1/9/2023 0 Comments Dspic filter designerThis outstanding achievement of results reflects that this automated system can effectively replace manual ceramic tile detection system with better accuracy and efficiency. The processing time for one tile was approximately 2 seconds. The results were outstanding with of 96.36% detection accuracy rate. The system was checked with 110 real ceramic tiles consisting of defected tiles with cracks, corner damages and color variations. Based on this comparison the tile quality is classified. The tiles are compared with a good quality reference tile using image processing concepts using Matlab software. This system can detect color variations and defects such as corner damages, edge damages and middle cracks on the surface of the tile with high accuracy and efficiency. proposes an automated inspection system for ceramic tile industry based on image processing techniques. Further, the accuracy of the defect detection is lower due to harsh industrial environment and human errors. Manual inspection is labor intensive, costly and less in efficiency. Still quality control of ceramic tile industry is done mostly by manually. In Ceramic tile industry the quality control process plays a major role to enhance quality standards. El presente artículo incluye resultados que apuntan en esta dirección, incorporando herramientas tecnológicas basadas en el diseño e implementación de controladores híbridos, para manipular el desempeño de circuitos convertidores de potencia como solución al problema de mantener regulados los niveles de tensión a la salida del circuito. ![]() Por otro lado, las herramientas tecnológicas actuales facilitan la implementación de algoritmos complejos de control a partir del uso de dispositivos programables como los fpga (del inglés, Field Programmable Gate Array), los fpaa (del inglés, Field Programmable Analog Array), los microcontroladores dspic, los PSoC (del inglés, Programmable System on-Chip) o los dsp (del inglés, Digital Signal Processor), combinando altas prestaciones de memoria y velocidad de procesamiento, con la flexibilidad dada por reconfiguraciones circuitales programadas. Algunos enfoques de control híbrido incluyen el control por modos deslizantes (smc por sus siglas en inglés) y el control óptimo, cuya formulación matemática busca la estabilidad del sistema a través de la teoría de estabilidad de Lyapunov en complemento con la matemática hamiltoniana y lagrangiana. Functions - polynomials, sine, cosine, arbitrary waveforms.Random numbers - generating pseudo random numbers. ![]() Finite word length effects (coefficient quantization, limit cycles).Overview of programming the dsPIC in 'C' and Assembler.Cascade and parallel IIR filter structures.Design techniques (manual, time-domain methods, frequency domain methods).Generating coefficients for FIR filters (Parks-McClellan, Windowing, Frequency Sampling).Overview of digital filters - FIR and IIR.Quantization (linear, non-linear, noise).Time and frequency domain description of discrete-time signals.Overview of Concepts Underlying Discrete-Time Signals and Systems.Specifying filters (magnitude response, phase response, transient response).Filter types (low pass, highpass, bandpass.Frequency and time description of signals and systems.Those features of the dsPIC architecture relevant to DSP and to teach the practical aspects of the design and implementation of DSP filters on a dsPIC and the use of Fourier Transform techniques to perform frequency analysis. The objectives of the course are to provide an understanding of the uses and limitations of DSP and Its goal is to ensure that engineers learn how to select and parameterize the most appropriate DSP Algorithms for the task at hand. Rather it aims to provide a sound understanding of the principles, uses and limitations of Digital Signal Processing. This 5 day course avoids digging deep into the underlying theory and maths. To take advantage of the DSP capabilities of the dsPIC architecture a sound understanding of the principles and practice of Digital Signal Processing is Required. ![]() This is an intensive 5-day course for engineers who have relatively little experience of DSP,or, whose knowledge of DSP has become somewhat rusty. Course M206 A Practical Introduction to Digital Signal Processing (DSP) for dsPIC developers (5 days)
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