identically Distributed Sources Tota Suko Toshiyasu Matsushima Shigeichi Hirasawa Waseda University, JAPAN
- 6. Definition of i.p.i.d. sources … 1st transition 2nd transition ( |T m | -1)th transition i.i.d. i.i.d. i.i.d. i.i.d. i.i.d. parameters transition at time . : a source symbol : a data sequence : a transition pattern : a set of transition times
- 7. Definition of i.p.i.d. sources the probability of a sequence … 1st transition 2nd transition ( |T m | -1)th transition i.i.d. i.i.d. i.i.d. i.i.d. i.i.d. parameters transition at time .
- 8. Definition of i.p.i.d. sources j th transition j +1 th transition length l j length l j +1 ・・・ ・・・ : the number of stationary segments ( number of transitions + 1 ) : the length of a stationary segment stationary segments
- 10. Previous researches Table. Restrictions for transition patterns We evaluate the Bayes codes under this condition. l j =O (log N ) this study : known :unknown [Shamir99] [Shamir00] [Merhav93] [Willems96] :unknown is constant
- 19. Outline of the proof B A
- 20. Outline of the proof Part A From Assumption 1 and law of large numbers, It does not depend on .
- 21. Outline of the proof Similarly, we have It does not depend on . Part B Therefor, the Teorem 1 is proved.