The science and engineer's guide to digital signal by Steven W. Smith

By Steven W. Smith

This e-book used to be written for scientists and engineers in a wide selection of fields: physics,bioengineering, geology, oceanography, mechanical and electric engineering, to namejust a number of. The target is to give sensible innovations whereas heading off the boundaries ofdetailed arithmetic and summary idea. to accomplish this objective, 3 techniques wereemployed in scripting this booklet:

Show description

Read Online or Download The science and engineer's guide to digital signal processing PDF

Similar microprocessors & system design books

Designing Embedded Systems with PIC Microcontrollers: Principles and Applications

This booklet is a hands-on advent to the foundations and perform of embedded procedure layout utilizing the PIC microcontroller. choked with important examples and illustrations, it offers an in-depth therapy of microcontroller layout, programming in either meeting language and C, and contours complicated subject matters similar to networking and real-time working structures.

Logic and Language Models for Computer Science

This article makes in-depth explorations of a large diversity of theoretical themes in desktop technology. It plunges into the purposes of the summary recommendations on the way to confront and handle the skepticism of readers, and instill in them an appreciation for the usefulness of conception. A two-part presentation integrates good judgment and formal language—both with purposes.

Extra resources for The science and engineer's guide to digital signal processing

Example text

Second, it is often desirable to recalculate the mean and standard deviation as new samples are acquired and added to the signal. We will call this type of calculation: running statistics. While the method of Eqs. 2-1 and 2-2 can be used for running statistics, it requires that all of the samples be involved in each new calculation. This is a very inefficient use of computational power and memory. A solution to these problems can be found by manipulating Eqs. 2-1 and 2-2 to provide another equation for calculating the standard deviation: EQUATION 2-3 Calculation of the standard deviation using running statistics.

Take each number generated by this equation, multiply it by the desired standard deviation, and add the desired mean. Chapter 2- Statistics, Probability and Noise 31 12 11 pdf a. 5, Ú = 1/û12 10 9 8 7 6 5 4 3 2 1 0 0 16 32 48 64 80 Sample number 96 112 128 127 12 11 pdf b. 0, Ú = 1/û6 10 9 8 7 6 5 4 3 2 1 0 0 16 32 48 64 80 Sample number 96 112 128 127 12 11 pdf c. X = RND+RND+ ... 0, Ú = 1 10 9 8 7 6 5 4 3 2 1 0 0 16 32 48 64 80 Sample number 96 112 128 127 FIGURE 2-10 Converting a uniform distribution to a Gaussian distribution.

In (d), the frequency of the analog sine wave is greater than the Nyquist frequency (one-half of the sampling rate). This results in aliasing, where the frequency of the sampled data is different from the frequency of the continuous signal. Since aliasing has corrupted the information, the original signal cannot be reconstructed from the samples. Two terms are widely used when discussing the sampling theorem: the Nyquist frequency and the Nyquist rate. Unfortunately, their meaning is not standardized.

Download PDF sample

Rated 4.56 of 5 – based on 24 votes