Next Generation Wireless Network MCQs

Welcome to our comprehensive collection of Multiple Choice Questions (MCQs) on Next Generation Wireless Network, a fundamental topic in the field of Cognitive Radio. Whether you're preparing for competitive exams, honing your problem-solving skills, or simply looking to enhance your abilities in this field, our Next Generation Wireless Network MCQs are designed to help you grasp the core concepts and excel in solving problems.

In this section, you'll find a wide range of Next Generation Wireless Network mcq questions that explore various aspects of Next Generation Wireless Network problems. Each MCQ is crafted to challenge your understanding of Next Generation Wireless Network principles, enabling you to refine your problem-solving techniques. Whether you're a student aiming to ace Cognitive Radio tests, a job seeker preparing for interviews, or someone simply interested in sharpening their skills, our Next Generation Wireless Network MCQs are your pathway to success in mastering this essential Cognitive Radio topic.

Note: Each of the following question comes with multiple answer choices. Select the most appropriate option and test your understanding of Next Generation Wireless Network. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

So, are you ready to put your Next Generation Wireless Network knowledge to the test? Let's get started with our carefully curated MCQs!

Next Generation Wireless Network MCQs | Page 27 of 33

Discover more Topics under Cognitive Radio

Q261.
How to obtain cepstrum coefficients?

a.

Cepstrum coefficients are obtained by taking Fourier transform of the spectrum

b.

Cepstrum coefficients are obtained by taking Fourier transform of decibel spectrum

c.

Cepstrum coefficients are obtained by taking Laplace transform of decibel spectrum

d.

Cepstrum coefficients are obtained by taking Laplace transform of the spectrum

Discuss
Answer: (b).Cepstrum coefficients are obtained by taking Fourier transform of decibel spectrum Explanation:Cepstrum coefficients are features employed in speech signal processing. It is obtained from the spectrum of a speech signal. Cepstrum coefficients are obtained by taking the Laplace transform of the decibel spectrum. Shifted delta cepstrum coefficients measure the changes in the speech spectrum over multiple frames of spectrum to model language characteristics.
Q262.
Which among the following is not a region of interest associated with text to speech conversion?

a.

Transcript generation

b.

Pronunciation of named entities

c.

Quality of voice synthesis

d.

Conveyance of expression

Discuss
Answer: (a).Transcript generation Explanation:Text to speech conversion voices textual information. The source of the information could be text based communication or display readouts. The regions of interest are associating news with particular voice and tone, producing human sounding voice, pronunciation of named entities, quality of voice synthesis, and conveyance of expression.
Q263.
Speaker stress characterization enables cognitive radio to assess the success of a decision on the basis of verbal cues.

a.

True

b.

False

c.

May be True or False

d.

Can't say

Discuss
Answer: (a).True Explanation:Speaker characterization is the process of finding the emotional state of a user through speech processing. Knowledge of stress state helps to improve situational awareness, identify irritation, determine stress level, and assess the success of a decision on the basis of verbal cues.
Q264.
Which among the following is the maximum limit on one way delay for normal conversation?

a.

450

b.

500

c.

400

d.

300

Discuss
Answer: (d).300 Explanation:The allowable one way delay for normal conversation is less than 300 millisecond seconds. Speech coding provides intelligible and quality speech, stress detection, language independence, error free transmission, and tone communication.
Q265.
Which among the following is not a requirement of services that are explicitly invoked?

a.

Replicate user interface

b.

Modeling user intent

c.

Common means to describe user state

d.

Automatic detection of input modality

Discuss
Answer: (d).Automatic detection of input modality Explanation:Services can be provided by automatic detection or by explicit request. Cognitive radio employs hybrid request handling techniques with respect to the applications. The service requires interfaces to represent the user state, predict the outcome of a task, and to duplicate the human interface.
Q266.
Which among the following statements is false about background suppression?

a.

Enhance the effectiveness of text to speech conversion

b.

Enhance the effectiveness of a speed coder

c.

Extract useful background noise

d.

Enhance communication in the presence of noise

Discuss
Answer: (a).Enhance the effectiveness of text to speech conversion Explanation:Background noise suppression enhances the effectiveness of communication and speech coders. It is used to extract information that can be utilized to introduce situational awareness. It also employed to increase voice quality and the cognition level of coded speech.
Q267.
Which among the following is the first step in auditory scene analysis?

a.

Pitch scale detection

b.

Filtering

c.

Grouping

d.

Segmentation

Discuss
Answer: (d).Segmentation Explanation:Auditory scene analysis consists of two steps namely segmentation and grouping. Initially, the auditory scene is subdivided into time-frequency zones or segments that exhibit coherent structure. Then the segments tracing back to the same source in auditory streams are grouped.
Q268.
What are the two mechanisms applied in auditory scene analysis?

a.

Controlled mechanism and off-controlled mechanism

b.

Master mechanism and slave mechanism

c.

Serial mechanism and intermittent mechanism

d.

Simultaneous mechanism and sequential mechanism

Discuss
Answer: (d).Simultaneous mechanism and sequential mechanism Explanation:Simultaneous mechanism permits the arrangement of segments on the basis of frequencies. The sequential mechanism locates the segments with similar properties in time.
Q269.
Which among the following operation employs heuristic rules in computational auditory scene analysis?

a.

Re-synthesis

b.

Source extraction

c.

Segmentation

d.

Grouping

Discuss
Answer: (b).Source extraction Explanation:Computation auditory scene analysis applies heuristic grouping rules developed using psychological observations to separate a source from a single channel of audio. It separates the sound into music, voice, noise, etc.
Q270.
Which among the following provides the procedure of active suppression?

a.

Filter with cut off frequencies

b.

Emission of sound to cancel noise

c.

Emission of sound to shape noise

d.

Extraction of noise sample

Discuss
Answer: (b).Emission of sound to cancel noise Explanation:Active noise suppression mitigates the noise experienced by a user by producing a sound to compensate for the undesired noise field. It can reduce the damage inflicted by exposure to high noise levels and reduce the Lombard effect.
Page 27 of 33