The direction of development of digital signal processors

Disk drive control, engine control, laser printer control, inkjet control, motor control, power system control, robot control, high-precision servo system control, CNC large cluster machine tools, etc. The main applications for low-power consumption, handheld devices, and wireless terminals are: mobile phones, PDAs, GPS, data radios, etc.

DSP chip, also known as digital signal processing pseudo-bridge manager, is a microprocessor that is particularly suitable for digital signal processing operations, and its main application is to quickly implement various digital signal processing algorithms in real time. According to the requirements of digital signal processing, DSP chips generally have the following main characteristics:

1. One multiplication and one addition can be completed in one instruction cycle;

2. The program and data space are separated, and instructions and data can be accessed at the same time;

3. The chip has fast RAM, which can usually be accessed in two blocks at the same time through the data bus of the independent and fierce upright;

4. Hardware support with low or no overhead loops and jumps;

5. Fast interrupt processing and hardware IO support;

6. It has multiple hardware address generators that operate in a single cycle;

7. Multiple operations can be performed in parallel;

8. Support pipeline operation, so that operations such as finger taking, decoding and execution can be overlapped.

Broadly speaking, digital signal processing is a technical practice that studies the analysis, transformation, filtering, detection, modulation, demodulation and fast algorithms of signals using digital methods.

Digital signal processing is used in a wide range of applications.

As far as the acquired signals are concerned, there are communication signal processing, radar signal processing, remote sensing signal processing, control belt spring signal processing, biomedical signal processing, geophysical signal processing, vibration signal processing, etc. If the characteristics of the processed signal are used to speak, it can be divided into voice signal processing, image signal processing, one-dimensional signal processing and multi-dimensional signal processing.

In biomedicine, signal processing is mainly used to assist the research of basic biomedical theories and for diagnostic examination and monitoring.

Digital signal processing is characterized by converting an analog signal of continuous time into a digital signal of discrete time and digitizing it. The core idea is to use discrete sampling, quantization, and coding techniques to convert signals into binary form for processing. Digital signal processing has the following characteristics:

1.Accuracy: Digital signal processing can achieve high-precision signal processing and calculation, because digital signals can be represented and processed with arbitrary precision, avoiding the influence of analog signals from noise and interference.

2.Programmability: The digital signal processor can realize various signal processing algorithms and functions through programming, which has strong flexibility and scalability.

By changing the program**, different signal processing tasks can be achieved. 3.Stability:

Digital signal processing is relatively stable to changes in environmental and system parameters, and will not cause signal distortion due to changes in environmental factors such as temperature and humidity. At the same time, the digital signal processor has the ability to resist interference and noise, and can effectively handle complex signal environments. 4.

Reliability: Digital signal processors can implement technologies such as error correction coding and fault detection to improve the reliability and fault tolerance of the system. The internal structure and algorithms of the DSP can be optimized and improved through software upgrades.

5.High efficiency: Digital signal processing can achieve efficient signal processing and calculation through algorithms and hardware, improving the speed and efficiency of the system.

At the same time, the digital signal processor can further improve the processing speed through parallel processing and dedicated hardware acceleration and other technologies.

Digital signal processing is majored in electronic information engineering, nuclear engineering, information and computer science, measurement and control technology and instrumentation.

Digital signal processing is the first MOOC course and national excellent course offered by Beijing Jiaotong University on August 24, 2020 at a Chinese university MOOC. The teachers are Chen Houjin, Hu Jian, Li Yanfeng, Xue Jian, Huang Linlin, Tao Dan, Li Jupeng, Peng Yahui, Zhou Hang, Shen Yan, Chen Ziwei, Peng Yahui and Qian Manyi. As of September 2020, the programme has been offered 8 times.

The main contents of this course are: learning and discussing discrete Fourier transform and applications, IIR digital filter design, FIR digital filter design, introduction to multi-rate signals, introduction to wavelet analysis, and applications of digital signal processing.

1. Do the direction of intellectual industry.

Graduates can be engaged in information technology management and computer software and hardware research and development in electronics and communications, finance, commerce and other enterprises; Engage in scientific research and teaching in communication and information technology research institutions and teaching departments, and be a civil servant.

2. Employment prospects.

In the 21 st century, the scientific and technological revolution represented by information technology has brought about tremendous changes in people's production, life, and way of thinking. With the application and penetration of information technology in various economic and social fields, the demand for information talents in all walks of life has also greatly increased. China's demand for informatization talents can reach 15 million, 20 million.

In China, the electronic information industry is developing rapidly at a rate twice that of economic development, and there is a huge shortage of high-end information talents. With the rapid development of China's domestic communications industry and the entry of a large number of foreign related enterprises into the Chinese market, the demand for talents from employers is also gradually increasing.

(1) Software realization: pure analog signal processing must be completely realized by hardware, and digital processing can be realized not only by microprocessor, special digital devices, but also by programming. One of the benefits of software enablement is that the processing system can handle large-scale complex processing with a very small footprint.

2) Strong flexibility: analog signal processing system debugging and modification is inconvenient, and the system parameters of digital processing system are generally kept in registers or memory, and it is very simple to modify these parameters to debug the system, especially when the software is implemented. Due to the characteristics of digital devices and software, digital signal processing systems are also very easy to replicate, which is convenient for large-scale production.

3) High reliability: Analog devices are easily affected by electromagnetic waves, ambient temperature and other factors, and the analog signal changes continuously, and the slightest interference is reflected immediately. And the digital device is a logic device, and the digital signal score is represented by the binary representation of "0" and "1", and the interference of a certain range will not cause the change of the digital value, therefore, the anti-interference performance of the digital signal processing system is strong, the reliability is high, and the preservation of data can also be permanently stable.

4) High precision: The data representation accuracy of analog devices is low, and it is difficult to reach more than 10-3, while digital signal processors and digital devices can achieve a word length of 64 bits, and the accuracy of expressing data can reach more than 10-18.

The biggest feature of digital processing should be that a large number of complex processing can be realized with software, such software can run on a computer, can also run on DSP microprocessor, therefore, the size of the system is reduced, reliability, stability is improved, and debugging and changing system functions become convenient. These are the reasons why communication electronic products such as mobile ** are becoming more and more abundant in functions and higher in performance, and the volume is smaller and smaller in meters.