Filter Design for Signal Processing   using MATLAB and Mathematica M. D. Lutovac, D. V. Tosic, B. L. Evans Prentice Hall, ISBN 0-201-36130-2 PHEI, translated into Chinese ISBN 7-5053-8710-3

Lecture notes

• Review Signals: Lecture01.zip
Continuous or analog signals,
Discrete-time signals,
Basic analog signals,
Basic discrete signals,
Quantized signals,
Digital signals,
Causal signals,
Random signals,
Representation of signals in MATLAB.
 
• Review Systems: Lecture02.zip
Definition of a system,
Block diagram,
System properties,
Linear time-invariant (LTI) system,
Response of LTI systems,
Convolution, MATLAB exercises.
 
• Laplace transform and z transform: Lecture03.zip
Definition and concept of transforms,
Laplace transform,
Z transform,
Transfer function,
Analysis of systems by transform method,
Example analysis.
 
• Fourier series, transform, and FFT: Lecture04.zip
Fourier series,
Fourier transform, FFT,
Examples, MATLAB fft, MATLAB freqz.
 
• System transfer function, poles and zeros, pole-zero pairing: Lecture05.zip
Transfer function in s domain,
Transfer function in z domain,
Pole-zero-gain representation,
Examples, MATLAB: freqs, roots, freqz, zplane, tf2pzk, tf2sos.
 
• Specification of an analog filter: Lecture06.zip
Analog filter specification,
Analog filter design steps,
Analog filter classification,
Sensitivity,
Optimum cascading sequence,
Examples, MATLAB: cheb1ord, cheb1ap.
 
• Design of an analog filter: Lecture07.zip
Specification,
Step 1: Approximation - Select Chebyshev Type I,
Step 2: Realization - Cascade of programmable biquads,
Step 3: Study of imperfections - Sensitivity analysis,
Redo design steps,
Step 1: Approximation, Step 2: Realization, Step 3: Study of imperfections, Step 4: Implementation,
MATLAB script Lecture07design.m.
 
• Implementation with programmable analog chips: Lecture07anadigm.zip
   
• Classical analog filter design: Op amp and RLC realizations: Lecture08.zip
Classification of analog filters, Active RC filters,
Low Q-, Medium Q-, High Q-factor filters, Album of op amp RC biquads,
Example biquad design, MATLAB script Lecture08lplq.m.
 
• Classical analog filter design: MATLAB examples of op amp RC filter realizations: Lecture09.zip
Realization procedure,
Example lowpass filter, MATLAB script Lecture09ChebLP.m,
Example bandpass filter, MATLAB script Lecture09ChebBP.m,
Example highpass filter, MATLAB script Lecture09ChebHP.m,
Example general purpose biquad, MATLAB script Lecture09GP.m.
 
• Classical analog filter design: RLC realizations: Lecture10.zip
Basic RLC realizations,
Example singly terminated ladder realization with zeros at the origin,
Example singly terminated ladder realization with complex zeros,
MATLAB script Lecture10a.m, MATLAB script Lecture10b.m.
 
• Advanced analog filter design using Matlab: Lecture11.zip
Drawback of the classic design,
Advanced design paradigm,
AFDesign toolbox, AFDSpace toolbox,
Example design, MATLAB script Lecture11.m.
 
• AFDesign: AFDesignPPT.zip
AFDesign toolbox: Advanced analog filter design introduces straightforward procedures to map the filter specification into a design space, that is, a set of ranges for parameters that we use in the filter design. We search this design space for the optimum solution according to given criteria, such as minimal Q-factor. AFDesign23.zip
AFDSpace.ppt Advanced Filter Design Space (AFDSpace) is a MATLAB toolbox which visualizes the multidimensional space of lowpass elliptic analog filter design parameters: the filter order, ripple factor, selectivity factor, and actual passband edge frequency. AFDSpace11.zip
 
• Specification of an analog filter - Design space: Lecture12.zip
Importance of analog filter specification,
Ways in presenting the specification,
Basic filter functions: frequency response, attenuation, gain, characteristic function ...,
Prototype elliptic approximation,
Elliptic design parameters, Design space,
MATLAB design example Lecture12.m.
 
• Digital filters - FIR and IIR structures: Lecture13.zip
Review: Discrete-time system, Digital system, LTI system, Impulse response,
Definition of FIR and IIR systems, FIR and IIR structures,
MATLAB examples, FDAtool design example.
Lecture13.ppt
 
• Classical digital filter design: Lecture14.zip
Specification,
Step 1: Approximation - Select Chebyshev Type I,
Step 2: Realization - Cascade of biquads,
Step 3: Study of imperfections - Quantizations,
Redo design steps,
Step 1: Approximation, Step 2: Realization, Step 3: Study of imperfections, Step 4: Implementation,
MATLAB FDAtool documents.
Lecture14.ppt
 
• Classical digital filter design - Classification: Lecture15.zip
What is digital filter?
Classic digital filter design,
Digital filter classification,
Decomposition of transfer function,
Transfer function types,
Classification of realizations,
Example design and comparison of realizations.
 
• Advanced digital filter design: Lecture16.zip
Advanced design paradigm,
Drawback of the classic design,
AFDesign toolbox,
Example design,
MATLAB script Lecture16.m
 
• Finite precision effects: Lecture17.zip
Finite wordlength effects,
Coefficient quantization,
Realizations v. s. quantization,
Pole location for quantized coefficients,
Overflow arithmetic operations,
Limit cycles and overflow oscillations,
Dead band effect,
Signal quantization error,
Roundoff noise,
MATLAB examples
 
• FIR filter design: Lecture18.zip
FIR filters,
Design techniques,
FIR filter design using MATLAB Filter Design Toolbox,
 
• DrawFilt - MATLAB toolbox for creating schematics of filters and systems: DrawFiltPPT.zip
By mouse point-and-click you draw schematics in MATLAB figure windows Schematics are saved as M-files that can be called as standalone MATLAB functions. Use these functions in your MATLAB scripts to illustrate or document the filter realization on which you work.
Df28.zip
 
• SchematicSolver
About SchematicSolver
Browser Index
Getting Started
Introduction:
What is SchematicSolver?
Required User Background
Technical Support
Manual Conventions
Teams Up with Other Mathematica Applications
Quick Tour of SchematicSolver
System Representation:
Basic Definitions
Loading SchematicSolver
Block Diagrams
Discrete Elements
Nonlinear Discrete Elements
Continuous-Time Elements
Drawing Options for Elements
Showing Schematic of Systems
Check Syntax of Schematic Specification
Discrete Signals
Fourier Transform of Discrete Signals
Solving Systems:
Continuous-Time Systems
Discrete-Time Systems
Systems with Unconnected Inputs
Combining Unconnected Systems
Names for System Variables and Signals
Solving Nonlinear Discrete-Time Systems
Examples of Solving Systems:
Continuous-Time Systems
Symbolic Optimization of a Continuous-Time System
Design of a Continuous-Time System from the Step Response
Automated Drawing and Solving of General Systems
Discrete-Time Systems
Solving Large Systems:
Combining Schematics
Transfer Function
Frequency Response
Implementation of Discrete Systems:
Schematic of Discrete System
Check Schematic Specification
Generate Implementation
Processing Sample by Sample
Processing Sequences
Simulation of Discrete System
Test Implementation with DiscreteSystemProcessingSISO
Implementation Using Palettes
Simulation Using Palettes
Benefits of SchematicSolver
Nonlinear Discrete System Implementation:
Nonlinear Algebraic Function Element
Nonlinear Modulator Element
Symbolic Solving Nonlinear System
Examples of Discrete System Implementation:
Adaptive LMS System
Automatic Gain Control
Quadrature Amplitude Modulation
Square-Law Envelope Detector
Nonlinear System with Hysteresis
High-Speed Recursive Filters
Hilbert Transformer:
Discrete Analytic Signal
Hilbert Transformer
Hilbert Transformer in Quadrature Amplitude Modulation
Multirate Systems:
What are Multirate systems?
Decimation
Interpolation
Downsampling and Upsampling
Spectra of Downsampled Signals
Decimation FIR Filter
Polyphase Decimation FIR Filter
Spectra of Decimated Signals
Efficient Decimation FIR Filter
Implementation of Efficient Decimation
Spectra of Upsampled Signals and Signal Reconstruction
Efficient Interpolation FIR Filter
Implementation of Efficient Interpolation
Symbolic Multirate Processing
Hierarchical Systems:
Draw Subschematic of Composite System
Draw and Simulate Composite System
Implementation of Hierarchical System
Palettes for Drawing and Solving Systems:
Opening Palettes
Contents of Palettes
Using Palettes
Draw Single-Node Elements Using Palettes
Draw Two-Node Elements Using Palettes
Draw Adder and Modulator Using Palettes
Draw Polyline Element Using Palettes
Editing Schematic Specification Using Palettes
Solving Linear Systems Using Palettes
Simulating and Implementing Systems Using Palettes
Setting Element Drawing Options
SettingShowSchematic Drawing Options
SettingPlotRange
Simultaneous Drawing of Combined Schematics
Draw Large Schematics Using PlotRange
Draw Large Schematics with Repeated Subschematics
Automated Drawing of Systems with Repeated Subschematics
Save and Load Schematic Specification
Predefined Schematics
Reference Guide:
List of SchematicSolver Functions
Palettes
Showing Schematics and Schematic Elements
Solving Continuous Systems
Solving Discrete Systems
Utilities
Implementing Discrete Systems
Album of Schematics
Figures in SchematicSolver
Processing with SchematicSolver:
Drawing and Solving Systems
Compute Impulse Response with SchematicSolver
Symbolic Impulse Response with SchematicSolver
Processing Signals with SchematicSolver
Block Processing with Initial Conditions
Processing Signals with Noise
Signal Spectra
Processing for Given Transfer Functions
Post-Processing with Mathematica Built-in Functions:
Drawing and Solving Systems with SchematicSolver
Processing Using Built-in Functions
Post-Processing Using Control System Professional:
Drawing and Solving Systems Using SchematicSolver
Processing Systems Using Control System Professional
Drawing and Solving State-Space Models with SchematicSolver
Processing State-Space Models with Control System Professional
Drawing and Solving 1-Input 2-Output Systems with SchematicSolver
Processing 1-Input 2-Output Systems with Control System Professional
Discrete-Time Models of Continuous-Time Systems
Simplifying Realizations with SchematicSolver
Drawing and Solving 2-Input 1-Output Systems with SchematicSolver
Processing 2-Input 1-Output Systems with Control System Professional
Deriving State-Space Equations with SchematicSolver
Step-by-Step Procedure for Deriving State-Space Equations
Post-Processing Using Signals and Systems Pack:
Drawing and Solving Systems with SchematicSolver
Processing Systems with Signals and Systems Pack
Bibliography
Index
Contents

 

Filter Design for Signal Processing   using MATLAB and Mathematica M. D. Lutovac, D. V. Tosic, B. L. Evans Prentice Hall, ISBN 0-201-36130-2 PHEI, translated into Chinese ISBN 7-5053-8710-3 Simplified Chinese edition ©2004 authorized for sale only in the Peoples's Republic of China

Last updated May 09, 2005