Prof. Nizamettin AYDIN Advanced Digital Signal Processing 1.

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Presentation transcript:

Prof. Nizamettin AYDIN Advanced Digital Signal Processing 1

Amplitude Modulation 2

Review of FT properties –Convolution multiplication –Frequency shifting Sinewave Amplitude Modulation –AM radio Frequency-division multiplexing –FDM

Table of Easy FT Properties Delay Property Frequency Shifting Linearity Property Scaling

Table of FT Properties Differentiation Property

Frequency Shifting Property

Convolution Property Convolution in the time-domain MULTIPLICATION corresponds to MULTIPLICATION in the frequency- domain

Cosine Input to LTI System

Ideal Lowpass Filter

Ideal LPF: Fourier Series

The way communication systems work How do we share bandwidth ?

Table of FT Properties Differentiation Property

Signal Multiplier (Modulator) Multiplication in the time-domain corresponds to convolution in the frequency-domain.

Amplitude Modulator x(t) modulates the amplitude of the cosine wave. The result in the frequency-domain is two shifted copies of X(j  ).

DSBAM Modulator If X(j  )=0 for |  |>  b and  c >  b,the result in the frequency-domain is two shifted and scaled exact copies of X(j  ).

DSBAM Waveform In the time-domain, the “envelope” of sine- wave peaks follows |x(t)|

Double Sideband AM (DSBAM) “Typical” bandlimited input signal Frequency-shifted copies Upper sidebandLower sideband

DSBAM DEmodulator

DSBAM Demodulation

Frequency-Division Multiplexing (FDM) Shifting spectrum of signal to higher frequency: –Permits transmission of low-frequency signals with high-frequency EM waves –By allocating a frequency band to each signal multiple bandlimited signals can share the same channel –AM radio: kHz (10 kHz bands) –FM radio: MHz (200 kHz bands)

FDM Block Diagram (Xmitter) Spectrum of inputs must be bandlimited

Frequency-Division De-Mux

Bandpass Filters for De-Mux

Pop Quiz: FT thru LPF

Sampling and Reconstruction (Fourier View) 28

Sampling Theorem Revisited –GENERAL: in the FREQUENCY DOMAIN –Fourier transform of sampled signal –Reconstruction from samples Review of FT properties –Convolution  multiplication –Frequency shifting –Review of AM

Table of FT Properties Delay Property Frequency Shifting Scaling

Amplitude Modulator x(t) modulates the amplitude of the cosine wave. The result in the frequency-domain is two SHIFTED copies of X(j  ). Phase

DSBAM: Frequency-Domain “Typical” bandlimited input signal Frequency-shifted copies Upper sideband Lower sideband

DSBAM Demod Phase Synch

Quadrature Modulator TWO signals on ONE channel: “out of phase” Can you “separate” them in the demodulator ?

Demod: Quadrature System

Quadrature Modulation: 4 sigs 8700 Hz 3600 Hz

Ideal C-to-D Converter Mathematical Model for A-to-D FOURIER TRANSFORM of x s (t) ???

Periodic Impulse Train Fourier Series

FT of Impulse Train

Impulse Train Sampling

Illustration of Sampling

Sampling: Freq. Domain EXPECT FREQUENCY SHIFTING !!!

Frequency-Domain Analysis

Frequency-Domain Representation of Sampling “Typical” bandlimited signal

Aliasing Distortion If  s < 2  b, the copies of X(j  ) overlap, and we have aliasing distortion. “Typical” bandlimited signal

Reconstruction of x(t)

Reconstruction: Frequency-Domain

Ideal Reconstruction Filter

Signal Reconstruction Ideal bandlimited interpolation formula

Shannon Sampling Theorem “SINC” Interpolation is the ideal –PERFECT RECONSTRUCTION –of BANDLIMITED SIGNALS

Reconstruction in Time-Domain

Ideal C-to-D and D-to-C Ideal SamplerIdeal bandlimited interpolator