Bandpass Sampling (2B) Young Won Lim 3/27/12

Similar documents
Undersampling (2B) Young Won Lim 4/4/12

DFT Frequency (9A) Each Row of the DFT Matrix. Young Won Lim 7/31/10

General CORDIC Description (1A)

Up-Sampling (5B) Young Won Lim 11/15/12

Down-Sampling (4B) Young Won Lim 10/25/12

Down-Sampling (4B) Young Won Lim 11/15/12

Fourier Analysis Overview (0A)

Digital Signal Octave Codes (0A)

Digital Signal Octave Codes (0A)

Digital Signal Octave Codes (0A)

Digital Signal Octave Codes (0A)

Digital Signal Octave Codes (0A)

Digital Signal Octave Codes (0A)

CT Rectangular Function Pairs (5B)

Fourier Analysis Overview (0A)

Fourier Analysis Overview (0B)

Signal Functions (0B)

Discrete Time Rect Function(4B)

Discrete Time Rect Function(4B)

Capacitor Young Won Lim 06/22/2017

Expected Value (10D) Young Won Lim 6/12/17

Capacitor in an AC circuit

Group & Phase Velocities (2A)

Higher Order ODE's (3A) Young Won Lim 12/27/15

Propagating Wave (1B)

Capacitor and Inductor

Capacitor and Inductor

Higher Order ODE's (3A) Young Won Lim 7/7/14

Phasor Young Won Lim 05/19/2015

Group Delay and Phase Delay (1A) Young Won Lim 7/19/12

Matrix Transformation (2A) Young Won Lim 11/10/12

General Vector Space (2A) Young Won Lim 11/4/12

Relations (3A) Young Won Lim 3/27/18

Matrix Transformation (2A) Young Won Lim 11/9/12

CLTI Differential Equations (3A) Young Won Lim 6/4/15

Group Velocity and Phase Velocity (1A) Young Won Lim 5/26/12

Root Locus (2A) Young Won Lim 10/15/14

Background Trigonmetry (2A) Young Won Lim 5/5/15

Utility Functions Octave Codes (0A) Young Won Lim 1/24/18

DFT Octave Codes (0B) Young Won Lim 4/15/17

Higher Order ODE's (3A) Young Won Lim 7/8/14

Introduction to ODE's (0A) Young Won Lim 3/9/15

Separable Equations (1A) Young Won Lim 3/24/15

FFT Octave Codes (1B) Young Won Lim 7/6/17

Detect Sensor (6B) Eddy Current Sensor. Young Won Lim 11/19/09

Complex Trigonometric and Hyperbolic Functions (7A)

CT Correlation (2A) Young Won Lim 9/9/14

Higher Order ODE's, (3A)

Background LTI Systems (4A) Young Won Lim 4/20/15

CLTI System Response (4A) Young Won Lim 4/11/15

Dispersion (3A) 1-D Dispersion. Young W. Lim 10/15/13

Capacitor in an AC circuit

Audio Signal Generation. Young Won Lim 1/29/18

Capacitor in an AC circuit

Magnetic Sensor (3B) Magnetism Hall Effect AMR Effect GMR Effect. Young Won Lim 9/23/09

Spectra (2A) Young Won Lim 11/8/12

Complex Series (3A) Young Won Lim 8/17/13

Line Integrals (4A) Line Integral Path Independence. Young Won Lim 10/22/12

The Growth of Functions (2A) Young Won Lim 4/6/18

Capacitor in an AC circuit

ODE Background: Differential (1A) Young Won Lim 12/29/15

Hilbert Inner Product Space (2B) Young Won Lim 2/7/12

Capacitor in an AC circuit

Capacitor in an AC circuit

Audio Signal Generation. Young Won Lim 2/2/18

Capacitor in an AC circuit

Bayes Theorem (10B) Young Won Lim 6/3/17

Signal Processing. Young Won Lim 2/20/18

Definitions of the Laplace Transform (1A) Young Won Lim 1/31/15

Surface Integrals (6A)

Capacitors in an AC circuit

Linear Equations with Constant Coefficients (2A) Young Won Lim 4/13/15

General Vector Space (3A) Young Won Lim 11/19/12

Introduction to ODE's (0P) Young Won Lim 12/27/14

Audio Signal Generation. Young Won Lim 2/2/18

Line Integrals (4A) Line Integral Path Independence. Young Won Lim 11/2/12

Sequential Circuit Timing. Young Won Lim 11/6/15

Signals and Spectra (1A) Young Won Lim 11/26/12

Background ODEs (2A) Young Won Lim 3/7/15

FSM Examples. Young Won Lim 11/6/15

Bayes Theorem (4A) Young Won Lim 3/5/18

Differentiation Rules (2A) Young Won Lim 1/30/16

Background Complex Analysis (1A) Young Won Lim 9/2/14

Hamiltonian Cycle (3A) Young Won Lim 5/5/18

Signal Processing. Young Won Lim 2/22/18

Complex Functions (1A) Young Won Lim 2/22/14

Implication (6A) Young Won Lim 3/17/18

Implication (6A) Young Won Lim 3/12/18

Differentiation Rules (2A) Young Won Lim 2/22/16

Second Order ODE's (2A) Young Won Lim 5/5/15

Hyperbolic Functions (1A)

Surface Integrals (6A)

Probability (10A) Young Won Lim 6/12/17

Bayes Decision Rule and Naïve Bayes Classifier

Propositional Logic Resolution (6A) Young W. Lim 12/12/16

Resolution (7A) Young Won Lim 4/21/18

Propositional Logic Logical Implication (4A) Young W. Lim 4/11/17

Propositional Logic Resolution (6A) Young W. Lim 12/31/16

Least Squares Fitting of Data

Intelligent Systems: Reasoning and Recognition. Perceptrons and Support Vector Machines

Transcription:

andpass Sapling (2)

Copyright (c) 2009-2012 Young W. Li. Perission is granted to copy, distribute and/or odify this docuent under the ters of the GNU Free Docuentation License, Version 1.2 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no ack-cover Texts. A copy of the license is included in the section entitled "GNU Free Docuentation License". Please send corrections (or suggestions) to youngwli@hotail.co. This docuent was produced by using OpenOffice and Octave.

and-liited Signal = 5 MHz = 5 MHz = 5 MHz = 5 MHz MHz MHz 22.5 20 17.5 17.5 20 22.5 22.5 20 17.5 17.5 20 22.5 irror Lowpass Sapling = 5 MHz = 5 MHz andpass Sapling IF filtering Haronic Sapling Sub-Nyquist Sapling MHz 22.5 20 17.5 17.5 20 22.5 2 andpass Sapling 3

Low-pass Signal Sapling = 5 MHz = 5 MHz 22.5 20 17.5 17.5 20 22.5 MHz 22.5 17.5 17.5 22.5 MHz Nyquist Criterion + 2 andpass Sapling 4

and-pass Signal Sapling = 5 MHz = 5 MHz 22.5 20 17.5 17.5 20 22.5 MHz 22.5 20 17.5 17.5 20 22.5 MHz irror andpass Sapling IF filtering Haronic Sapling Sub-Nyquist Sapling 22.5 20 17.5 17.5 20 22.5 MHz Nyquist Criterion 2 22.5 20 17.5 17.5 20 22.5 MHz 2 andpass Sapling 5

Sapling Frequency (1) Assue there are ultiples of Given an integer = Max condition can be decreased according to the following condition without introducing aliasing probles + = (+1) Min condition Given and-pass Signal is characterized by andwidth Carrier Frequency + /2 + + 1 2 andpass Sapling 6

Sapling Frequency (2) + + 1 + ( + 1) Given and-pass Signal is characterized by andwidth 2 ( + 1) 2 f L Carrier Frequency Noralization by = + /2 f L = /2 Highest frequency Lowest frequency + + /2 /2 + f L f L 2 andpass Sapling 7

Exaple =6 (1) + + 1 When = 6 /2 + in + 7 ax 6 6, ax ax = 6 7, in in = + 7 2 andpass Sapling 8

Exaple =6 (2) = 6 ax = 6 /2 1 2 3 4 5 6 MHz 1 < 6 1 > 6 /2 1 2 3 4 5 6 MHz = + 7 in + = 7 + /2 1 2 3 4 5 6 7 MHz 2 andpass Sapling 9

Exaple =6 (3) = 6 ax = 6 /2 MHz < 6 MHz = + 7 in + = 7 MHz + /2 2 andpass Sapling 10

Miniu Plot (1) + + 1 X-Y Plot + /2 = R X highest signal frequency bandwidth Y,in This plot shows in noralized by, for the given bandpass signal that is characterized by R and the given paraeter + ( + 1) =, in iniu sapling rate bandwidth Y Characterized by andwidth R = X Carrier Frequency = + /2 2 andpass Sapling 11

Miniu Plot (2) = + /2 = 1 R = / = 1 X-Y Plot = + /2 = 2 R = / = 2,in Y This plot shows in noralized by, for the given bandpass signal that is characterized by R and the given paraeter = + /2 = 3 R = / = 3 X Characterized by andwidth R = Carrier Frequency = + /2 2 andpass Sapling 12

Miniu Plot (3) + + 1 g (, R) = 2 (+1) = 2 (+1) R = X + /2 = R = 0 = 1 g (0, R) = 2 R g (1, R) = R slope = 2 slope = 1, in = Y + ( + 1) = 2 ( + 1) = 2 = 3 g (2, R) = 2 R 3 g (3, R) = 1 R 2 slope = 2/3 slope = 1/2 g (, R) = 4 g (4, R) = 2 5 R slope = 2/5 + = 5 g (5, R) = 1 3 R slope = 1/3 = 6 g (6, R) = 2 7 R slope = 2/7 = 7 g (7, R) = 1 4 R slope = 1/ 4 f L f L = 8 g (8, R) = 2 9 R slope = 2/9 2 andpass Sapling 13

Miniu Plot (4) g (, R) = 2 (+1) = 2 (+1) R R = +1 g (, +1) = 2 = 0 g (0, R) = 2 R slope = 2 = 0 R = 1 g (0,1) = 2 = 1 g (1, R) = R slope = 1 = 1 R = 2 g (1, 2) = 2 = 2 g (2, R) = 2 3 R slope = 2/3 = 2 R = 3 g (2, 3) = 2 = 3 g (3, R) = 1 2 R slope = 1/2 = 3 R = 4 g (3, 4) = 2 = 4 g (4, R) = 2 5 R slope = 2/5 = 4 R = 5 g (4,5) = 2 = 5 g (5, R) = 1 3 R slope = 1/3 = 5 R = 6 g (5,6) = 2 = 6 g (6, R) = 2 7 R slope = 2/7 = 6 R = 7 g (6,7) = 2 = 7 g (7, R) = 1 4 R slope = 1/ 4 = 7 R = 8 g (7,8) = 2 = 8 g (8, R) = 2 9 R slope = 2/9 = 8 R = 9 g (8,9) = 2 2 andpass Sapling 14

Miniu Plot (5),in k = 1 ( = 0) k = 2 ( = 1) k = 3 ( = 2) 2 2 3 + + 1 4 slope = 2 + 1 =k + k k 1 3 slope = 1 slope = 2/3 + /2 = R 2 highest signal frequency bandwidth 1 + ( + 1) =, in = g (, R) iniu sapling rate bandwidth 1 2 3 4 5 6 R = 2 andpass Sapling 15

Min, Max Condition on (1) + (+1) /2 2 (+1) 2 f L + + 1 =k ax represents how any are in 2 in ax, ax ax = = 2 f L f L + f L in k, in k represents how any are in 2 + in in in = + k = 2 k + 2 andpass Sapling 16

Min, Max Condition on (2) + + 1 /2 + k k 1 + + 1 =k ax in ax, ax 2 k 2 f L f L + f L in k, in + k = 2 k = 3 k = 4 2 f L 2 3 f L 1 2 2 3 f L = 1 = 2 = 3 2 andpass Sapling 17

Exaple k=1 (=0) k = 1 ( = 0) = + /2 = 1 R = / = 1,in,ax = 2 k = 2 = 2( ) (k 1) = + R [1, 2] (, ) = (2, 4) k = 1 ( = 0) = + /2 = 1.5 R = / = 1.5,in = 2 k = 3 slope = 2,ax = 2( ) (k 1) = + (, ) = (1, 2) k = 1 ( = 0) = + /2 = 2 R = / = 2,in = 2 k = 4,ax = 2( ) (k 1) = + 2 andpass Sapling 18

Exaple k=2 (=1) k = 2 ( = 1) k = 2 ( = 1) = + /2 = 2 = + /2 = 2.5 R = / = 2,in,ax = 2 k = 2 = 2( ) (k 1) = 2 R = / = 2.5,in,ax = 2 k = 2.5 = 2( ) (k 1) = 3 R [2, 3] (3, 4) (, ) = (3, 3) slope = 1 (, ) = (2, 2) k = 2 ( = 1) = + /2 = 3 R = / = 3,in = 2 k = 3,ax = 2( ) (k 1) = 4 2 andpass Sapling 19

Exaple k=3 (=2) k = 3 ( = 2) = + /2 = 3 R = / = 3 R [3, 4],in,ax = 2 k = 2 = 2( ) (k 1) = 2 k = 3 ( = 2) = + /2 = 3.5 R = / = 3.5,in = 2 k = 7 3 (3, 4) (, ) = (4, 8 3 ),ax = 2( ) (k 1) = 3 slope = 2 3 (, ) = (3, 2) k = 3 ( = 2) = + /2 = 4 R = / = 4,in = 2 k = 8 3,ax = 2( ) (k 1) = 4 2 andpass Sapling 20

Min Max Plot (1),in k = 1 ( = 0) k = 2 ( = 1) k = 3 ( = 2) 2 2 3 + + 1 4 + 1 =k + k k 1 3 2 1 1 2 3 4 5 6 R = 2 andpass Sapling 21

Min Max Plot (2),in k = 1 ( = 0) k = 2 ( = 1) k = 3 ( = 2) 2 2 3 + + 1 4 Min + k k 1 Max 3 Max Min 2 k = 3 [3, 4 ] k = 2 y = 2( x 2)+2 y = 2 x 2 y = 1( x 2)+2 y = x [ 2 3, ( )] y = 1( x 3)+2 y = 2 3 (x 3)+2 1 k = 2 k = 2 y = x 1 y = 2 3 x [2, 3 ] [, 2( )] 0 1 2 3 4 5 6 R = 2 andpass Sapling 22

Range of (1) For a given + + 1 Nyquist Criterion 2 = 20 MHz = 5 MHz in ax Optiu Sapling Frequency = 1 2 20 + 5 1 + 1 = 22.5 2 20 5 1 = 35 = 22.5 MHz (10 ) = 2 2 20 + 5 2 + 1 = 15 2 20 5 2 = 17.5 = 17.5 MHz (10 ) = 3 2 20 + 5 3 + 1 = 11.25 2 20 5 3 = 11.67 = 11.25 MHz (10 ) = 4 2 20 + 5 4 + 1 = 9 2 20 5 4 = 8.75 X = 5 2 20 + 5 5 + 1 = 7.5 2 20 5 5 = 7.0 X 2 andpass Sapling 23

2 andpass Sapling 24

References [1] http://en.wikipedia.org/ [2] J.H. McClellan, et al., Signal Processing First, Pearson Prentice Hall, 2003 [3] A graphical interpretation of the DFT and FFT, by Steve Mann [4] R. G. Lyons, Understanding Digital Signal Processing, 1997