Modulation Systems EMS310

These flashcards cover key terms and concepts from the Modulation Systems EMS310 course, focusing on fundamental elements of communication systems and signal processing.

Transducer

A device that converts one form of energy into another, used in communication systems.

Signal to Noise Ratio (SNR)

A measure of signal strength relative to background noise, represented as SNR = Ps/Pn.

Pulse Coded Modulation (PCM)

A method used to digitally represent analog signals by quantizing the amplitude levels.

Nyquist Sampling Theorem

States that a signal should be sampled at a rate greater than twice its bandwidth.

Baseband Signal

An analog or digital signal that has not been modulated onto a carrier signal.

Modulation

The process of varying a carrier signal's amplitude, frequency, or phase to convey information.

Demodulation

The reverse process of modulation, used to recover the original baseband signal from a modulated carrier.

Frequency Division Multiplexing (FDM)

A technique that transmits multiple signals over a single communication channel by allocating different frequency bands.

Time Division Multiplexing (TDM)

A method of transmitting multiple streams of data over a shared communication medium by dividing the time into slots.

Source Coding

The process of removing redundancy to represent data using fewer bits, enhancing efficiency.

Error Correction Coding

The technique of adding redundancy to data to correct errors during transmission.

Orthogonality

A property of two signals or vectors where their inner product equals zero, indicating they are independent.

Causal Signal

A signal that is defined to be zero for all time instances before a certain point, often represented by the unit step function.

Unit Impulse (Dirac Delta)

A mathematical function representing an idealized impulse, with specific properties such as δ(t)=0 for t not equal to 0.

Channel Capacity

The maximum rate at which information can be reliably transmitted over a communication channel.

Exponential Fourier Series

A way to represent periodic signals as a sum of complex exponentials, facilitating analysis and reconstruction.

Autocorrelation

A measure of similarity of a signal with a delayed version of itself, indicating how the signal correlates with itself over time.

Generalized Fourier Series

A representation of any signal as a sum of orthogonal basis functions, enabling signal reconstruction.