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214 видео
M1 Lec6e|LTI systems| Convolution Integral| Graphical Method | Example Problems
Lec 2|Number Systems Introduction- Binary Number System
M2 Lec 9|Properties of CTFT: Integration |Example
M2 Lec 8a|Properties of CTFT: Conjugation Property, Real signal, Even component, Odd component
Transmission of a Random Process Through an LTI system
M2 Lec 8a|Properties of CTFT: Time differentiation and Frequency differentiation|Example
Signal Space Analysis| Geometric Representation of Signals| Example questions
M1 Lec6f|LTI systems| Convolution Integral| Graphical Method | Example Problem
Maximum Likelihood Decoding| Detection of known signals in noise| MAP Rule| Maximum-likelihood Rule
M2 Lec 8|Properties of CTFT: Time differentiation and Frequency differentiation|Definition|Proof
Random Process Stationary Process Problem solving
Vector model of AWGN channel| Response and Statistical Characterization Of The Correlator Outputs
Power spectral Density Problem solving
Information theory basics entropy conditional Entropy theory and example
Exp 11|Write an embedded c program to find sum of two matrices
Random Process Theory
Gram-Schmidt Orthogonalization Procedure Example
Angle Modulation
M2 Lec 11|Properties of CTFT: Parseval's theoreom
Module 1 Lec 6|Radix and Diminished Radix complement
Information Rate ,Mutual Information , Differential entropy ,Theory and example
How to install & compile(Debug) 8051 assembly and Embedded C programs in Ride 7 and Rkit51
Inter Symbol Interference|Model of ISI|Nyquist Criterion for Distortion less Baseband Transmission
M1 lec2d|Periodic and Non-periodic Signals, Problem solving section
Module 3 Lec 7|Encoders|Priority Encoder
Power Spectral Density Theory Problem
M2 Lec 10|Properties of CTFT: Convolution in Time Domain and Frequency (Multiplication) |Example
M1 Lec6i|LTI systems| Convolution Integral| Graphical Method | Example Problem
Narrow Band FM and Wide Band FM
Statistical Averages of Random Variables
