Signals and Systems

This is Signals and Systems Lecture Notes

Week 1

• RPS
• Signals and Systems 1.1: CONTINUOUS-TIME AND DISCRETE-TIME SIGNALS
• Signals and Systems 1.2: TRANSFORMATIONS OF THE INDEPENDENT VARIABLE
• Signals and Systems 1.3: EXPONENTIAL AND SINUSOIDAL SIGNALS
• Signals and Systems 1.4: THE UNIT IMPULSE AND UNIT STEP FUNCTIONS
• Signals and Systems 1.5: CONTINUOUS-TIME AND DISCRETE-TIME SYSTEMS
• Signals and Systems 1.6: BASIC SYSTEM PROPERTIES

Week 2

• Signals and Systems 2.1: DISCRETE-TIME LTI SYSTEMS: THE CONVOLUTION SUM
• Signals and Systems 2.2: CONTINUOUS-TIME LTI SYSTEMS: THE CONVOLUTION INTEGRAL
• Signals and Systems 2.3: PROPERTIES OF LINEAR TIME-INVARIANT SYSTEMS

Week 3

• Signals and Systems 2.4: CAUSAL LTI SYSTEMS DESCRIBED BY DIFFERENTIAL AND DIFFERENCE EQUATIONS
• Introduction to Fourier Analysis
• Signals and Systems 3.2: THE RESPONSE OF LTI SYSTEMS TO COMPLEX EXPONENTIALS

Week 4

• Introduction to Fourier Analysis
• Bullying

Week 5

• Ujian CPMK
• Signals and Systems 3.2: THE RESPONSE OF LTI SYSTEMS TO COMPLEX EXPONENTIALS
• Signals and Systems 3.3: FOURIER SERIES REPRESENTATION OF CONTINUOUS-TIME PERIODIC SIGNALS

Week 6

• Signals and Systems 3.4: CONVERGENCE OF THE FOURIER SERIES
• Signals and Systems 3.5: PROPERTIES OF CONTINUOUS-TIME FOURIER SERIES
• Signals and Systems 3.6: FOURIER SERIES REPRESENTATION OF DISCRETE-TIME PERIODIC SIGNALS
• Signals and Systems 3.7: PROPERTIES OF DISCRETE-TIME FOURIER SERIES
• CT Fourier Series and DT Fourier Series

Week 7

• Signals and Systems 4.1: REPRESENTATION OF APERIODIC SIGNALS: THE CONTINUOUS-TIME FOURIER TRANSFORM
• Signals and Systems 4.2: THE FOURIER TRANSFORM FOR PERIODIC SIGNALS
• Signals and Systems 4.3: PROPERTIES OF THE CONTINUOUS-TIME FOURIER TRANSFORM

Week 8

• Signals and Systems 4.4: THE CONVOLUTION PROPERTY
• Signals and Systems 4.5: THE MULTIPLICATION PROPERTY
• Signals and Systems 4.7: SYSTEMS CHARACTERIZED BY LINEAR CONSTANT-COEFFICIENT DIFFERENTIAL EQUATIONS

Week 9

• Signals and Systems 9.1: THE LAPLACE TRANSFORM
• Signals and Systems 9.2: THE REGION OF CONVERGENCE (ROC)
• Signals and Systems 9.3: THE INVERSE LAPLACE TRANSFORM
• Signals and Systems 9.5: PROPERTIES OF THE LAPLACE TRANSFORM

Week 10

• Signals and Systems 9.7: ANALYSIS AND CHARACTERIZATION OF LTI SYSTEMS USING THE LAPLACE TRANSFORM

Week 11

• UTS - Asesmen CPMK 2

Week 12

• Signals and Systems 9.8: SYSTEM FUNCTION ALGEBRA AND BLOCK DIAGRAM REPRESENTATIONS
• Signals and Systems 7.1: REPRESENTATION OF A CONTINUOUS-TIME SIGNAL BY ITS SAMPLES: THE SAMPLING THEOREM
• Signals and Systems 7.2: RECONSTRUCTION OF A SIGNAL FROM ITS SAMPLES USING INTERPOLATION
• Signals and Systems 7.3: THE EFFECT OF UNDERSAMPLING: ALIASING
• Audio Aliasing Visualization

Week 13

• Signals and Systems: Unlocking Signals - A Journey Through Transforms
• Signals and Systems 5.1: REPRESENTATION OF APERIODIC SIGNALS: THE DISCRETE-TIME FOURIER TRANSFORM

Week 14

• Signals and Systems 5.2: THE FOURIER TRANSFORM FOR PERIODIC SIGNALS
• Signals and Systems 5.3: PROPERTIES OF THE DISCRETE-TIME FOURIER TRANSFORM
• Signals and Systems 5.4: THE CONVOLUTION PROPERTY
• Signals and Systems 5.5: THE MULTIPLICATION PROPERTY

Week 15

• Signals and Systems 10.1 THE z-TRANSFORM
• Signals and Systems 10.2 THE REGION OF CONVERGENCE FOR THE Z-TRANSFORM
• Signals and Systems 10.3 THE INVERSE z-TRANSFORM
• Signals and Systems 10.4 GEOMETRIC EVALUATION OF THE FOURIER TRANSFORM FROM THE POLE-ZERO PLOT

Week 16

• Signals and Systems 10.5 PROPERTIES OF THE Z-TRANSFORM
• Signals and Systems 10.7 ANALYSIS AND CHARACTERIZATION OF LTI SYSTEMS USING z-TRANSFORMS
• Signals and Systems 10.8 SYSTEM FUNCTION ALGEBRA AND BLOCK DIAGRAM REPRESENTATIONS