Understanding Basic DSP Terminology and Their Relationships

Understanding Basic DSP Terminology and Their Relationships

Digital Signal Processing (DSP) is applied to the collected time-domain signals to obtain their frequency-domain results. When a signal is transformed from the time domain to the frequency domain, there are specific DSP terminologies, and these terms have important mathematical relationships with each other. Are you clear about them? The following are the DSP terminologies. … Read more

Comparison of MCU, DSP, and PLC Advantages and Disadvantages

Comparison of MCU, DSP, and PLC Advantages and Disadvantages

MCU, DSP, and PLC are all important concepts in the field of digital electronics, and they have wide applications in different areas. This article will provide a detailed comparison and analysis of them from the aspects of definition, working principle, application fields, advantages, and disadvantages. 1. Definition MCU, or Microcontroller Unit, is an electronic product … Read more

Differences Between MCU, DSP, and FPGA

Differences Between MCU, DSP, and FPGA

MCU (Microcontroller Unit), DSP (Digital Signal Processor), and FPGA (Field-Programmable Gate Array) are three common types of processors in embedded systems, and they have the following main differences: 1. Purpose MCU is a microcomputer that integrates basic components such as a Central Processing Unit (CPU), memory, input/output interfaces, and timers. It is typically used in … Read more

Physiological Signal Recognition of Emotional Activities with MATLAB

Physiological Signal Recognition of Emotional Activities with MATLAB

Electroencephalography (EEG) and electrocardiography (ECG) not only reflect physiological activity but can also predict brain age and identify specific mental activities. As the importance of their complex features becomes increasingly prominent, MATLAB, as a powerful signal processing tool, is gaining favor among researchers. Written by Wu Dake Edited by Wei Xiao A study published in … Read more

The Ultimate Tool for Debugging Hardware Bugs – New Logic Analyzer

The Ultimate Tool for Debugging Hardware Bugs - New Logic Analyzer

Background The most commonly used tool in the development of electronic products is the oscilloscope. However, with the advancement of microprocessors such as ARM, X86, MIPS architectures, GPUs, deep learning processors, and the rapid growth of smart hardware, various logical bugs in hardware are frequently encountered. When issues arise with various interfaces of SoC (System … Read more

Analysis and Troubleshooting of Profibus-DP Communication Failures

Analysis and Troubleshooting of Profibus-DP Communication Failures

Industrial Control Classroom Industrial Control Classroom【www.gkket.com】Essential Website for Engineers Add WeChat:gkket123 Join a 500-member WeChat group Electrical Automation – Free Materials Worth Over Ten Thousand Yuan Click to Download for Free (DownLoad) With the development of automatic control technology, the application of field bus technology in industrial control is becoming increasingly widespread. The reliability of … Read more

Time Domain and Frequency Domain Analysis of ADC

Time Domain and Frequency Domain Analysis of ADC

Here, we introduce the concepts of time domain and frequency domain. The time domain shows how the amplitude of a signal varies over time. In the time domain example, we create an unusual waveform by adding two sine waves. One is a sine wave with a peak voltage of 1V and a frequency of 1kHz, … Read more

Environmental Noise Monitoring and Signal Separation in Industrial PCs

Environmental Noise Monitoring and Signal Separation in Industrial PCs

In industrial sites, the noise generated by equipment operation not only affects the working environment but may also obscure important equipment failure signals. As an engineer with over ten years of experience in industrial noise control, I will detail how to utilize Python for efficient noise monitoring and signal separation. 1. Overview of Signal Processing … Read more

MATLAB Signal Simulation | Understanding Frequency Resolution of Fourier Transform

MATLAB Signal Simulation | Understanding Frequency Resolution of Fourier Transform

We know that the Fast Fourier Transform (FFT) is an important mathematical tool in signal processing. Generally speaking, the result of the Discrete Fourier Transform (DFT) of a signal with N points will also have N data points in the frequency domain. However, in practical applications, performing FFT on a signal often involves the issue … Read more