With 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.
DSP From Ground Up™ on ARM Processors
This version of the course focuses on developing DSP algorithms for ARM microcontrollers leveraging the microcontrollers features such SIMD, MAC, Floating Point Unit (FPU) and the ARM CMSIS-DSP Library.
By the end of this course you should be able develop efficient DSP algorithms using MAC and SIMD instructions , develop RealTime Digital Signal Processing firmware , master the CMSIS-DSP Library, develop and test the Convolution Kernel algorithm on ARM processors, develop and test the Discrete Fourier Transform (DFT) algorithm on ARM processors, develop and test the Inverse Discrete Fourier Transform (IDFT) algorithm on ARM processors, design and develop Finite Impulse Response (FIR) filters on ARM processors, design and develop Infinite Impulse Response (IIR) filters on ARM processors, develop Windowed-Sinc filters on ARM procesors, build Modified Sallen-Key filters, build Bessel, Chebyshev and Butterworth filters, develop the Fast Fourier Transform (FFT) algorithm on arduino, even give a lecture on DSP and so much more. Please take a look at the full course curriculum.
Digital Signal Processing (DSP) From Ground Up™ in C
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.
Digital Signal Processing (DSP) From Ground Up™ with MATLAB
This version of the course uses the MATLAB programming language.
By the end of this course you should be able to perform Convolution with matlab, perform Discrete Fourier Transform (DFT) with matlab, perform Inverse Discrete Fourier Transform (IDFT) with matlab , design and develop Finite Impulse Response (FIR) filters with matlab, design and develop Infinite Impulse Response (IIR) filters with matlab, develop Windowed-Sinc filters with matlab, build Modified Sallen-Key filters, build Bessel, Chebyshev and Butterworth filters, even give a lecture on DSP and so much more. Please take a look at the full course curriculum.
Digital Signal Processing(DSP) From Ground Up™ using Arduino
This version of the course uses the Arduino board and programming language.
By the end of this course you should be able develop and test the Convolution Kernel algorithm on arduino, develop and test the Discrete Fourier Transform (DFT) algorithm on arduino, develop and test the Inverse Discrete Fourier Transform (IDFT) algorithm on arduino, design and develop Finite Impulse Response (FIR) filters on arduino, design and develop Infinite Impulse Response (IIR) filters on arduino, develop Windowed-Sinc filters on arduino, build Modified Sallen-Key filters, build Bessel, Chebyshev and Butterworth filters, develop the Fast Fourier Transform (FFT) algorithm on arduino, even give a lecture on DSP and so much more. Please take a look at the full course curriculum.