$\dpi{120} {\color{DarkBlue}s_i \left( t \right)=V cos \left[ 2 \pi f_c t \; – \; \frac{ \left( i - 1 \right) 2 \pi }{M}\right] \;\;\; \text{ where i = 1,2,…,M} \;\; \rightarrow (1) }$

## Simulation of M-PSK modulation techniques in AWGN channel

A generic simulation technique to simulate all M-PSK modulation techniques (for upto M=32) is given here. The given simulation code is very generic, and it plots both simulated and...

## Intuitive derivation of Performance of an optimum BPSK receiver in AWGN channel

BPSK modulation is the simplest of all the M-PSK techniques. An insight into the derivation of error rate performance of an optimum BPSK receiver is essential as it serves...

## Eb/N0 Vs BER for BPSK over Rician Fading Channel

In one of the previous article, simulation of BPSK over Rayleigh Fading channel was discussed. This article deals with simulation of another important fading type : Rician Fading. Rayleigh...

## Eb/N0 Vs BER for BPSK over Rayleigh Channel and AWGN Channel

The phenomenon of Rayleigh Flat fading and its simulation using Clarke’s model and Young’s model were discussed in the previous posts. The performance (Eb/N0 Vs BER) of BPSK modulation...

## BER Vs Eb/N0 for QPSK modulation over AWGN

In the previous article we saw about how QPSK modulation and demodulation can be done. This concept is extended further to simulate the performance of QPSK modulation technique over...

## BER Vs Eb/N0 for BPSK modulation over AWGN

In the previous article we saw about how Passband BPSK modulation and demodulation can be done. This concept is extended further to simulate the performance of BPSK modulation technique...

## BPSK modulation and Demodulation

BPSK Modulation: In digital modulation techniques a set of basis functions are chosen for a particular modulation scheme.Generally the basis functions are orthogonal to each other. Basis functions can...