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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Udemy
View courses UdemyStudents 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