New PDF release: A Student's Guide to Coding and Information Theory

By Stefan M. Moser

ISBN-10: 1107015839

ISBN-13: 9781107015838

ISBN-10: 1107601967

ISBN-13: 9781107601963

This easy-to-read consultant presents a concise advent to the engineering historical past of recent verbal exchange structures, from cell phones to info compression and garage. historical past arithmetic and particular engineering recommendations are stored to a minimal in order that just a simple wisdom of high-school arithmetic is required to appreciate the cloth coated. The authors start with many useful purposes in coding, together with the repetition code, the Hamming code and the Huffman code. They then clarify the corresponding info thought, from entropy and mutual details to channel potential and the knowledge transmission theorem. eventually, they supply insights into the connections among coding idea and different fields. Many labored examples are given in the course of the booklet, utilizing functional purposes to demonstrate theoretical definitions. workouts also are incorporated, permitting readers to double-check what they've got discovered and achieve glimpses into extra complicated issues, making this ideal for somebody who wishes a short creation to the topic

Show description

Read or Download A Student's Guide to Coding and Information Theory PDF

Best signal processing books

Read e-book online Multimedia Networking: From Theory to Practice PDF

This authoritative consultant is the 1st to supply a whole process layout point of view in keeping with current foreign criteria and state of the art networking and infrastructure applied sciences, from theoretical analyses to functional layout concerns. The 4 most crucial elements excited about a multimedia networking approach - facts compression, caliber of provider (QoS), conversation protocols, and potent electronic rights administration - are intensively addressed.

Weak Signals for Strategic Intelligence: Anticipation Tool - download pdf or read online

The expression ''We didn't see it coming! '' has frequently been heard in recent times from determination makers on the optimum degrees of the non-public and public sectors. but there have been truly early caution signs, yet they have been frequently missed as a result of an absence of applicable method. targeting the idea that of a susceptible sign, this booklet offers equipment for watching for difficulties and working with blind spots.

Download e-book for kindle: FPGA-based Implementation of Signal Processing Systems by Roger Woods, John McAllister, Gaye Lightbody, Ying Yi

A major operating source for engineers and researchers desirous about the layout, improvement, and implementation of sign processing systems

The final decade has obvious a speedy growth of using box programmable gate arrays (FPGAs) for quite a lot of purposes past conventional electronic sign processing (DSP) structures. Written by way of a staff of specialists operating on the cutting edge of FPGA learn and improvement, this moment version of FPGA-based Implementation of sign Processing structures has been commonly up to date and revised to mirror the most recent iterations of FPGA conception, purposes, and know-how. Written from a system-level point of view, it good points specialist discussions of up to date tools and instruments utilized in the layout, optimization and implementation of DSP structures utilizing programmable FPGA undefined. And it presents a wealth of functional insights—along with illustrative case experiences and well timed real-world examples—of serious difficulty to engineers operating within the layout and improvement of DSP platforms for radio, telecommunications, audio-visual, and safety purposes, in addition to bioinformatics, enormous facts purposes, and extra. within you can find updated insurance of:

FPGA strategies for giant info purposes, particularly as they practice to large info sets
The use of ARM processors in FPGAs and the move of FPGAs in the direction of heterogeneous computing platforms
The evolution of excessive point Synthesis tools—including new sections on Xilinx's HLS Vivado instrument stream and Altera's OpenCL approach
Developments in Graphical Processing devices (GPUs), that are swiftly exchanging extra conventional DSP systems
FPGA-based Implementation of sign Processing structures, second variation is an fundamental advisor for engineers and researchers fascinated by the layout and improvement of either conventional and state of the art facts and sign processing structures. Senior-level electric and desktop engineering graduates learning sign processing or electronic sign processing will also locate this quantity of significant curiosity.

Additional info for A Student's Guide to Coding and Information Theory

Sample text

E. a bijection, since if it were not a bijection, it would not be possible to recover the original data. On the other hand, because of the bijection, when the stored data stream x is corrupted, it is impossible to recover the original s. Therefore, we see that the protection process (henceforth we will refer to it as an encoding process) must be an injection, meaning x must have length larger than k, say n, so that when x is corrupted, there is a chance that s may be recovered by using the extra (n − k) bits we have used for storing extra information.

The use of R-S codes as a means of error correction for CDs was suggested by Jack van Lint (1932–2004) while he was employed at Philips Labs in 1979. Two consecutive R-S codes are used in serial in a CD. These two R-S codes operate in bytes (B) instead of bits (1 B = 8 bits). The first R-S code takes in 24 B of raw data and encodes them into a codeword of length 28 B. After this, another mechanism called interleaver would take 28 such encoded codewords, each 28 B long, and then permute the overall 282 = 784 B of data symbols.

The only difference between binary and usual additions is the case of 1 + 1. Usual addition would say 1 + 1 = 2. But since we are working with modulo2 addition, meaning the sum is taken as the remainder when divided by 2, the remainder of 2 divided by 2 equals 0, hence we have 1 + 1 = 0 in binary arithmetics. 2) 1 = 0 − 1. Further, it is interesting to note that the above equalities also hold if we replace “−” by “+”. Then we realize that, in binary, subtraction is the same as addition. This is because the remainder of −1 divided by 2 equals 1, meaning −1 is considered the same as 1 in binary.

Download PDF sample

A Student's Guide to Coding and Information Theory by Stefan M. Moser


by Jeff
4.3

Rated 4.64 of 5 – based on 3 votes