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Coding and Iterative Detection for Magnetic Recording Channels by Zining Wu (Eng
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eBay item number:395157007612
Item specifics
- Condition
- ISBN-13
- 9780792377177
- Book Title
- Coding and Iterative Detection for Magnetic Recording Channels
- ISBN
- 9780792377177
- Subject Area
- Computers, Technology & Engineering
- Publication Name
- Coding and Iterative Detection for Magnetic Recording Channels
- Publisher
- Springer
- Item Length
- 9.3 in
- Subject
- Information Theory, Signals & Signal Processing, Electrical, Acoustics & Sound
- Publication Year
- 2000
- Series
- The Springer International Series in Engineering and Computer Science Ser.
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Item Weight
- 33.5 Oz
- Item Width
- 6.1 in
- Number of Pages
- Xx, 152 Pages
About this product
Product Identifiers
Publisher
Springer
ISBN-10
0792377176
ISBN-13
9780792377177
eBay Product ID (ePID)
1792065
Product Key Features
Number of Pages
Xx, 152 Pages
Publication Name
Coding and Iterative Detection for Magnetic Recording Channels
Language
English
Publication Year
2000
Subject
Information Theory, Signals & Signal Processing, Electrical, Acoustics & Sound
Type
Textbook
Subject Area
Computers, Technology & Engineering
Series
The Springer International Series in Engineering and Computer Science Ser.
Format
Hardcover
Dimensions
Item Weight
33.5 Oz
Item Length
9.3 in
Item Width
6.1 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
99-049501
Dewey Edition
21
Series Volume Number
531
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
621.39/76
Table Of Content
1. Introduction to Magnetic Recording Channels.- 1. Magnetic Recoding Systems.- 2. Magnetic Recording Channel Model.- 3. Challenges in Read/Write Electronics Design.- 4. Read Channel Detectors.- 5. Outline of Book.- 2. Turbo Codes and Turbo Equalization.- 1. Introduction.- 2. Turbo Encoder and Coding Gain.- 3. Soft Iterative Decoding with BCJR Algorithm.- 4. Turbo Equalization for Magnetic Recording Channels.- 5. Summary.- APPENDIX 2.A Recursive Algorithms for ?'s and ?'s.- APPENDIX 2.B Approximation for the Log-Sum operation.- 3. Low-Density Parity-Check Codes.- 1. Introduction.- 2. Low-Density Parity-Check Codes.- 3. Iterative Detection and Belief Propagation.- 4. LDPC Codes for Magnetic Recording Channels.- 5. Summary and Discussion.- 4. Turbo Decision Aided Equalization.- 1. Decision Aided Equalization for Channel APP Detection.- 2. Implementation and Analysis of Turbo-DAE.- 3. Simulation Results.- 4. Turbo-DAE with Local BCJR.- 5. Summary and Conclusion.- APPENDIX 4.A APP Detection for Binary Markov Source with Finite Input Memory.- 1. Markov Source with Finite Input Memory.- 2. Modified BCJR Algorithm for Binary Markov Source with Finite Input Memory.- 5. Interleaved Parity Check Codes and Reduced Complexity Detection.- 1. Introduction.- 2. Error-events for the E2PR4 Channel.- 3. Interleaved Parity Check Codes.- 4. Reduced Complexity Detection for Interleaved Parity Check Codes.- 5. Performance of Interleaved Parity Check Codes.- 6. Summary and Conclusion.- 6. Interpolated Timing Recovery.- 1. Introduction.- 2. Conventional VCO-based Timing Recovery Loop.- 3. MMSE Interpolation Filter.- 4. FIR-ITR Loop Structure.- 5. Practical Issues.- 6. Simulation Results.- 7. Summary and Conclusion.- 7. Summary and Discussion.- 1. Speeding Turbo Decoding.- 2. TimingRecovery Schemes for Low SNR Channels.- 3. Turbo Decision Aided Equalization for Other Types of Channels.- References.
Synopsis
The advent of the internet age has produced enormous demand for in creased storage capacity and for the consequent increases in the amount of information that can be stored in a small space. While physical and media improvements have driven the majority of improvement in modern storage systems, signal processing and coding methods have increasing ly been used to augment those improvements. Run-length-limited codes and partial-response detection methods have come to be the norm in an industry that once rejected any sophistication in the read or write pro cessing circuits. VLSI advances now enable increasingly sophisticated signal processing methods for negligible cost and complexity, a trend sure to continue even as disk access speeds progress to billions of bits per second and terabits per square inch in the new millennium of the in formation age. This new book representing the Ph. D. dissertation work of Stanford's recent graduate Dr. Zining Wu is an up-to-date and fo cused review of the area that should be of value to those just starting in this area and as well those with considerable expertise. The use of saturation recording, i. e. the mandated restriction of two-level inputs, creates interesting twists on the use of communica tion/transmission methods in recording., The advent of the internet age has produced enormous demand for in- creased storage capacity and for the consequent increases in the amount of information that can be stored in a small space. While physical and media improvements have driven the majority of improvement in modern storage systems, signal processing and coding methods have increasing- ly been used to augment those improvements. Run-length-limited codes and partial-response detection methods have come to be the norm in an industry that once rejected any sophistication in the read or write pro- cessing circuits. VLSI advances now enable increasingly sophisticated signal processing methods for negligible cost and complexity, a trend sure to continue even as disk access speeds progress to billions of bits per second and terabits per square inch in the new millennium of the in- formation age. This new book representing the Ph. D. dissertation work of Stanford's recent graduate Dr. Zining Wu is an up-to-date and fo- cused review of the area that should be of value to those just starting in this area and as well those with considerable expertise. The use of saturation recording, i. e. the mandated restriction of two-level inputs, creates interesting twists on the use of communica- tion/transmission methods in recording.
LC Classification Number
TK1-9971
Item description from the seller
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