WorksheetsPCM vs DM Systems
Total questions: 15
Worksheet time: 8mins
What does PCM stand for in signal processing?
Pulse Code Measurement
Phase Control Modulation
Pulse Carrier Modulation
Pulse Code Modulation
Describe the basic principle of a PCM system.
A PCM system directly transmits analog signals without any conversion.
The basic principle of a PCM system is to filter out noise from digital signals.
The basic principle of a PCM system is to convert an analog signal into a digital signal through sampling, quantization, and encoding.
A PCM system amplifies analog signals for better transmission.
What is the main function of a DM system?
To automate decision-making processes.
To manage network security protocols.
To store large amounts of data.
To enhance user interface design.
Explain the concept of quantization in PCM.
Quantization in PCM is the method of filtering out noise from digital signals.
Quantization in PCM involves converting digital signals back into continuous analog signals.
Quantization in PCM is the process of converting continuous analog signals into discrete digital values by sampling and rounding to predefined levels.
Quantization in PCM is the process of amplifying analog signals to improve clarity.
How does quantization in DM differ from PCM?
Quantization in DM encodes differences with one bit, while PCM encodes absolute values with multiple bits.
Quantization in DM uses multiple bits for encoding differences, while PCM uses one bit for absolute values.
Quantization in DM and PCM both encode absolute values using the same number of bits.
DM quantization is a form of lossy compression, whereas PCM is lossless.
List one advantage of using PCM over DM.
Better noise immunity.
Simpler implementation
Lower data rate
Higher bandwidth usage
What is one key advantage of DM systems?
Decentralized data storage and increased data redundancy.
Limited access to data and slower retrieval times.
Higher costs associated with data management and maintenance.
Centralized data management and improved data consistency.
How is the Signal-to-Noise Ratio (SNR) defined in PCM?
SNR in PCM is the difference between the maximum and minimum signal levels.
SNR in PCM is defined as the total power of the signal only.
SNR in PCM is the ratio of noise power to signal power.
SNR in PCM is the ratio of signal power to noise power, expressed in decibels.
What factors affect the SNR in a DM system?
Receiver sensitivity
Transmission distance
Factors affecting SNR in a DM system include signal power, noise power, bandwidth, modulation scheme, and interference.
Channel coding technique
In PCM, what happens to the signal during the quantization process?
The signal is converted into an analog waveform.
The signal is amplified to a higher frequency.
The signal is filtered to remove noise.
The continuous signal is approximated to discrete levels.
How does the bit rate in PCM affect its performance?
Higher bit rate decreases audio quality; lower bit rate increases quality.
Bit rate has no effect on audio quality; it only affects file size.
Higher bit rate improves audio quality; lower bit rate reduces quality.
Higher bit rate leads to more distortion; lower bit rate enhances clarity.
What is the role of a quantizer in a DM system?
The quantizer converts the analog signal into a digital format by quantizing the difference between samples.
The quantizer encodes the digital signal into an analog format.
The quantizer filters out noise from the analog signal.
The quantizer amplifies the analog signal before transmission.
Compare the complexity of PCM and DM systems.
PCM and DM systems have the same complexity.
PCM systems are more complex than DM systems.
DM systems are simpler than PCM systems.
DM systems are more complex than PCM systems.
How does the SNR of PCM typically compare to that of DM?
PCM and DM have the same SNR.
PCM has a lower SNR than DM.
PCM has a higher SNR than DM.
DM has a higher SNR than PCM.
What type of applications are best suited for PCM systems?
Basic text messaging applications.
Simple data entry forms.
Low-resolution image viewing applications.
High-quality audio and video transmission applications.
