Digital Signal Processing Prof Nizamettin AYDIN naydinyildiz edu
- Slides: 31
Digital Signal Processing Prof. Nizamettin AYDIN naydin@yildiz. edu. tr http: //www. yildiz. edu. tr/~naydin 1
Digital Signal Processing Lecture 20 Fourier Transform Properties 2
READING ASSIGNMENTS • This Lecture: – Chapter 11, Sects. 11 -5 to 11 -9 – Tables in Section 11 -9 • Other Reading: – Recitation: Chapter 11, Sects. 11 -1 to 11 -9 – Next Lectures: Chapter 12 (Applications)
LECTURE OBJECTIVES • The Fourier transform • More examples of Fourier transform pairs • Basic properties of Fourier transforms – Convolution property – Multiplication property
Fourier Transform Fourier Synthesis (Inverse Transform) Fourier Analysis (Forward Transform)
WHY use the Fourier transform? • Manipulate the “Frequency Spectrum” • Analog Communication Systems – AM: Amplitude Modulation; FM – What are the “Building Blocks” ? • Abstract Layer, not implementation • Ideal Filters: mostly BPFs • Frequency Shifters – aka Modulators, Mixers or Multipliers: x(t)p(t)
Frequency Response • Fourier Transform of h(t) is the Frequency Response
Table of Fourier Transforms
Fourier Transform of a General Periodic Signal • If x(t) is periodic with period T 0 ,
Square Wave Signal
Square Wave Fourier Transform
Table of Easy FT Properties Linearity Property Delay Property Frequency Shifting Scaling
Scaling Property
Scaling Property
Uncertainty Principle • Try to make x(t) shorter – Then X(jw) will get wider – Narrow pulses have wide bandwidth • Try to make X(jw) narrower – Then x(t) will have longer duration • Cannot simultaneously reduce time duration and bandwidth
Significant FT Properties Differentiation Property
Convolution Property • Convolution in the time-domain corresponds to MULTIPLICATION in the frequencydomain
Convolution Example • Bandlimited Input Signal – “sinc” function • Ideal LPF (Lowpass Filter) – h(t) is a “sinc” • Output is Bandlimited – Convolve “sincs”
Ideally Bandlimited Signal
Convolution Example
Cosine Input to LTI System
Ideal Lowpass Filter
Ideal Lowpass Filter
Signal Multiplier (Modulator) • Multiplication in the time-domain corresponds to convolution in the frequency-domain.
Frequency Shifting Property
Differentiation Property Multiply by jw
- Prof. dr. nizamettin aydin
- Prof. dr. nizamettin aydin
- Prof. dr. nizamettin aydin
- Prof. dr. nizamettin aydin
- Nizamettin aydin
- Nizamettin aydin
- Nizamettin aydin
- Digital signal as a composite analog signal
- Signal processing filter
- Types of signal
- Dr sujan ali
- Digital signal processing
- "interlaced"
- Super audio cd
- Digital signal processing
- Image processing
- Digital signal processing
- Digital signal processing
- What is dsp
- Properties of roc in dsp
- High-performance digital signal processing
- Digital signal processing
- Digital encoding schemes
- Histogram processing in digital image processing
- Point processing operations
- Neighborhood processing in digital image processing
- Image processing
- What is point processing in digital image processing
- Morphological dilation
- Sinan aydın ymm
- Aydın kendirci
- Thede loder