
Information theory, inference, and learning algorithms
1. Data. 2. Noisy-channel coding. 3. Further topics introduction theory. Probabilities and inference. 5. Neural networks. 6. Sparse graph codes. 7. Appendices.
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A practical guide to technical reports and presentations for scientists, engineers, and students
Chapter 1: General principles of technical communication. Chapter 2: Business memoranda and short reports. Chapter 3: Proposals. Chapter 4: Progress reports.
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Digital image processing : 4th ed.
1. Introduction. 2. Digital image fundamentals. 3. Intensity transformations and spatial filtering. 4. Filtering in the frequency domain. 5. Image restoration and reconstruction. 6. Wavelet and other image transforms. 7. Color image processing. 8. Image compression and watermarking. 9. ...
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Principles and applications of electrical engineering : 6th ed.
Part 1: Circuits. Part 2: Electronics. Part 3: Communication systems. Part 4: Electromechanics.
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Principles of instrumental analysis : 7th ed.
Section 1: Measurement basic. Section 2: Spectroscopy. Section 3: Molecular spectroscopy. Section 4: Electroanalytical chemistry. Section 5: Separation methods. Section 6: Miscellaneous methods.
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