18-08-2012, 01:23 PM
INTRODUCTION TO DSP
[attachment=32038]
DSP is one of the most powerful technologies that will shape science and engineering in the 21st century.
In general a signal can be a function of time, distance, position , temperature, frequency or any other independent variable.
Digital Signal :- it is a special form of discrete time signal which is discrete in time and amplitude.
A digital signal is acquired by representing the sampled analog value into a finite set of values (quantization).
These signals are called digital because the samples are represented by digits.
DSP is nothing but application of mathematical operations to digital signals.
ADC (Analog to Digital Converter) : this block is used to convert analog signal into digital form. This is required because digital signal processor accepts the signal which is digital in nature.
DSP processes input signal digitally. In a simple language processing of input signal means modifying the signal as per requirement. For this purpose DSP processors like TMS 320 can be used.
DAC ( Digital to Analog Converter):- the output of signal processor is digital in nature but the required final output is analog.
So convert Digital Signal into Analog Signal DAC is used.
General Introduction (1)
Signal implies the transmission of a message
During transmission the message may undergo transformations that alters it.
Radio signals are a good example.
The original sounds experience a series of transformations as they make their way to the ears of the listener.
General Introduction (2)
An abbreviated sequence is :
1. Sound is converted into electrical signals
2. Electrical signals are converted into radio waves
3. Radio waves are reflected (multiple times) by layers of the ionosphere
before reaching the receiving antenna
4. Radio waves are converted back into electricity
5. Electrical signals are transformed into sound
What is DSP?
Digital Signal Processing, DSP for short, is a special kind of computing. As the name implies, the focus is on the analysis of signals derived from sensors like video cameras, microphones, or strain gages.
DSP is intended primarily for embedded computer applications where the processor is an integral part of a product which is not just a computer. In other words, a DSP processor helps the product perform its function, but the purpose of the product goes beyond computing. End users of the product with an embedded computer often do not know that the product uses any processor. Special kinds of processors are used for DSP that focus on fast, medium precision (8-24 bit) calculation. Unlike personal computers or work stations, they usually run one program and do not support peripherals. Unlike micro-controllers, a DSP processor excels at numerical computation instead of logic and decision making. Embedding DSP hardware and software is readily done by DSP specialists using the tools and techniques available for this mature technology.
DSP is also useful as an addition to any computer to speedup image processing, scientific computing and other intensive computing applications. Boards that directly plug into personal computers and workstations are available at much lower cost than buying a computer with comparable throughput. These boards perform the heavy computation while the host computer provides other services for the user. Today, software for DSP is written in high level languages so that a DSP algorithm specialist can write and debug programs quickly.
DSP offers exciting possibilities for new products! Texas Instruments new high-end, single-chip DSP processor, that can do 2000 million operations/second, has the potential to transform the multimedia industry. At the other end of the DSP processor spectrum, the new $10 chips can do 40 million operations/second and outperform personal computer processor chips costing $100++. With the interface chips that grab audio and video frames in real time, the signal processing capability that one can embed in a new product is absolutely amazing
[attachment=32038]
DSP is one of the most powerful technologies that will shape science and engineering in the 21st century.
In general a signal can be a function of time, distance, position , temperature, frequency or any other independent variable.
Digital Signal :- it is a special form of discrete time signal which is discrete in time and amplitude.
A digital signal is acquired by representing the sampled analog value into a finite set of values (quantization).
These signals are called digital because the samples are represented by digits.
DSP is nothing but application of mathematical operations to digital signals.
ADC (Analog to Digital Converter) : this block is used to convert analog signal into digital form. This is required because digital signal processor accepts the signal which is digital in nature.
DSP processes input signal digitally. In a simple language processing of input signal means modifying the signal as per requirement. For this purpose DSP processors like TMS 320 can be used.
DAC ( Digital to Analog Converter):- the output of signal processor is digital in nature but the required final output is analog.
So convert Digital Signal into Analog Signal DAC is used.
General Introduction (1)
Signal implies the transmission of a message
During transmission the message may undergo transformations that alters it.
Radio signals are a good example.
The original sounds experience a series of transformations as they make their way to the ears of the listener.
General Introduction (2)
An abbreviated sequence is :
1. Sound is converted into electrical signals
2. Electrical signals are converted into radio waves
3. Radio waves are reflected (multiple times) by layers of the ionosphere
before reaching the receiving antenna
4. Radio waves are converted back into electricity
5. Electrical signals are transformed into sound
What is DSP?
Digital Signal Processing, DSP for short, is a special kind of computing. As the name implies, the focus is on the analysis of signals derived from sensors like video cameras, microphones, or strain gages.
DSP is intended primarily for embedded computer applications where the processor is an integral part of a product which is not just a computer. In other words, a DSP processor helps the product perform its function, but the purpose of the product goes beyond computing. End users of the product with an embedded computer often do not know that the product uses any processor. Special kinds of processors are used for DSP that focus on fast, medium precision (8-24 bit) calculation. Unlike personal computers or work stations, they usually run one program and do not support peripherals. Unlike micro-controllers, a DSP processor excels at numerical computation instead of logic and decision making. Embedding DSP hardware and software is readily done by DSP specialists using the tools and techniques available for this mature technology.
DSP is also useful as an addition to any computer to speedup image processing, scientific computing and other intensive computing applications. Boards that directly plug into personal computers and workstations are available at much lower cost than buying a computer with comparable throughput. These boards perform the heavy computation while the host computer provides other services for the user. Today, software for DSP is written in high level languages so that a DSP algorithm specialist can write and debug programs quickly.
DSP offers exciting possibilities for new products! Texas Instruments new high-end, single-chip DSP processor, that can do 2000 million operations/second, has the potential to transform the multimedia industry. At the other end of the DSP processor spectrum, the new $10 chips can do 40 million operations/second and outperform personal computer processor chips costing $100++. With the interface chips that grab audio and video frames in real time, the signal processing capability that one can embed in a new product is absolutely amazing