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050221s1963 nyua f 001 eng d |
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|a AR-CdUBP
|b spa
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|a eng
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|a Harman, Willis W.
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|a Principles of the statistical theory of communication /
|c Willis W. Harman.
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| 260 |
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|a New York :
|b McGraw-Hill,
|c c1963
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| 300 |
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|a 291 p. :
|b il. ;
|c 23 cm.
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| 490 |
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|a McGraw-Hill electrical and electronic engineering series.
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| 504 |
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|a Indice: p. 287-291.
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| 504 |
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|a Bibliografía: p. 285-286.
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|a Chapter 1 Introduction. PART I: MATHEMATICAL REPRESENTATION OF SIGNALS. Chapter 2. Representation of nonrandom signals. Chapter 3. Representation of random signals. PART II: INFORMATION MEASUREMENT AND CHANNEL CAPACITY. Chapter 4. The concept of information measure. Chapter 5. The discrete channel. Chapter 6 The continusus channel. PART III: ANALYSIS WITH RANDOM SIGNALS AND NOISE. Chapter 7. Mathematical representations of random noise. Chapter 8. Analysis of linear systems. Chapter 9. Systems with nonlinear elements. PART IV: STATISTICAL DECISION-THEORY APPLICATIONS. Chapter 10. Introductory discussion of decision concepts. Chapter 11. Hypothesis testing (optimun detection of signals in noise). Chapter 12. Parameter estimation, with applications to signal reception and radar.
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| 650 |
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|a TEORIA DE LA INFORMACION
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| 653 |
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|a TELECOMUNICACIONES
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| 830 |
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|a McGraw-Hill electrical and electronic engineering series (Mc Graw-Hill)
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| 930 |
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|a TELECOMUNICACIONES
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| 931 |
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|a 09599
|b UBP
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|a 621.39
|b H227p
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|c 24984
|d 24984
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