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Digital Signal Processing (DSP) From Ground Up™ in C, Practical DSP in C : FFT, Filter Design, Convolution, IIR, FIR, Hamming Window, Linear Systems,
Created by Israel Gbati
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What you'll learn
- Be able to develop the Convolution Kernel algorithm in C
- Be able able to develop the Discrete Fourier Transform (DFT) algorithm in C
- Be able to develop the Inverse Discrete Fourier Transform (IDFT) algorithm in C
- Be able to develop the Fast Fourier Transform (FFT) algorithm in C
- Be able to perform spectral analysis on ECG signals in C
- Be able to design and develop Windowed-Sinc filters in C
- Be able to design and develop Finite Impulse Response (FIR) filters in C
- Be able to design and develop Infinite Impulse Response (IIR) filters in C
- Be able to develop the FFT Convolution algorithm in C
- Be able to develop the First Difference algorithm in C
- Be able to develop the Running Sum algorithm in C
- Be able to develop the Moving Average filter algorithm in C
- Be able to develop the Recursive Moving Average filter algorithm in C
- Be able to develop signal statistical algorithms in C
- Be able to build passive Low-pass and High-pass filters
- Be able to build Modified Sallen-Key filters
- Be able to build Bessel, Chebyshev and Butterworth filters
- Understand all about Linear Systems and their characteristics
- Understand how to synthesize and decompose signals
- Understand the relationship between the delta function and the Impulse response
- Be able to plot signals with gnuplot
- Be able to give a lecture on Digital Signal Processing (DSP)
- Be able to suppress noise in signals
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