h264, yuv420p, 1280×720 |English, aac, 44100 Hz, 2 channes, s16 | 7h 39 mn | 5.2 GBInstructor: Israel GbatiPractical DSP in C : FFT, Filter Design, Convolution, IIR, FIR, Hamming Window, Linear Systems, Chebyshev filters etc.
What you’ll learnBe able to develop the Convolution Kernel algorithm in CBe able able to develop the Discrete Fourier Transform (DFT) algorithm in CBe able to develop the Inverse Discrete Fourier Transform (IDFT) algorithm in CBe able to develop the Fast Fourier Transform (FFT) algorithm in CBe able to perform spectral analysis on ECG signals in CBe able to design and develop Windowed-Sinc filters in CBe able to design and develop Finite Impulse Response (FIR) filters in CBe able to design and develop Infinite Impulse Response (IIR) filters in CBe able to develop the FFT Convolution algorithm in CBe able to develop the First Difference algorithm in CBe able to develop the Running Sum algorithm in CBe able to develop the Moving Average filter algorithm in CBe able to develop the Recursive Moving Average filter algorithm in CBe able to develop signal statistical algorithms in CBe able to build passive Low-pass and High-pass filtersBe able to build Modified Sallen-Key filtersBe able to build Bessel, Chebyshev and Butterworth filtersUnderstand all about Linear Systems and their characteristicsUnderstand how to synthesize and decompose signalsUnderstand the relationship between the delta function and the Impulse responseBe able to plot signals with gnuplotBe able to give a lecture on Digital Signal Processing (DSP)Be able to suppress noise in signalsRequirementsHaving basic C programming skills is a plusDescriptionWith a programming based approach, this course is designed to give you a solid foundation in the most useful aspects of Digital Signal Processing (DSP) in an engaging and easy to follow way.
The goal of this course is to present practical techniques while avoiding obstacles of abstract mathematical theories.
To achieve this goal, the DSP techniques are explained in plain language, not simply proven to be true through mathematical derivations.
Still keeping it simple, this course comes in different programming languages and hardware architectures so that students can put the techniques to practice using a programming language or hardware architecture of their choice.
This version of the course uses the C programming language.
By the end of this course you should be able develop the Convolution Kernel algorithm in C, develop the Discrete Fourier Transform (DFT) algorithm in C, develop the Inverse Discrete Fourier Transform (IDFT) algorithm in C, design and develop Finite Impulse Response (FIR) filters in C, design and develop Infinite Impulse Response (IIR) filters in C, develop Windowed-Sinc filters in C, build Modified Sallen-Key filters, build Bessel, Chebyshev and Butterworth filters, develop the Fast Fourier Transform (FFT) algorithm in C , even give a lecture on DSP and so much more.
Please take a look at the full course curriculum.
Who this course is for:Engineering StudentsC DevelopersEmbedded Systems EngineersComputer Engineering studentsHobbyistsEmbedded Systems Instructors
