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Nazwa przedmiotu:
Signals, Systems and Modulations
Koordynator przedmiotu:
dr hab. inż. Przemysław Dymarski
Status przedmiotu:
Obowiązkowy
Poziom kształcenia:
Studia I stopnia
Program:
Computer Science
Grupa przedmiotów:
Technical Courses
Kod przedmiotu:
ESISM
Semestr nominalny:
4 / rok ak. 2015/2016
Liczba punktów ECTS:
6
Liczba godzin pracy studenta związanych z osiągnięciem efektów uczenia się:
lecture attendance 15 x 2h = 30 h tutorials (attendance) 15 h laboratories (attendance) 13 x 2.33 = 30 h preparation to lectures and tutorials 30 h preparations for the exams 20 h preparations for the laboratories 25 h sum: 150 h
Liczba punktów ECTS na zajęciach wymagających bezpośredniego udziału nauczycieli akademickich:
30 (lecture) + 15 (tutorials) + 30 (laboratories) = 75 h 75/25 = 3 ECTS
Język prowadzenia zajęć:
angielski
Liczba punktów ECTS, którą student uzyskuje w ramach zajęć o charakterze praktycznym:
laboratories: 30 h (attendance) + 25 h (preparations) = 55 h i.e. 2 ECTS
Formy zajęć i ich wymiar w semestrze:
  • Wykład30h
  • Ćwiczenia15h
  • Laboratorium15h
  • Projekt0h
  • Lekcje komputerowe0h
Wymagania wstępne:
This is the first course of telecommunications, so only bases of signal processing (e.g. Fourier series and transform), bases of analog and digital systems are required. These topics are included in Circuits and Signals (ECIRS) course.
Limit liczby studentów:
28
Cel przedmiotu:
Students become acquainted with signals used in telecommunications, the basic transmission link, analog and digital modulations, signal reception in presence of noise. Digital transmission of speech is studied and bases of signal compression are introduced. Short summary: General model of communication link (modulator – channel - demodulator) is introduced as well as criteria of its performance. Analog and digital modulations are described and compared. Digital transmission of analog signals is studied (based on the example of the G.711 PCM) as well as bases of signal compression. The time- and frequency domain methods of signal representation are developed (DFT, DCT) as well as the bases of adaptive filtering (for prediction and noise suppression)
Treści kształcenia:
Lecture: Signals in telecommunications (2h): Examples, properties and mathematical models of signals in telecommunication. General model of communication link (modulator – channel - demodulator). Analog and digital modulations, multiplexing (TDM, FDM). Criteria used for comparing modulations: bandwidth, bit rate, signal to noise ratio, immunity to channel noise. Limits of transmission (2h) Maximum baud rate (Nyquist theorem). Channel capacity – Shannon theorem and its consequences. Analog modulations (3h): Amplitude modulations (DSB-SC, DSB, SSB, VSB) and angle modulations (FM, PM): spectra of modulated signals, bandwidth, detection methods, immunity to channel noise. Digital modulations and transmission codes (2h): Transmission codes and their spectra (unipolar code, bipolar code, AMI, etc.). Basic digital modulations: ASK, FSK, PSK – spectra of the modulated signals. Mixed modulations: AM-PM, QAM. Differential coding: DPSK. Reception of digital signals (3h): Channel with additive gaussian noise. Optimal reception of binary signals: unipolar, bipolar, PSK, FSK. The quadrature receiver for M-ary PSK and AM-FM signals. Coherent and noncoherent reception of DPSK signals. Comparison of digital modulations. Digital transmission of analog signals (4h): Quantization, quantization error, SNR. Nonuniform quantizers, logarithmic quantizers. ITU-T standard PCM 64kbit/s – channel bandwidth, SNR, influence of channel noise. Discrete signals and systems (8h) Sampling of the baseband and passband signals. Z-transform and inverse Z-transform. Discrete Fourier Transform. Discrete systems: impulse response, frequency response, stability conditions. Introduction to adaptive filtering: (4h) A problem of signal prediction, noise suppression, echo cancellation. The Wiener filter, adaptive filters. Introduction to signal compression (2h): Problem of source coding, lossless and lossy compression. Example of a lossy compression – the Huffman code. Lossy compression: using a predictor, digital transforms (DFT, DCT). Tutorials Calculation of Fourier Transform repetition (2h) Reception of AM and FM signals: calculation of signal and noise power in a synchronous detector, envelope detector and frequency discriminator. Analysis of a phase modulator for SSB. Comparison of analog modulations. (2h). Optimal reception of digital signals: Evaluation of BER for binary transmission in the channel with AWGN. (2h) Quantization: Evaluation of a SNR for the uniform and nonuniform quantizer. Comparison of the PCM with analog modulations (channel bandwidth ,influence of the channel noise on the output signal quality, etc.). (2h). Discrete in time signals and systems (review): Calculation of Z-transforms and inverse Z-transforms. Calculation of a frequency response of a system, given its transfer function in Z domain. Stability of discrete systems. (4h) Adaptive filtering: Evaluation of an echo canceller or noise suppression algorithm (2). Laboratory Transmission codes (2h). Hardware part: comparison of the bipolar code receivers. Software part: construction of decision algorithms for binary baseband transmission Digital modulations (2h) Comparison of binary and M-ary modulations, the quadrature receiver, coherent and noncoherent reception of DPSK. Quantization and ADPCM (2h). Presentation of the PCM and DPCM: sampler, quantizer, predictor. SNR for an uniform, nonuniform and adaptive quantizers. Measurement of prediction gain in ADPCM. Discrete transforms (2h). Discrete filters (2h). Adaptive filtering (2h).
Metody oceny:
During the lab exercises it is possible to score up to 30 points (5 pts per one session) Maximum score for the exam is 70 points. There are also up to 10 points to get during the tutorials. The final result is based on the following pattern: • 5.0: 91-110 points • 4.5: 81-90 points • 4.0: 71-80 points • 3.5: 61-70 points • 3.0: 51-60 points • 2.0: 0 -50 points
Egzamin:
tak
Literatura:
K. Sayood Introduction to Data Compression, Morgan Kauffman (IT library) L.W. Couch Digital and Analog Communication Systems Prentice Hall (IT library) I.A. Glover Digital Communications (IT library) S.Haykin Communication Systems, Wiley 2001
Witryna www przedmiotu:
https://studia.elka.pw.edu.pl, www.tele.pw.edu.pl/esism
Uwagi:

Efekty uczenia się

Profil ogólnoakademicki - wiedza

Efekt ESISM_W01
General model of communication link, criteria of its quality
Weryfikacja: exam
Powiązane efekty kierunkowe: K_W13
Powiązane efekty obszarowe: T1A_W03, T1A_W07
Efekt ESISM_W02
Digital and analog modulations and transmission codes
Weryfikacja: exam
Powiązane efekty kierunkowe: K_W06, K_W13
Powiązane efekty obszarowe: T1A_W02, T1A_W03, T1A_W03, T1A_W07
Efekt ESISM_W03
Reception of digital signals
Weryfikacja: exam
Powiązane efekty kierunkowe: K_W06, K_W13
Powiązane efekty obszarowe: T1A_W02, T1A_W03, T1A_W03, T1A_W07
Efekt ESISM_W04
Bases of analog to digital conversion and compression
Weryfikacja: exam, exercises
Powiązane efekty kierunkowe: K_W06, K_W13, K_W14
Powiązane efekty obszarowe: T1A_W02, T1A_W03, T1A_W03, T1A_W07, T1A_W03, T1A_W07

Profil ogólnoakademicki - umiejętności

Efekt ESISM_U01
Comparison of modulations
Weryfikacja: tutorials, exam
Powiązane efekty kierunkowe: K_U13
Powiązane efekty obszarowe: T1A_U14, T1A_U15, T1A_U16
Efekt ESISM_U02
Analysis of signal reception methods
Weryfikacja: tutorials, laboratory
Powiązane efekty kierunkowe: K_U08, K_U09
Powiązane efekty obszarowe: T1A_U08, T1A_U09, T1A_U08, T1A_U09
Efekt ESISM_U03
Analysis and comparison of basic signal compression methods
Weryfikacja: tutorials, laboratory
Powiązane efekty kierunkowe: K_U08, K_U09
Powiązane efekty obszarowe: T1A_U08, T1A_U09, T1A_U08, T1A_U09

Profil ogólnoakademicki - kompetencje społeczne

Efekt ESISM_K01
team work in a laboratory
Weryfikacja: laboratory exercises
Powiązane efekty kierunkowe: K_K04
Powiązane efekty obszarowe: T1A_K03, T1A_K04