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wel
3 years ago
14

Which type of mic is durable, versatile and does not rely on power?

Computers and Technology
2 answers:
ahrayia [7]3 years ago
7 0

Answer:

Dynamic

Explanation:

Dynamic Mics are the workhorses of the microphone world. They're cheap, durable and sound fantastic on some of the most common sources in recording.

Hope this helps! :)

cluponka [151]3 years ago
7 0

Answer:

Dynamic

Explanation:

They are cheap, versatile, durable, and doesnt rely on power

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Show the array that results from the following sequence of key insertions using a hashing system under the given conditions: 5,
sergejj [24]

Answer:

a) Linear probing is one of the hashing technique in which we insert values into the hash table indexes based on hash value.

Hash value of key can be calculated as :

H(key) = key % size ;

Here H(key) is the index where the value of key is stored in hash table.

----------

Given,

Keys to be inserted are : 5 , 205, 406,5205, 8205 ,307

and size of the array : 100.

First key to be inserted is : 5

So, H(5) = 5%100 = 5,

So, key 5 is inserted at 5th index of hash table.

-----

Next key to inserted is : 205

So, H(205) = 205%100 = 5 (here collision happens)

Recompute hash value as follows:

H(key) =(key+i) % size here i= 1,2,3...

So, H(205) =( 205+1)%100 = 206%100 = 6

So, key 205 is inserted in the 6th index of the hash table.

----------

Next Key to be inserted : 406

H(406) = 406%100 = 6(collision occurs)

H(406) =(406+1) %100 = 407%100 = 7

So, the value 406 is inserted in 7the index of the hash table.

-----------------

Next key : 5205

H(5205) = 5205%100 = 5(collision)

So, H(5205) = (5205+1)%100 = 6( again collision)

So, H(5205) = 5205+2)%100 = 7(again collision)

So, H(5205) = (5205+3)%100 = 8 ( no collision)

So, value 5205 is inserted at 8th index of the hash table.

-------------

Similarly 8205 is inserted at 9th index of the hash table because , we have collisions from 5th to 8th indexes.

-------------

Next key value is : 307

H(307) = 307%100 = 7(collision)

So, (307+3)%100 = 310%100 = 10(no collision)  

So, 307 is inserted at 10th index of the hash table.

So, hash table will look like this:

Key       index

5         5

205         6

406         7

5205 8

8205 9

307         10

b) Quadratic probing:

Quadratic probing is also similar to linear probing but the difference is in collision resolution. In linear probing in case of collision we use : H(key) = (key+i)%size but here we use H(key) =( key+i^2)%size.

Applying Quadratic probing on above keys:.

First key to be inserted : 5.

5 will go to index 5 of the hash table.

-------

Next key = 205 .

H(205) = 205%100 = 5(collision)

So. H(key)= (205+1^2)%100 = 6(no collision)

So, 205 is inserted into 6th index of the hash table.

--------

Next key to be inserted 406:

So, 406 %100 = 6 (collision)

(406+1^2)%100 = 7(no collision)

So, 406 is moved to 7th index of the hash table.

----------

Next key is : 5205

So, 5205%100 = 5 (collision)

So, (5205+1^2)%100 = 6 ( again collision)

So, (5205+2^2)%100 = 9 ( no collision)

So, 5205 inserted into 9th index of hash table.

-----------

Next key is 8205:

Here collision happens at 5the , 6the , 9th indexes,

So H(8205) = (8205+4^2)%100 = 8221%100 = 21

So, value 8205 is inserted in 21st index of hash table.

--------

Next value is 307.

Here there is collision at 7the index.

So, H(307) = (307+1^2)%100 = 308%100= 8.

So, 307 is inserted at 8the index of the hash table.

Key           Index

5                  5

205                  6

406                  7

5205                9

8205               21

307                   8

3 0
3 years ago
Implement the function couple, which takes in two lists and returns a list that contains lists with i-th elements of two sequenc
In-s [12.5K]

Answer:

couple.py

def couple(s1,s2):

  newlist = []

  for i in range(len(s1)):

      newlist.append([s1[i],s2[i]])

  return newlist

s1=[1,2,3]

s2=[4,5,6]

print(couple(s1,s2))

enum.py

def couple(s1,s2):

  newlist = []

  for i in range(len(s1)):

      newlist.append([s1[i],s2[i]])

  return newlist

def enumerate(s,start=0):

  number_Array=[ i for i in range(start,start+len(s))]

  return couple(number_Array,s)

s=[6,1,'a']

print(enumerate(s))

print(enumerate('five',5))

Explanation:

7 0
3 years ago
Time (non-statistical) division multiplexing differs from frequency division multiplexing because it:
yan [13]

Explanation:

We can divide the multiplex in different categorize, for example:

  • FREQUENCY DIVISION MULTIPLEXERS (FDM)
  • TIME DIVISION MULTIPLEXERS (TDM)
  • STATISTICAL TIME DIVISION MULTIPLEXERS (STDM).

But in this case, we're going to explain about the time and frequency, because the time division multiplex differ to frequency, because the circuit is divided horizontally, and the time is vertically

b. splits the communication circuit vertically (with time slots) instead of horizontally

7 0
3 years ago
What is the purpose of concatenation?
bearhunter [10]

Explanation:

Concatenation allows you to add multiple strings together to form one long string by using the '+' operator between each string, so the purpose of concatenation is "<em>to combine two or more strings into one big string</em>" (third option).

Hope this helps :)

6 0
3 years ago
You just bought a new hard drive for your computer. You plan to use this as a secondary hard drive to store all your UMA files.
Neko [114]
When you get it you need to make Shure the computer knows you have it
4 0
3 years ago
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