Digital Signal Processing

What are the two main classifications of systems in digital signal processing?

• Linear systems and nonlinear systems

• Continuous-time systems and discrete-time systems

• Static systems and dynamic systems

• Analog systems and hybrid systems

Explain the difference between linear and non-linear systems in digital signal processing.

• Linear systems have outputs directly proportional to inputs, while non-linear systems have outputs inversely proportional to inputs.

• Linear systems always have a delay in their output, while non-linear systems do not.

• Linear systems have outputs directly proportional to inputs, while non-linear systems do not follow this proportionality.

• Linear systems are always stable, while non-linear systems are always unstable.

What are the basic operations involved in digital signal processing?

• encoding

• filtering, convolution, Fourier transform, sampling

• modulation

• amplification

Describe the principles of digital signal processing.

• Amplification, demodulation, encoding, and decryption

• Filtering, modulation, amplification, and demodulation

• Digital signal processing principles include sampling, quantization, filtering, and modulation.

• Analog to digital conversion, encryption, decryption, and encoding

How does digital signal processing differ from analog signal processing?

• Digital signal processing operates on digital signals using algorithms, while analog signal processing works on continuous signals through electrical components.

• Digital signal processing does not involve algorithms, unlike analog signal processing.

• Digital signal processing uses analog signals, while analog signal processing uses digital signals.

• Digital signal processing is less efficient than analog signal processing.