Download Digital Signal Processing and Applications by Dag Stranneby and William Walker (Auth.) PDF

By Dag Stranneby and William Walker (Auth.)

Content material:

, Pages ix-x
1 - Introduction

, Pages 1-39
2 - The analog—digital interface

, Pages 41-71
3 - Adaptive electronic systems

, Pages 73-93
4 - Non-linear applications

, Pages 95-130
5 - Spectral research and modulation

, Pages 131-158
6 - advent to Kalman filters

, Pages 159-177
7 - information compression

, Pages 179-207
8 - Error-correcting codes

, Pages 209-239
9 - electronic sign processors

, Pages 241-277
Appendix 1 - strategies to problems

, Pages 279-312
Appendix 2 - A MATLAB/Simulink primer

, Pages 313-340

, Pages 341-343

, Pages 345-349

, Pages 351-357

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Extra info for Digital Signal Processing and Applications

Sample text

Companding techniques are also used in miscellaneous noise reduction systems, for instance the DOLBY™ systems. 2 Digital-to-analog COnversion From now on we will only discuss systems using uniform quantization intervals. The task of the digital-to-analog converter (DAC) is to convert a numerical, commonly binary so-called "digital" value into an "analog" output signal. The DAC is subject to many requirements, such as offset, gain, linearity, monotonicity and settling time. 5) can be written as 2n m = Am where KFS is the full-scale (FS) output voltage of the DAC and the constant A corresponds to the output voltage step size for one least significant bit (LSB).

6 would be to use a constant input reference voltage £/ref and a set of resistors. In this way, the currents for the different branches would simply be obtained by h = -R~bi = 2 " - i - ' i f r - , * ' (2 4) - where Rj is the resistance of the resistor in the /-th branch being controlled by the /-th bit: bt being 1 or 0. The word length of the digital code is N and / = 0 is LSB. The total output current can then be expressed as the sum of the currents from the branches N-\ ,•=0 N-\ KN l ~ 1=0 , z Building such a DAC in practice would however cause some problems.

Non-uniform quantization is often used in systems where a compromise between word length, dynamic range and distortion at low signal levels has to be found. By using larger quantization steps for larger signal levels and smaller steps for weak signals, a good dynamic range can be obtained without causing serious distortion at low signal levels or requiring unreasonable word lengths (number of quantization steps). A digital telephone system may serve as an example where small signal levels are the most probable ones, thus causing the need for good resolution at low levels to keep distortion low.

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