Signal Processing First

ISBN-10: 0130909998

ISBN-13: 9780130909992

Edition: 2nd 2003

List price: $219.60 Buy it from $46.97
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Description:

This provides an introduction to fundamental concepts, especially discrete time systems, for engineering students. It can be used as a self-teaching tool for anyone eager to discover more about DSP applications, multi-media signals, and MATLAB.
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Book details

List price: $219.60
Edition: 2nd
Copyright year: 2003
Publisher: Prentice Hall PTR
Publication date: 2/26/2003
Binding: Mixed Media
Pages: 489
Size: 8.75" wide x 9.75" long x 1.00" tall
Weight: 2.728
Language: English

Introduction
Mathematical Representation of Signals
Mathematical Representation of Systems
Thinking about Systems
Sinusoids
Tuning Fork Experiment
Review of Sine and Cosine Functions
Sinusoidal Signals
Sampling and Plotting Sinusoids
Complex Exponentials and Phasors
Phasor Addition
Physics of the Tuning Fork
Time Signals: More Than Formulas
Spectrum Representation
The Spectrum of a Sum of Sinusoids
Beat Notes
Periodic Waveforms
More Periodic Signals
Fourier Series Analysis and Synthesis
Time-Frequency Spectrum
Frequency Modulation: Chirp Signals
Sampling and Aliasing
Sampling
Spectrum View of Sampling and Reconstruction
Strobe Demonstration
Discrete-to-Continuous Conversion
The Sampling Theorem
FIR Filters
Discrete-Time Systems
The Running Average Filter
The General FIR Filter
Implementation of FIR Filters
Linear Time-Invariant (LTI) Systems
Convolution and LTI Systems
Cascaded LTI Systems
Example of FIR Filtering
Frequency Response of FIR Filters
Sinusoidal Response of FIR Systems
Superposition and the Frequency Response
Steady State and Transient Response
Properties of the Frequency Response
Graphical Representation of the Frequency Response
Cascaded LTI Systems
Running-Average Filtering
Filtering Sampled Continuous-Time Signals
z-Transforms
Definition of the z-Transform
The z-Transform and Linear Systems
Properties of the z-Transform
The z-Transform as an Operator
Convolution and the z-Transform
Relationship between the z -Domain and the <F128>w-Domain
Useful Filters
Practical Bandpass Filter Design
Properties of Linear Phase Filters
IIR Filters
The General IIR Difference Equation
Time-Domain Response
System Function of an IIR Filter
Poles and Zeros
Frequency Response of an IIR Filter
Three Domains
The Inverse z-Transform and Some Applications
Steady-State Response and Stability
Second-Order Filters
Frequency Response of Second-Order IIR Filter
Example of an IIR Lowpass Filter
Continuous-Time Signals and LTI Systems
Continuous-Time Signals
The Unit Impulse
Continuous-Time Systems
Linear Time-Invariant Systems
Impulse Responses of Basic LTI Systems
Convolution of Impulses
Evaluating Convolution Integrals
Properties of LTI Systems
Using Convolution to Remove Multipath Distortion
The Frequency Response
The Frequency Response Function for LTI Systems
Response to Real Sinusoidal Signals
Ideal Filters
Application of Ideal Filters
Time-Domain or Frequency-Domain?
Continuous-Time Fourier Transform
Definition of the Fourier Transform
The Fourier Transform and the Spectrum
Existence and Convergence of the Fourier Transform
Examples of Fourier Transform Pairs
Properties of Fourier Transform Pairs
The Convolution Property
Basic LTI Systems
The Multiplication Property
Table of Fourier Transform Properties and Pairs
Using the Fourier Transform for Multipath Analysis
Filtering, Modulation, and Sampling
Linear Time-Invariant Systems
Sinewave Amplitude Modulation
Sampling and Reconstruction
Computing the Spectrum
Finite Fourier Sum
Too Many Fourier Transforms? Time-windowing
Analysis of a Sum of
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