On Importance of
Sampling In Digital Communications
ON IMPORTANCE OF SAMPLING IN DIGITAL COMMUNICATIONS
The importance of sampling in digital communications cannot be
overestimated. How does one transmit digital data from fiber optic
cables, satellites, or wireless computer networks that occurs everyday
of our lives? The concepts in digital communications and sampling
will answer this question. Some important applications of
sampling and digital communications include digital imaging and
applications in medicine such as CATSCAN and Magnetic Resonance Imaging
(MRI) applications and for military applications transmitting
Synthetic Aperture Radar (SAR) data for missile seekers or for
battlefield awareness. Telepresence in the
future may become a reality and will require knowledge of the
important concept of sampling in digital communications.
Introduction to Digital Communications. I will first
introduce digital communications and later I'll present some advance
methods in transmitting digital information or data. I'll
review the formatting (including the importance on sampling in digital
communications) and transmission of data. To compensate for noisy
channels and other sources. I'll talk about channel coding
techniques as well as discuss methods to recover a signal.
Objectives. Some of the objective of the course include:
1. Analyze various signals:
a. Deterministic and Random signals
b. Power and Energy Signals
2. Analyze signals using Energy and Power Spectral Density
3. Analyze signals using autocorrelation concepts
4. Analyze properties of random signals
5. Analyze various digital modulation schemes: pulse code
moduation, quantization, detection of binary signals in Gaussian noise
and inter-symbol interference.
6. Analyze the coherent and non-coherent detection of binary
signals in Gaussian noise.
7. Analyze error performance of binary systems (I call this the
waterfall chart as you will see later).