Let’s Learn Together Grateful for You In the wonderful world of coding and research, we can gain many unique insights. From the perspective of algorithm optimization, it is like carefully polishing a piece of art; each simplification of code and improvement of algorithms is akin to removing impurities, making it more efficient. This inspires us … Read more
Based on Matlab, this article simulates the Fresnel diffraction phenomenon, analyzing the relationship between the number of diffraction circles and the diffraction distance, with definable parameters such as radius, depth, transmission distance, and the edge length of fused quartz. The program has been debugged and can be run directly to obtain circular hole patterns and … Read more
Solving static linear elastic problems with hexahedral elements based on Matlab. A 3D linear finite element algorithm calculates the stiffness matrix for all elements and outputs visual results of model deformation and stress distribution. The program has been debugged and can be run directly. Note: To download the source program, please click the end of … Read more
First, determine the passband cutoff frequency and the stopband cutoff frequency of the Chebyshev high-pass digital filter. Call cheb1ord(), cheb1ap(), zp2tf(), lp2hp(), and bilinear() to obtain the low-pass digital filter model. Use freqz() to view the filter’s amplitude-frequency characteristics and lsim() to observe the signal filtering effect. %%qiebixuefu gaotong shuzi lvboqi sheji%%cheb1ord();cheb1ap();zp2tf();lp2hp();%%freqs();bilinear();freqz();lsim();%%%%%%%%%%%clear allclose all;clc;%%%%%%%%%%%%%%%Sampling frequency … Read more
Category 1: Basic Data Processing and Algorithms This type of algorithm is fundamental to programming, but in microcontrollers, special attention must be paid to efficiency and resource usage. Lookup Method Trigonometric Functions: For example, calculating sin/cos values when displaying waveforms. Non-linear Calibration: Such as temperature compensation for thermocouples and non-linear correction for sensors. Encoding and … Read more
Based on MATLAB, the multi-layer encoding immune genetic algorithm implements the multi-objective production scheduling problem. The multi-layer encoding genetic algorithm divides the individual encoding into multiple layers, with each layer representing different meanings. The multi-layer encoding collectively expresses the solution to the problem, allowing a single chromosome to accurately represent the solution to complex issues. … Read more
Mastering microcontroller development involves not only programming skills but also a deep understanding and flexible application of basic circuit modules. Below are 20 classic circuits that have been repeatedly validated in practical projects, forming the hardware foundation for the vast majority of microcontroller applications. Category of Circuit Modules Core Functionality Key Points Power Management and … Read more
————————————————————————-————————————————————————-——————————————————————————————————————————————————————————- The research team from Peking University has published significant research results in the prestigious international journal “Nature Electronics,” successfully developing a high-precision analog matrix computation chip based on resistive random-access memory (ReRAM). This breakthrough shines like a brilliant new star in technology, providing a new path for overcoming global computing power bottlenecks and attracting … Read more
🦉【Quantum Pigeon Keeper】: Cultivating discrete wave-particle in the gaps of signals🪐【Black Hole Convenience Store】: Selling event horizons with complimentary spacetime wrinkles🧦【Microwave Sock Clan】: Heating left and right socks to create quantum entanglement🌫️【WIFI Dew Drops】: Condensing on routers in the morning, evaporating into garbled text at noon📡【Dandelion Router】: Wherever the seeds drift, the signal opens🕳️【Bluetooth Cavernology】: … Read more
Intrinsic Time Scale Decomposition (ITD) based on MATLAB accurately performs time-frequency-energy (TFE) analysis of signals. The ITD method overcomes many limitations of traditional methods (such as those based on Fourier Transform or Wavelet Transform) and newer methods (based on Empirical Mode Decomposition) for TFE analysis of nonlinear and/or non-stationary signals. The ITD method has clearly … Read more