Search results for "Continuous-time signal" - Rhea

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• HW8 - Zachary Curosh: Impulse-train Sampling ECE301Fall2008mboutin
  ...ved by the use of a periodic impulse train multiplied by a continuous time signal, <math>x(t)</math>. The periodic impulse train, <math>p(t)</math> is refer
  3 KB (582 words) - 06:11, 16 September 2013
• Sourabh Ranka: Sampling Theorem ECE301Fall2008mboutin
  ...continuous-time signal to discrete-time signal, process the discrete-time signal using a discrete-time system and convert it back to continuous time. ...and X(j<math>\omega\,</math>) be the continuous Fourier transform of that signal. Then,
  1 KB (214 words) - 08:00, 10 November 2008
• SangMo Je: HW ECE301Fall2008mboutin
  ...the uniformly spaced discrete samples are a complete representation of the signal if this bandwidth is less than half the sampling rate. ...signal and <math>X(W)\,</math> be the continuous Fourier transform of that signal
  2 KB (303 words) - 10:24, 10 November 2008
• Josh Long: Sampling (Chapter 7) ECE301Fall2008mboutin
  Let <math>x(t)</math> be a signal with <math>X(\omega) = 0</math> when <math>|\omega| > \omega_m</math>. <math>\omega_m</math> Maximum frequencye for a band limited signal
  2 KB (349 words) - 12:09, 10 November 2008
• SangMo Je: Nyquist–Shannon sampling theorem ECE301Fall2008mboutin
  ...the uniformly spaced discrete samples are a complete representation of the signal if this bandwidth is less than half the sampling rate. ...signal and <math>X(w)\,</math> be the continuous Fourier transform of that signal (which exists if <math>x(t)\,</math> is square-integrable)
  2 KB (303 words) - 12:15, 10 November 2008
• David Record: Sampling- A bridge between CT and DT ECE301Fall2008mboutin
  ...AB. By use of sampling a continuous signal can be converted to a discrete signal, manipulated via a computer program and then converted back into a continuo
  1 KB (274 words) - 06:49, 16 September 2013
• Spencer Erekson ECE301Fall2008mboutin
  ...u have used a good sampling rate, you should be able to reconstruct the CT signal without much fuss.
  829 B (155 words) - 16:53, 10 November 2008
• Joseph Mazzei: Types of Interpolation ECE301Fall2008mboutin
  ...ation is defined by the authors of our book as the fitting of a continuous signal to a set of sample values, and is a commonly used procedure to reconstruct ...tion of the CT signal from the sampled signal approximates the original CT signal better.
  951 B (153 words) - 17:14, 10 November 2008
• Daniel Morris: Basic Sampling Problems ECE301Fall2008mboutin
  Let x(t) be a signal with <math>\chi(\omega)=0</math> when <math>|\omega|<\omega_m</math>. P: A real-valued signal x(t) is known to be uniquely determined by its samples when the sampling fr
  2 KB (340 words) - 17:29, 10 November 2008
• Derek Hopper: Interpolation ECE301Fall2008mboutin
  ...actly, from samples. More so, interpolation is the fitting of a continuous signal to a set of sample values. Interpolation can also be defined as a specific
  1 KB (167 words) - 19:39, 10 November 2008
• HW10 Seung Seob Lee ECE301Fall2008mboutin
  The continuous-time Fourier transform provides us with a representation for signals as linear c ...the complex variable s, it is referred to as the Laplace transform of the signal. The complex variable zs can be written as <math>s=\sigma+j\omega</math>, w
  1 KB (183 words) - 17:02, 24 November 2008
• Sourabh Rnaka ECE301Fall2008mboutin
  ...rm is used on continuous signal while z transform is used for the discrete signal. The z- transform of a general discrete signal x[n] is defined as
  2 KB (316 words) - 15:23, 3 December 2008
• Exam3 ECE301Fall2008mboutin
  #'''Signal Reconstruction Using Interpolation:''' the fitting of a continuous signal to a set of sample values ...nals (CD to MP3 albeit a complicated sampling algorithm, MP3 is less dense signal)
  21 KB (3,312 words) - 11:58, 5 December 2008
• Final ECE301Fall2008mboutin
  :(c) an ability to determine the response of linear systems to any input signal convolution in the time domain. [1,2,4;a,e,k] :(e) an ability to determine the response of linear systems to any input signal by transformation to the frequency domain, multiplication, and inverse tran
  7 KB (1,017 words) - 10:05, 11 December 2008
• Chapter 7 ECE301Fall2008mboutin
  #'''Signal Reconstruction Using Interpolation:''' the fitting of a continuous signal to a set of sample values ...nals (CD to MP3 albeit a complicated sampling algorithm, MP3 is less dense signal)
  2 KB (254 words) - 07:05, 8 December 2008
• ECE301:SanSummer08 Old Kiwi
  ##[[Signal Energy and Power_Old Kiwi]] ##[[Continuous-Time and Discrete-Time_Old Kiwi]]
  4 KB (531 words) - 11:32, 25 July 2008
• Problem 6 Old Kiwi
  (a) The FT of <math>X(j\omega)</math> of a continuous-time signal x(t) is periodic (b) The FT of <math>X(e^{j\omega})</math> of a continuous-time signal x[n] is periodic
  4 KB (739 words) - 20:48, 30 July 2008
• ECE301:SanSummer08:Exam II Old Kiwi
  .../math> of the signal x[n] is also periodic with period N. For the periodic signal x[n], find the values of <math>a_0,a_1,...,a_{N-1}.</math> Express your an 1)b)Evaluate the value of <math>(1/N)*\sum_{n=<N>}|x[n]|^2</math> for the signal x[n] given in part (a).
  4 KB (803 words) - 11:10, 22 July 2008
• Course Summary ECE438Fall09mboutin
  Note: PM refers to the official course book, Digital Signal Processing, 3rd edition, J.G. Proakis and D.G. Manolakis. * Basic Signals and Signal Properties
  9 KB (1,237 words) - 09:29, 5 October 2009
• Exams/Quizzes
  * Signal properties (even/odd, periodicity, power, energy, etc.)
  5 KB (643 words) - 11:55, 6 August 2009