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Signals And Systems Fundamentals

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37:17:47

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  • 1 - Fourier transform of rectangular pulse.mp4
    13:31
  • 2 - Autocorrelation function and Power Spectral Density.mp4
    19:18
  • 3 - Frequency response and impulse response.mp4
    17:07
  • 4 - Impulse response and causality.mp4
    18:10
  • 5 - Relation between Laplace transform Fourier transform ztransform DTFT DFT FFT.mp4
    25:06
  • 6 - Why cant an ideal filter be implemented in practice.mp4
    08:39
  • 7 - Time domain sampling analytical representation.mp4
    17:07
  • 8 - L1 Real sinusoidal and exponential signals.mp4
    57:52
  • 9 - L2 Complex exponential unit impulse and unit step signals.mp4
    56:07
  • 10 - L3 Complex exponential unit impulse and unit step functions.mp4
    56:07
  • 11 - L4 Periodic signals even and odd signalsmp4.mp4
    56:37
  • 12 - L5 Transformation of Independent variable continuous timemp4.mp4
    50:55
  • 13 - L6 Transformation of independent variable Continuous time and discrete time exa.mp4
    54:25
  • 14 - L7 Transformation of independent variable Discrete Time examplemp4.mp4
    53:14
  • 15 - L8 Relationship between Unit impulse and unit step functions Introduction to sys.mp4
    53:50
  • 16 - L9 System properties memory invertibility and causalitymp4.mp4
    55:43
  • 17 - L10 System properties Stability Time Invariance and Linearitymp4.mp4
    55:47
  • 18 - L11 Linearity and linear systems with examplesmp4.mp4
    57:17
  • 19 - L12 LTI systems impulse response and convolutionmp4.mp4
    55:22
  • 20 - L13 Convolution in Discrete Timemp4.mp4
    52:11
  • 21 - L14 Convolution continuous timemp4.mp4
    49:47
  • 22 - L15 Properties of LTI systemsconvolutionmp4.mp4
    57:28
  • 23 - L15 Properties of LTI systemsconvolutionmp4.mp4
    01:06:00
  • 24 - L17 Unit step response and introduction to Fourier seriesmp4.mp4
    54:17
  • 25 - L18 Fourier series motivation and theorymp4.mp4
    52:13
  • 26 - L19 Fourier series Exponential form and sinecosine formmp4.mp4
    50:39
  • 27 - L20 Dirichlets conditions and properties of Fourier seriesmp4.mp4
    01:02:14
  • 28 - L21 Fourier series of discrete time periodic signalsmp4.mp4
    01:07:33
  • 29 - Fourier series coefficient calculations.mp4
    10:07
  • 30 - Geometric representation of signals.mp4
    01:26:18
  • 31 - Gram Schmidt orthogonalization.mp4
    01:21:23
  • 32 - Introduction to Digital Communication.mp4
    01:05:31
  • 33 - Sampling reconstruction Aliasing.mp4
    01:00:52
  • 34 - Quantization quantization noise signal to quantization noise power ratio.mp4
    55:26
  • 35 - Quantization SNR and PCM.mp4
    56:14
  • 36 - PCM word size and Baseband signaling Line codes.mp4
    01:02:53
  • 37 - Processing gain in DPCM and Delta Modulation.mp4
    52:28
  • 38 - Slope overload in Delta Modulation.mp4
    28:18
  • 39 - Gaussian noise.mp4
    37:06
  • 40 - White Gaussian Noise.mp4
    27:03
  • 41 - Signal detection in the presence of AWGN Binary Unipolar.mp4
    47:20
  • 42 - Error probability with binary polar signaling.mp4
    48:08
  • 43 - Error probability for Mary signaling with M 4.mp4
    52:39
  • 44 - Error probability with Mary signaling over AWGN channel.mp4
    46:46
  • 45 - .mp4
    52:57
  • 46 - Spectrum Fourier analysis.mp4
    01:11:42
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    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 46
    • duration 37:17:47
    • Release Date 2023/03/11