Difference between revisions of "ECE440 Lab1"

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[[Category:~~ECE440Fall2013Love~~]]

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[[Category:ECE440]] [[Category:ECE]] [[Category:Lab]] [[Category:communication systems]]

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[[Category:~~ECE440~~]]

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[[Category:~~ECE~~]]

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[[Category:~~lab~~]]

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~~= ECE 440 Lab 1 =~~

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~~= Experiment 1: Signals and Noise (1 week) ([[Media:ECE440F13LoveLab1.pdf‎|L1.pdf]]) =~~

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~~== I. OBJECTIVES ==~~

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[[ECE 440|ECE 440]] > [[ECE440_Lab1|Lab 1]]

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~~Upon completion of this experiment, you should be able to:~~

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~~1. Use the signal generators and filters in the lab to generate and filter noise and various types of periodic signals.~~

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<br>

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2. ~~Characterize noise and periodic signals in the time and frequency domains by using the 54624A oscilloscope and the 4395A spectrum analyzer respectively~~.

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= ECE 440 Lab 1 =

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----

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= [https://engineering.purdue.edu/ECEIL/ECE44000/1_CommunicationsAndNoise.pdf Lab manual] =

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~~3. Use the 8922A voltmeter to determine the RMS voltage (or equivalently, the power) of a signal.~~

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= [[ECE440_Lab1_discussion|Discussion page]] =

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~~== II. INTRODUCTION~~ ==

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= [[ECE440_Lab1_Typed|Old lab 1 document]] =

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In this course, you will be studying communication systems and signals, and the effect of noise on these systems. You will frequently need to analyze signals (deterministic and random) in the time and frequency domains. This experiment introduces you to a number of instruments. These instruments include spectrum analyzers for frequency domain analysis, oscilloscopes for time domain analysis, and voltmeters, frequency counters., etc.

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~~== III. PRELAB ==~~

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~~1. Define average power and root~~-~~mean-square value for deterministic signals.~~

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~~2 State Parseval’s Theorem for periodic signals.~~

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~~3. Define power, power spectral density, and autocorrelation for deterministic signals. Point out any relation between these. (Equations~~

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~~Only.)~~

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4. Gaussian white noise, perfectly band-limited to 0-10MHz, is passed through a perfectly rectangular filter of bandwidth 18 kHz, gain 3 dB, and center frequency 455 kHz. If the RMS voltage of the input noise is 1 volt, what is the RMS voltage of the output noise?

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---

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[[~~2013_Fall_ECE_440_Love~~|~~Back to Fall 2013 ECE 440~~]]

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Difference between revisions of "ECE440 Lab1" - Rhea

Latest revision as of 04:51, 4 September 2014

Contents

ECE 440 Lab 1

Lab manual

Discussion page

Old lab 1 document

Alumni Liaison

@@ Line 1: / Line 1: @@
-[[Category:ECE440Fall2013Love]]
+[[Category:ECE440]] [[Category:ECE]] [[Category:Lab]] [[Category:communication systems]]
-[[Category:ECE440]]
-[[Category:ECE]]
-[[Category:lab]]
-= ECE 440 Lab 1 =
-= Experiment 1: Signals and Noise (1 week) ([[Media:ECE440F13LoveLab1.pdf‎|L1.pdf]]) =
-== I. OBJECTIVES ==
+[[ECE 440|ECE 440]] > [[ECE440_Lab1|Lab 1]]
-Upon completion of this experiment, you should be able to:
-. Use the signal generators and filters in the lab to generate and filter noise and various types of periodic signals.
+<br>
-. Characterize noise and periodic signals in the time and frequency domains by using the 54624A oscilloscope and the 4395A spectrum analyzer respectively.
+= ECE 440 Lab 1  =
+----
+= [https://engineering.purdue.edu/ECEIL/ECE44000/1_CommunicationsAndNoise.pdf Lab manual] =
-. Use the 8922A voltmeter to determine the RMS voltage (or equivalently, the power) of a signal.
+= [[ECE440_Lab1_discussion|Discussion page]] =
+----
-== II. INTRODUCTION ==
+= [[ECE440_Lab1_Typed|Old lab 1 document]] =
-In this course, you will be studying communication systems and signals, and the effect of noise on these systems. You will frequently need to analyze signals (deterministic and random) in the time and frequency domains. This experiment introduces you to a number of instruments. These instruments include spectrum analyzers for frequency domain analysis, oscilloscopes for time domain analysis, and voltmeters, frequency counters., etc.
+----
-== III. PRELAB ==
-. Define average power and root-mean-square value for deterministic signals.
-State Parseval’s Theorem for periodic signals.
-. Define power, power spectral density, and autocorrelation for deterministic signals. Point out any relation between these. (Equations
-Only.)
-. Gaussian white noise, perfectly band-limited to 0-10MHz, is passed through a perfectly rectangular filter of bandwidth 18 kHz, gain 3 dB, and center frequency 455 kHz. If the RMS voltage of the input noise is 1 volt, what is the RMS voltage of the output noise?
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-[[2013_Fall_ECE_440_Love|Back to Fall 2013 ECE 440]]