DSP

People's Democratic Republic of Algeria
Higher education and scientific research
University of Bechar
RELATIONSHIP BETWEEN
MICROPROCESSOR(DSP)
AND DIGITAL SIGNAL.
MODULE :
Processeurs des signaux numériques (DSP)
Présenter par :
-
1MESE.
Année Universitaire :
2020/2021
Chapter 01:
DSP Microprocessor
What’s a CPU?
The CPU Central Processing Unit sometimes called a
processor or a microprocessor is the brain of the PC. It is also
the most expensive component. It costs roughly double the
price of the motherboard.
It plays three major roles: calculation, input/output, and
system adjustment. The task function that can be calculated in
binary number, the input/output function to send and receive
data to and from peripheral devices such as HDD, RAM, and
graphics card, and the function of controlling each peripheral
device and parts that the entire computer operates.
Figure 01. A microprocessor.
What’s a DSP?
DSP processor is a special microprocessor with an
architecture optimized for the operational requirements of
digital signal processing.
It stands for Digital Signal Processing. This is basically any
signal processing performed on a digital signal or information
signal to analyze, measure, and manipulate said signal using
mathematical calculations. DSP aims to modify or enhance the
signal. It is characterized by the representation of discrete
time, discrete frequency, or discrete domain signals.
DSP includes sub-fields such as communication signal
processing, radar signal processing, sensor array processing,
digital image processing, etc.
The main goal of a DSP processor is to measure, filter
and/or compress digital or analog signals. This is done by
converting the signal from a real analog signal to a digital
format. It uses a digital-to-analog converter (DAC) to convert
the signal. However, the required output signal is often
another analog signal in the real world. This also requires a
digital to analog converter.
Figure 02. The DSP Microprocessor chip.
DSP products in everyday life
Let's see what DSP products are around us, there existed
the:
 One-dimensional signal refers to a signal with one axis
representing a signal, and there are voice signals, audio
signals, and communication traffic lights.
 A two-dimensional signal is a signal with two axes
representing the signal, and it is a still image like a
photograph.
 A three-dimensional signal is a signal represented by
three axes, and a video signal is representative.
One-dimensional signal DSP products: smart phones, MP3,
CD players, etc.
Two-dimensional signal DSP products: digital cameras,
camera phones, etc.
DSP products for 3D signals: DVD players, HDTV (High
Definition TV), video smartphones, etc.
Figure 03. DSP products examples.
Chapter 2:
The relation between the DSP and
digital signal
What is a signal?
A signal is an electromagnetic or electrical current that
carries data from one system or network to another. In
electronics, a signal is often a time-varying voltage that is also
an electromagnetic wave carrying information, though it can
take on other forms, such as current. There are two main types
of signals used in electronics: analog and digital signals.
Signal processors can be analog or digital, single- or multifunction or integrated with other components in a sound
system. In their infancy, most were standalone devices, but
over time, became multi-functional with today's digital signal
processors (DSPs) combining a wide spectrum of functions at
a fraction of the cost of individual processors.
Digital signal processing algorithms run on a variety of
platforms such as general purpose microprocessors and
standard computers. A special processor called a digital signal
processor (DSP); Special purpose hardware such as
Application-Specific Integrated Circuit (ASIC) and FieldProgrammable Gate Array (FPGA); Digital signal controller;
Includes stream processing for traditional DSP or graphics
processing applications such as image and video.
Digital signal processing is inherently more complex than
analog signal processing. However, it has many advantages
over ASP such as error detection, transmission correction, and
data compression.
How They Work:
Digital Signal Processing converts signals from real world
sources (usually in analog form) into digital data that can then
be analyzed. Analysis is performed in digital form because
once a signal has been reduced to numbers, its components
can be isolated and manipulated in more detail than in analog
form.
When the DSP has finished its work, the digital data can be
turned back into an analog signal with improved quality. A
DSP can filter noise from a signal, amplify frequencies and
suppress others.