M2 Lec 11|Properties of CTFT: Parseval's theoreom

Inter Symbol Interference|Model of ISI|Nyquist Criterion for Distortion less Baseband Transmission

Maximum Likelihood Decoding| Detection of known signals in noise| MAP Rule| Maximum-likelihood Rule

Vector model of AWGN channel| Response and Statistical Characterization Of The Correlator Outputs

Gram-Schmidt Orthogonalization Procedure Example

Signal Space Analysis| Geometric Representation of Signals| Example questions

Information theory basics entropy conditional Entropy theory and example

Information Rate ,Mutual Information , Differential entropy ,Theory and example

Power spectral Density Problem solving

Random Process Stationary Process Problem solving

Transmission of a Random Process Through an LTI system

Power Spectral Density Theory Problem

Auto Correlation And Cross Correlation Theory Problem

Random Process Theory

Statistical Averages of Random Variables

Cumulative Distribution Function (CDF) & Probability Density Function (pdf) Example questions

Narrow Band FM and Wide Band FM

Angle Modulation

Exp 11|Write an embedded c program to find sum of two matrices

M2 Lec 11|Properties of CTFT: Parseval's theoreom

M2 Lec 8a|Properties of CTFT: Conjugation Property, Real signal, Even component, Odd component

M2 Lec 10|Properties of CTFT: Convolution in Time Domain and Frequency (Multiplication) |Example

M2 Lec 9|Properties of CTFT: Integration |Example

M2 Lec 8a|Properties of CTFT: Time differentiation and Frequency differentiation|Example

M2 Lec 8|Properties of CTFT: Time differentiation and Frequency differentiation|Definition|Proof