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.