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دسته بندی دوره ها

Signals And Systems Fundamentals

سرفصل های دوره

1 - Introduction and review of prerequisite concepts in signal and systems
  • 1 - Fourier transform of rectangular pulse
  • 2 - Autocorrelation function and Power Spectral Density
  • 3 - Frequency response and impulse response
  • 4 - Impulse response and causality
  • 5 - Relation between Laplace transform Fourier transform ztransform DTFT DFT FFT
  • 6 - Why cant an ideal filter be implemented in practice
  • 7 - Time domain sampling analytical representation

  • 2 - Signals and Systems
  • 8 - L1 Real sinusoidal and exponential signals
  • 9 - L2 Complex exponential unit impulse and unit step signals
  • 10 - L3 Complex exponential unit impulse and unit step functions
  • 11 - L4 Periodic signals even and odd signalsmp4
  • 12 - L5 Transformation of Independent variable continuous timemp4
  • 13 - L6 Transformation of independent variable Continuous time and discrete time exa
  • 14 - L7 Transformation of independent variable Discrete Time examplemp4
  • 15 - L8 Relationship between Unit impulse and unit step functions Introduction to sys
  • 16 - L9 System properties memory invertibility and causalitymp4
  • 17 - L10 System properties Stability Time Invariance and Linearitymp4
  • 18 - L11 Linearity and linear systems with examplesmp4
  • 19 - L12 LTI systems impulse response and convolutionmp4
  • 20 - L13 Convolution in Discrete Timemp4
  • 21 - L14 Convolution continuous timemp4
  • 22 - L15 Properties of LTI systemsconvolutionmp4
  • 23 - L15 Properties of LTI systemsconvolutionmp4
  • 24 - L17 Unit step response and introduction to Fourier seriesmp4
  • 25 - L18 Fourier series motivation and theorymp4
  • 26 - L19 Fourier series Exponential form and sinecosine formmp4
  • 27 - L20 Dirichlets conditions and properties of Fourier seriesmp4
  • 28 - L21 Fourier series of discrete time periodic signalsmp4
  • 29 - Fourier series coefficient calculations
  • 30 - Geometric representation of signals
  • 31 - Gram Schmidt orthogonalization

  • 3 - Digital Communication Fundamentals
  • 32 - Introduction to Digital Communication
  • 33 - Sampling reconstruction Aliasing
  • 34 - Quantization quantization noise signal to quantization noise power ratio
  • 35 - Quantization SNR and PCM
  • 36 - PCM word size and Baseband signaling Line codes
  • 37 - Processing gain in DPCM and Delta Modulation
  • 38 - Slope overload in Delta Modulation
  • 39 - Gaussian noise
  • 40 - White Gaussian Noise
  • 41 - Signal detection in the presence of AWGN Binary Unipolar
  • 42 - Error probability with binary polar signaling
  • 43 - Error probability for Mary signaling with M 4
  • 44 - Error probability with Mary signaling over AWGN channel
  • 45 -
  • 46 - Spectrum Fourier analysis
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    تاریخ انتشار: 23 اسفند 1401
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