Kode Matakuliah: ELS3103 
Bobot sks: 3 
Semester: 5 
KK / Unit Penanggung Jawab: Prodi S1 Teknik Elektro 
Sifat: Wajib 
Nama Matakuliah  Pengolahan Sinyal Digital  
Digital Signal Processing  
Silabus Ringkas  Sejarah dan Tinjauan Pengolahan Sinyal Digital, Teori dan Konsep, Sinyal dan Sistem Waktu Diskrit, Analisis Sistem LTI dengan transformasiz, Analisis frekuensi dari sinyal dan sistem, Discrete Fourier Transform (DFT) dan Fast Fourier Transform (FFT), Analisis Spektrum, Implementasi Sistem Waktu Diskrit, Perancangan Filter Digital  
History and Overview in Digital Signal Processing, Theories and Concepts, Discrete Time Signals and Systems, Analysis of LTI Systems Using zTransfoms, Frequency Analysis of Signals and Systems, The Discrete Fourier Transform (DFT) and Fast Fourier Transform (FFT), Spectrum analysis, Implementation of DiscreteTime Systems, Design of Digital Filter  
Silabus Lengkap  Sejarah dan tinjauan pengolahan sinyal digital; Teori dan konsep sinyal dan sistem, Konsep frekuensi di dalam sinyal waktu kontinyu dan sinyal waktu diskrit, dan AnalogtoDigital and DigitaltoAnalog Conversion; Sinyal dan sistem waktu diskrit, Analisis sistem LTI waktu diskrit, dan Sistem LTI dikarakterisasi persamaan differens dengan koefisien konstan; Konsep transformasiz dan inversinya, analisis sistem LTI menggunakan transformasiz; Analisis frekuensi dari sinyal dan sistem, Sistem LTI sebagai frekuensi pemilih frekuensi; Discrete Fourier Transform (DFT) dan Fast Fourier Transform (FFT); Analisis spektrum dengan DFT dan konsep fungsi window; Implementasi sistem waktu diskrit untuk sistem FIR dan IIR; Perancangan filter digital, perancangan FIR, perancangan IIR dari filter analog yang ditransformasi menggunakan transformasi bilinear.  
History and overview in digital signal processing field; Theories and concepts of signal and system, the concept of frequency in continuoustime and discretetime signals, and AnalogtoDigital and DigitaltoAnalog Conversion; Discretetime signals and systems, analysis of discretetime LTI systems, and LTI system characterized by constantcoefficient difference equation (LCCDE); The concept of ztransform and its inversion, analysis of LTI systems using ztransfoms; Frequency analysis of signals and systems, LTI systems as frequency selective filters; The Discrete Fourier Transform (DFT) and Fast Fourier Transform (FFT); Spectrum Analysis using DFT and concept of window function; Implementation of DiscreteTime Systems for FIR and IIR systems; Design of digital filter, FIR designs, IIR designs from analog filters transformed using bilinear transformation.  
Luaran (Outcomes) 
Identify the difference between analog and discrete signals, Indicate some of the characteristic of filters; Describe the concept of frequency, amplitude, and phase of discrete time signals and continuous time signals and its properties, Explain the concept of Harmonically Related Complex Exponentials and fundamental frequency, Explain the process of analogtodigital conversion (sampling, quantization, coding); Describe the discretetime representation of signals, Distinguish between energy signals and power signals, periodic and aperiodic signals, symetric and antisymetric signals, Describe the inputoutput description of the systems and the their block diagram representation, Distinguish between timeinvariant and timevariant systems, linear and nonlinear systems, causal and noncausal systems, stable and unstable systems, Apply the techniques for the analysis of Linear Systems; Describe the definition of ztransform and Region of Convergence (RoC), Explain the important properties of ztransform such as linearity, time shifting, scaling, and time reversal, Explain ztransform to characterize signals in terms of their polezero patterns, Explain the definition of inversion of the ztransform, Explain the methods for inverting the ztransform of a signal so as to obtain the timedomain representation of the signal, Apply the ztransform in the analysis of LTI systems; Explain the Fourier series representation for continuoustime periodic (power) signals and the Fourier transform for finite energy aperiodic signals, Explain the Fourier series representation for discretetime periodic (power) signals and the Fourier transform for finite energy aperiodic signals, Explain the properties of the Fourier Transform (linearity, time shifting, and timereversal), Explain the characterization of LTI systems in the frequency domain that is described by its frequency response, Produce the frequency response of LTI systems that have rational system functions, Apply the filter (LTI system) to perform spectral shaping or frequencyselective filtering; Explain the DFT and its properties (periodicity, linearity and circular symmetry), Apply the DFT to perform linear filtering in the frequency domain, Apply the DFT for frequency analysis of signals, Explain the FFT as a method for computing the DFT efficiently; Apply the DFT for spectrum analysis, Apply the linear filtering to compute DFT, Explain how window functions improve transform properties; Explain the issues in realization of DiscreteTime Systems, Explain the structures for FIR Systems (Direct Form, Cascade Form, Frequency Sampling Structure, Lattice Structure), Explain the structures for IIR Systems (Direct Form, Signal Flow Graphs and Transposed, Cascade Form, Parallel Form, Lattice and LatticeLadder Structures); Design LinearPhase FIR Filters using windows (Rectangular, Berlett, Hanning, Hamming, Blackman), Design LinearPhase FIR Filters by FrequencySampling Method, Design Optimum Equiripple LinearPhase FIR Filters, Explain the concept of designing IIR filters from analog filters by the Bilinear Transformation, Design analog low pass filters (Butterworth, Chebyshev, Elliptic, and Bessel), Design IIR Filters from Analog Filters by the Bilinear Transformation (Low Pass, High Pass, Bandpass, Bandstop)


Matakuliah Terkait  ELS2204 Sinyal dan Sistem  Prasyarat  
ELS3104 Prakt. Pengolahan Sinyal Digital  Bersamaan  
Kegiatan Penunjang  Tugas Proyek  
Pustaka  [PrMa07] J.G. Proakis and D. G. Manolakis, Digital Signal Processing, Principles, Algorithms, and Applications. Upper Saddle River, NJ: Prentice Hall, 2007. ISBN 0–13–2287315. (pustaka utama)  
[InPr97] V. K. Ingle and J. G. Proakis, Digital Signal Processing Using Matlab v.4. Boston, MA: PWS Publishing Company, 1997. (pustaka pendukung untuk Tugas Proyek)  
Panduan Penilaian  Pretest (5%), Posttest (30), Tugas Proyek (30%), UAS (35%)  
Catatan Tambahan  Website penunjang perkuliahan ada di http://kuliah.itb.ac.id/course/view.php?id=287 
Mg#  Topik  Sub Topik  Capaian Belajar Mahasiswa  Sumber Materi 
1  History and Overview 


2  Theories and Concepts 



3  Discrete Time Signals and Systems 


4  Discrete Time Signals and Systems 



5  Analysis of LTI Systems Using zTransfoms 



6  Analysis of LTI Systems Using zTransfoms 



7  Frequency Analysis of Signals and Systems 


8  Frequency Analysis of Signals and Systems 


9  Frequency Analysis of Signals and Systems 


10  The Discrete Fourier Transform (DFT) and Fast Fourier Transform (FFT) 


11  The Discrete Fourier Transform (DFT) and Fast Fourier Transform (FFT) 


12  Spectrum Analysis 


13  Implementation DiscreteTime Systems 


14  Design of Digital Filter 


15  Design of Digital Filter 
