How and why a computer represent text?
• Text is converted to a unique binary number using the computer's character set to be processed by the computer
2 definitions of character set
1. The symbols that the computer uses
2. A list of characters recognised by the computer hardware and software
2 character sets that can be used
1. ASCII (American Standard Code for Information Interchange)
2. Unicode
3 definitions of ASCII
1. Uses 7/8 bits
2. Only 128 (27) or 256 (28) characters can be represented
3. Many characters in other group languages cannot be represented
3 definitions of Unicode
1. Uses 16, 24 or 32 bits
2. It is designed so that most characters in other languages can be represented
3. It allows for a greater range of characters and symbols including languages and emojis
3 differences between ASCII and Unicode
1. ASCII uses 7 or 8 bits per character whereas Unicode uses up to 32 bits per character (Unicode requires more bits per character than ASCII)
2. Unicode has a greater range of characters than ASCII
3. Unicode represent most written languages in the world while ASCII is used for English only
3 definitions of Sampling
1. The amplitude of the sound wave is determined at set time intervals to get an approximation of the sound wave
2. Each sample is stored as a binary number
3. Samples are stored in order in a file
What is a sample?
• It refers to a value at a point in time
What is sampling rate?
• It is the number of samples taken per second
3 ways how and why a computer represent sound
1. A sound wave is sampled to be converted to binary which is processed by a computer
2. Each sample is stored as a binary number
3. Samples are stored in order in a file
What are the 2 effects of increasing the sampling rate on the digitised sound?
1. Increasing the sampling rate means more samples per second and hence more bits per sample and file size will be larger
2. Increasing the sampling rate will increase the accuracy of the digitised sound
What are the 2 effects of decreasing the sampling rate on the digitised sound?
1. Decreasing the sampling rate means fewer samples per second and hence fewer bits per sample and file size will be smaller
2. Decreasing the sampling rate will decrease the accuracy of the digitised sound
What is sampling resolution?
• It is the number of bits used to store each sample
What are the 2 effects of increasing sampling resolution on digital sound?
1. Increasing the sampling resolution means larger file size
2. Increasing the sampling resolution gives more accurate representation of the sound
What are the 2 effects of decreasing sampling resolution on digital sound?
1. Decreasing the sampling resolution means smaller file size
2. Decreasing the sampling resolution gives less accurate representation of the sound
2 types of Images
1. Bitmap
2. Vector
2 descriptions of a pixel
1. Picture element
2. Smallest addressable area on screen / image
3 descriptions of Low resolution
1. Has fewer pixels
2. Poor image quality
3. Takes less memory space
3 descriptions of High resolution
1. Has many pixels
2. Good image quality
3. Takes more memory space
3 definitions of an image (Bitmap)
1. An image is a series of pixels
2. The colour of each pixel is represented by a unique binary pattern
3. The colour of each pixel is stored
3 ways how and why a computer represents an image
1. An image is a series of pixels
2. The colour of each pixel is represented by a unique binary pattern processed by a computer
3. The colour of each pixel is stored
What is resolution?
• It is the number of pixels in an image / screen
What is colour depth?
• The number of bits used to represent each colour
What are the 2 effects of increasing the resolution of an image?
1. Increases file size
2. Increases quality of an image
What are the 2 effects of decreasing the resolution of an image?
1. Decreases file size
2. Decreases quality of an image
What are the 2 effects of increasing the colour depth of an image?
1. Increases file size
2. Increases quality of an image
What are the 2 effects of decreasing the colour depth of an image?
1. Decreases file size
2. Decreases quality of an image
How to calculate file size of an image?
• File size = Number of pixels * colour depth