'Finite energy' presentation slideshows

Chapter 3 Discrete-Time Fourier Transform

2.63k views • 131 slides

Chapter 2 Discrete-Time Signals and Systems

2.01k views • 105 slides

Chapter 2 Discrete-Time Signals and Systems

2.35k views • 104 slides

Lecture 2 Probability Review and Random Process

Lecture 2 Probability Review and Random Process. Review of last lecture. The point worth noting are : The source coding algorithm plays an important role in higher code rate (compressing data) The channel encoder introduce redundancy in data

735 views • 57 slides

Course Outline (Tentative)

1.13k views • 56 slides

Chapter 2

421 views • 41 slides

Generalizations to Boltzmann-Maxwell Interaction Dynamics

Generalizations to Boltzmann-Maxwell Interaction Dynamics. Irene M. Gamba Department of Mathematics and ICES The University of Texas at Austin. IAS, February 2009.

382 views • 28 slides

Discrete-time Signals

Discrete-time Signals. Prof. Siripong Potisuk. Mathematical Representation. x [ n ] represents a DT signal, i.e., a sequence of numbers defined only at integer values of n (undefined for noninteger values of n ) Each number x [ n ] is called a sample

443 views • 22 slides

Chapter 2

214 views • 21 slides

Randomization workshop, IQC Waterloo Typical entanglement and random states in the continuous variable regime Oscar C.O. Dahlsten with Alessio Serafini, Martin B. Plenio and David Gross. www.imperial.ac.uk/quantuminformation.

301 views • 18 slides

Continuous-time Signals

Continuous-time Signals. ELEC 309 Prof. Siripong Potisuk. Signal Transformations. Operations Performed on the Independent and Dependent Variables Reflection or Time Reversal or Folding Time Shifting Time Scaling Amplitude Scaling Amplitude Shifting

428 views • 18 slides