This document provides an overview of digital communications and source encoding. It discusses why digital communication is preferable to analog, describes the basic block diagram of a digital communication system, and defines key terms like the information source and channel encoder. The document then covers some of the foundational work in digital communications, including Nyquist's sampling theorem and Shannon's channel capacity theorem. It discusses ideal sampling and the Nyquist rate, as well as practical sampling techniques like sample-and-hold. The document also covers quantization, quantization noise, and how the step size and number of quantization levels affect the signal-to-quantization noise ratio. In closing, it briefly mentions pulse code modulation and nonuniform quantization.
Objective of Pulse Code Modulation
Block Diagram of PCM
Process of PCM
Sampling
Quantization
Encoding
PCM Standards
Bit Rate and Bandwidth in PCM
Advantages and Disadvantages of PCM
Applications of PCM
Hello everyone. This is a short presentation on path loss and shadowing. I have not covered all the topics but a brief idea is given on path loss and wireless channel propagation models.
Hope you find it useful.
Thanks
A Brief Knowledge about Differential Pulse Code Modulation.
It contains the basics of Pulse Code modulation and why we all switching to Differential Pulse Code Modulation.
All the things about the Differential Pulse Code Modulation is given in a good understandable way
Objective of Pulse Code Modulation
Block Diagram of PCM
Process of PCM
Sampling
Quantization
Encoding
PCM Standards
Bit Rate and Bandwidth in PCM
Advantages and Disadvantages of PCM
Applications of PCM
Hello everyone. This is a short presentation on path loss and shadowing. I have not covered all the topics but a brief idea is given on path loss and wireless channel propagation models.
Hope you find it useful.
Thanks
A Brief Knowledge about Differential Pulse Code Modulation.
It contains the basics of Pulse Code modulation and why we all switching to Differential Pulse Code Modulation.
All the things about the Differential Pulse Code Modulation is given in a good understandable way
The Presentation includes Basics of Non - Uniform Quantization, Companding and different Pulse Code Modulation Techniques. Comparison of Various PCM techniques is done considering various Parameters in Communication Systems.
In this chapter we examine the capacity of a single-user wireless channel where transmitter and/or receiver have a single antenna. We will discuss capacity for channels that are both time invariant and time varying. We first look at the well-known formula for capacity of a time-invariant additive white Gaussian noise (AWGN) channel and then consider capacity of time-varying flat fading channels. We will first consider flat fading channel capacity where only the fading distribution is known at the transmitter and receiver. We will also treat capacity of frequency-selective fading channels. For time -invariant frequency-selective channels the capacity is known and is achieved with an optimal power allocation that water-fills over frequency instead of time. We will consider only discrete-time systems in this chapter.
All about the differential pulse code modulation and adaptive pulse code modulation which is one the classification of pulse code modulation(digital communications).
Mathematical Explanation of channel capacityHere we can see that the channel capacity is measured with the multiplication of pulses per second and information. This is how we can measure the channel capacity.
In communication system, intersymbol interference (ISI) is a form of distortion of a signal in which one symbol interferes with subsequent symbols. This is an unwanted phenomenon as the previous symbols have similar effect as noise, thus making the communication less reliable.
In communication system, the Nyquist ISI criterion describes the conditions which when satisfied by a communication channel (including responses of transmit and receive filters), result in no intersymbol interference(ISI). It provides a method for constructing band-limited functions to overcome the effects of intersymbol interference.
The most fundamental digital modulation techniques are based on keying: PSK (phase-shift keying): a finite number of phases are used. FSK (frequency-shift keying): a finite number of frequencies are used. ... QAM (quadrature amplitude modulation): a finite number of at least two phases and at least two amplitudes are used.
The Presentation includes Basics of Non - Uniform Quantization, Companding and different Pulse Code Modulation Techniques. Comparison of Various PCM techniques is done considering various Parameters in Communication Systems.
In this chapter we examine the capacity of a single-user wireless channel where transmitter and/or receiver have a single antenna. We will discuss capacity for channels that are both time invariant and time varying. We first look at the well-known formula for capacity of a time-invariant additive white Gaussian noise (AWGN) channel and then consider capacity of time-varying flat fading channels. We will first consider flat fading channel capacity where only the fading distribution is known at the transmitter and receiver. We will also treat capacity of frequency-selective fading channels. For time -invariant frequency-selective channels the capacity is known and is achieved with an optimal power allocation that water-fills over frequency instead of time. We will consider only discrete-time systems in this chapter.
All about the differential pulse code modulation and adaptive pulse code modulation which is one the classification of pulse code modulation(digital communications).
Mathematical Explanation of channel capacityHere we can see that the channel capacity is measured with the multiplication of pulses per second and information. This is how we can measure the channel capacity.
In communication system, intersymbol interference (ISI) is a form of distortion of a signal in which one symbol interferes with subsequent symbols. This is an unwanted phenomenon as the previous symbols have similar effect as noise, thus making the communication less reliable.
In communication system, the Nyquist ISI criterion describes the conditions which when satisfied by a communication channel (including responses of transmit and receive filters), result in no intersymbol interference(ISI). It provides a method for constructing band-limited functions to overcome the effects of intersymbol interference.
The most fundamental digital modulation techniques are based on keying: PSK (phase-shift keying): a finite number of phases are used. FSK (frequency-shift keying): a finite number of frequencies are used. ... QAM (quadrature amplitude modulation): a finite number of at least two phases and at least two amplitudes are used.
Presentation on 1G/2G/3G/4G/5G/Cellular & Wireless TechnologiesKaushal Kaith
This Presentation is explaining all about the Generations of Mobile or Cellular Technology (1G/2G/2.5/ 3G/4g/5G). This explain the invented details ,features,drawbacks,look of wireless models and comparison and evolution of technology from 1G to 5G and also explaining about wireless application and their services.
Introduction to Channel Capacity | DCNIT-LDTalks-1Arunabha Saha
DCNIT-LDTalks-1
Here I have discussed the channel capacity for noiseless and noisy channels. How Nyquist capacity and Shannon capacity play a key role in the noiseless and noisy channels are discussed in detail. We will see the several expressions of SNR_dB in terms of power and amplitude and try to understand how both the capacity are different from each other. For extreme values of SNR, we will deduce the Shannon capacity formula to understand the bandwidth-limited region and power-limited region. Here I have used a few numerical examples to understand the concept clearly. In the last section of the talk, I have deduced the Shannon capacity formula from scratch to get better exposure and will understand how these ideas contribute to its mathematical framework.
Course: CMS-A-CC-4-8
youtube: https://www.youtube.com/watch?v=1OjlMqHWq6o
Signal and image processing on satellite communication using MATLABEmbedded Plus Trichy
Basic Explanations about satellite imaging and signal processing with the help of MATLAB.
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