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ECE 4710: Lecture #5 1 Linear Systems Linear System Input Signal x(t) Output Signal y(t) h(t) H( f ) Voltage Spectrum (via FT) AutoCorrelation Function Power Spectral Density Useful Signal Characterizations
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ECE 4710: Lecture #5 2 Linear Systems Linear Time Invariant (LTI) Conditions: Linear Superposition holds Time Invariant Shape of system response, H( f ), is same no matter when input is applied to system »Does not apply for most mobile (wireless) communication channels Impulse Response = h(t) h(t) = 0 for t < 0 causal y(t) = h(t) when x(t) = (t) delta impulse function at input can measure system response
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ECE 4710: Lecture #5 3 System Output Output is result of convolution integral between input and impulse response function Convolution integral is difficult to evaluate Preferred approach is to find system transfer function H( f ) Convolution in time is multiplication in frequency
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ECE 4710: Lecture #5 4 System Transfer Function H( f ) is the FT of h(t) and is called the frequency response or the transfer function of the system In general H( f ) is a complex function with magnitude and phase response: Magnitude response is even function in frequency Positive and negative frequencies have same amplitude Phase response is an odd function in frequency
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ECE 4710: Lecture #5 5 System Transfer Function H( f ) can be measured by using sinusoidal test input signal and sweeping the frequency over the desired range Spectrum analyzer uses this approach How is power content of input signal affected by the system?
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ECE 4710: Lecture #5 6 Power Transfer Power Transfer Function Example: RC Low Pass Filter (LPF) Find G h ( f ) + x(t) + y(t) R C i(t)
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ECE 4710: Lecture #5 7 RC LPF KVL around loop: Capacitor current related to voltage drop: Table 2-1, pg. 52 : Take FT of both sides: Solving for transfer function:
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ECE 4710: Lecture #5 8 RC LPF Table 2-2, pg. 64: So where = RC is the time constant of the LPF 1 RC t e -1 RC = RC h(t) = Impulse Response Function of ILPF
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ECE 4710: Lecture #5 9 RC LPF Power Transfer Function: Define f o = cutoff frequency = 1 / 2 RC so At f = f o G h ( f o ) = 0.5 Power @ f o attenuated by half half power or 3 dB BW
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ECE 4710: Lecture #5 10 Distortionless Transmission Distortionless channel is very desirable in a communication system Output is simply delayed replica of input : y(t) = A x (t - T d ) where A : channel loss ( A < 1) T d : time delay in channel In frequency domain a distortion free response is Thus, a distortion free channel has Note that there is no frequency dependence for amplitude but there is for phase
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ECE 4710: Lecture #5 11 Distortionless Transmission LTI system will have no distortion if 1) Amplitude response is flat 2) Phase response is linear function of frequency Distortion classified as either 1) amplitude or 2) phase distortion Looking at phase distortion from time delay standpoint: Time delay of channel/system must be independent of frequency, otherwise phase distortion will occur
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ECE 4710: Lecture #5 12 RC Filter Distortion Filter Transfer Function: Amplitude response: Phase Response: Time Delay: Not a constant value
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ECE 4710: Lecture #5 13 For f < 0.5 f o the amplitude distortion is < 0.5 dB (~12%) RC Amplitude Distortion
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ECE 4710: Lecture #5 14 For f < 0.5 f o the phase distortion is < 2.1 (~8%) RC Phase Distortion
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ECE 4710: Lecture #5 15 High frequency signal components have less delay For f o = 1 kHz delay is ~0.2 msec RC Time Delay
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ECE 4710: Lecture #5 16 Distortion Most communication systems have both amplitude and phase distortion of H( f ) Distortion can be acceptable depending on Distortion type amplitude, phase, or both Distortion magnitude e.g. how bad? Type of information signal audio, video, or data
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ECE 4710: Lecture #5 17 Audio Distortion Human ear is sensitive to amplitude distortion in f Audio spectrum is 300 Hz to 15 kHz 15 phase distortion causes time delay of ~ 3 sec Duration of spoken syllable is 10-100 msec 3 sec delay is imperceptible (< 0.05 % of 10 msec syllable) 3 dB amplitude error is very noticeable to ear High-fidelity audio amplifiers Focus on maintaining flat spectral response Phase distortion is not concern
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ECE 4710: Lecture #5 18 Video Distortion For analog video transmission the phase distortion is the primary concern Amplitude variations will cause variations in image intensity Phase variations will cause time delays which will cause objects in the image to blur at edges Human eye is more sensitive to phase variations Analog video filters require excellent phase linearity
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ECE 4710: Lecture #5 19 Data Distortion For digital data both amplitude and phase distortion can have serious affects Rectangular data pulse train: Pulse smearing into adjacent symbol time slots Inter-Symbol Interference (ISI) Increase probability that bit errors will occur (BER ) Special filters designed for digital data to minimize impact of ISI 0 1 0 1 0 TsTs Bandlimited Communication System or Channel 0 1 0 1 0
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