'Sampled signal' diaporamas de présentation

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Chapter 2 Sampling and Construction

Chapter 2 Sampling and Construction. New Words. Contents. 2.1 Types of Signals in CCS 2.2 Sampling Process and Its Mathematical Description 2.3 Sampling Theorem and Some Problems 2.4 Reconstruction 2.5 Selection of Sampling Rate 2.6 Summarization. Clock. S/H &A/D. Computer. D/A.

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Chapter 2

Chapter 2. Formatting and Baseband Modulation. Formatting. Formatting & Baseband. 3. Formatting and Baseband. 4. What is Formatting?. Information can take either of the three forms: Textual information Analog signals Digital data

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Filtering

Filtering. General medical device. gain. sensor. filter. v. gain. Further processing, display, etc. anti-aliasing filter. ADC. Biopotential amplitudes and frequency ranges. Low pass. High pass. 1 st order high pass filter. 1 st order low pass filter. 2 nd order band pass filter.

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Lecture 1.4. Sampling. Kotelnikov-Nyquist Theorem.

Lecture 1.4. Sampling. Kotelnikov-Nyquist Theorem. Linear Systems. Review of Linear Systems Linear Time-Invariant Systems Impulse Response Transfer Functions Distortionless Transmission. Linear Time-Invariant Systems.

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Homework 6

Chapter 4. Dynamical Behavior of Processes. q i. h 1. h 2. q 1. q o. a 1. a 2. v 2. v 1. Homework 6. Construct an s -Function model of the interacting tank-in-series system and compare its simulation result with the simulation result of the component model from Homework 2.

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Lecture 7: Sampling

Lecture 7: Sampling. Review of 2D Fourier Theory. We view f( x , y ) as a linear combination of complex exponentials that represent plane waves. F( u , v ) describes the weighting of each wave. has a frequency. The wave. and a direction. Review of 2D Fourier theory, continued.

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Chapter 2 Ideal Sampling and Nyquist Theorem

Chapter 2 Ideal Sampling and Nyquist Theorem. Topics: Impulse Sampling and Digital Signal Processing (DSP) Ideal Sampling and Reconstruction Nyquist Rate and Aliasing Problem Dimensionality Theorem Reconstruction Using Zero Order Hold. Huseyin Bilgekul Eeng360 Communication Systems I

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Multirate Digital Signal Processing Problem : process data sampled at different rates. Typical example :

Multirate Digital Signal Processing Problem : process data sampled at different rates. Typical example : audio data sampled at 8kHz, to be played by a sound card operating at 20kHz; Important Applications : Data Compression., Digital Communication, Spectral Estimation, Filtering.

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2D Fourier Transform

2D Fourier Transform. Review of 2D Fourier Theory. We view f( x , y ) as a linear combination of complex exponentials that represent plane waves. F( u , v ) describes the weighting of each wave. has a frequency. The wave. and a direction. Review of 2D Fourier theory, continued.

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Introduction to D/A and A/D conversion

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14 ? DAC and ADC

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Discrete-Time Signal Processing (A Review)

Discrete-Time Signal Processing (A Review). Sampling. CT. DT. Zero-Order Hold (ZOH). Sampling. Impulse train. Sampling. ? (t-nT). Spectrum of Sampled Signal ( ? s >2 ? N ). The spectrum of the sampled signal is periodic in ? s =2 ? /T. Spectrum of Sampled Signal ( ? s <2 ? N ).

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