Understanding Information TransmissionJohn Wiley & Sons, 2006 M02 17 - 320 páginas Understanding Information Transmission introduces you to the entire field of information technology. In this consumer handbook and introductory student resource, seven chapters span the gamut of the field—the nature, storage, transmission, networking, and protection of information. In addition to the science and technology, this book brings the subject alive by presenting the amazing history of information technology, profiling incredible inventions and fascinating inventors, and their dramatic impact on society. Features include problem sets, key points, suggested reading, review appendices, and a full chapter on mathematical methods. Private and public funding of information technology continues to grow at staggering rates. Learn what’s behind this race to be the biggest, brightest, and fastest in the field with Understanding Information Transmission. |
Contenido
1 | |
2 Mathematical Methods of Information Transmission Why Sinusoids? | 30 |
3 Information Sources What is Out There to be Sent? | 77 |
4 Transmission Methods How is Information Sent? | 105 |
5 Information Theory and Coding What did Shannon Promise? | 150 |
6 Cryptology FUBSWRORJB?? | 211 |
7 Communication Networks Lets Get Connected | 241 |
Appendix A Complex Numbers | 276 |
Appendix B Sinusoids and Circuit Theory | 281 |
Appendix C Probability Theory A Primer | 297 |
306 | |
About the Authors | 312 |
Otras ediciones - Ver todas
Understanding Information Transmission John B. Anderson,Rolf Johnnesson Sin vista previa disponible - 2006 |
Términos y frases comunes
¼ ð algorithm AM-DSB amplitude amplitude modulation analog bandwidth binary digits binary symmetric channel bit rate broadcasting called carrier channel channel coding Chapter cipher ciphertext circuit codeword communication complex number convolutional convolutional codes cryptosystem discrete random variable dlog dt ¼ electrical electronic encoder encrypted energy engineering error example ffiffiffiffiffi fiber follows Fourier bandwidth Fourier transform frequency function Hamming code Huffman code IEEE impulse response impulse response h(t information transmission input x(t Internet linear LTI system mathematical method mobile node noise obtain outcomes output y(t packets plaintext Pr(A probability pulse QPSK radio random variable ratio receiver sample scheme Shannon shown in Figure signal simply sinusoid spectrum speech switching symbols telegraph telephone television theorem theory time-invariant transmitted uncertainty Vernam cipher voltage waveform zero