How the Fourier Transform Works an online course Signal Processing Signals and Systems
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Youtube20,588 learners
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Unlock the world of signals and systems with the online course "How the Fourier Transform Works" led by experienced Electronics Engineer, Mark Newman. Aspiring engineers seeking a deeper understanding of signal processing will find this course invaluable. Mark's 25 years of practical experience will guide you through the complex world of mathematical concepts using visual and intuitive explanations. Through the power of video and animation, you'll gain the tools needed to turn theory into practical engineering applications. Don't let math hold you back; join this course and embark on a rewarding career in creating and inventing.
Introduction to Signal Processing: An Overview (Lecture 1)
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Youtube10,500 learners
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Dive into the fascinating world of signal processing with the "Introduction to Signal Processing: An Overview" course (Lecture 1). This series serves as an excellent first step into the subject, offering practical applications using MATLAB and Python. Delve into the fundamentals of signal processing with insights from the renowned textbook "Systems and Signals" by Oppenheim, Willsky, and Nawab. Whether you're a beginner or looking to expand your knowledge, this course provides a solid foundation for understanding and working with signals.
Master the Fourier transform and its applications
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Udemy14,443 learners
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Unravel the mysteries of the Fourier transform and its wide-ranging applications with the online course "Master the Fourier Transform and its Applications." Led by seasoned instructor Mike, this course delves into the theoretical and computational foundations of the Fourier transform, emphasizing its significance in signal processing, data analysis, and image filtering. With MATLAB and Python code provided, learners gain hands-on experience, making it ideal for data scientists, engineers, computer scientists, and more. Expand your skills in digital signal processing and image processing while benefiting from Mike's expertise, garnered from two decades of research and teaching.
Signal processing problems solved in MATLAB and in Python
4.7
Udemy13,573 learners
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Delve into the captivating world of digital signal processing (DSP) with the course "Signal Processing Problems Solved in MATLAB and in Python." Led by an experienced instructor, learners will unlock the secrets hidden within time series data through practical implementation of DSP techniques in MATLAB and Python. Gain valuable insights into denoising, simulating signals, and working with noisy data. With over 10,000 lines of code and sample datasets, this course offers a hands-on learning experience for students with some programming knowledge. Prepare to unravel the mysteries of nature and embark on a rewarding journey in signal processing.
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