Signal Processing Notes¶
Table Of Contents - Overview - Applications - Tools \& frameworks - References
Overview¶

Signal processing is an electrical engineering subfield that focuses on analyzing, modifying and synthesizing signals, such as sound, images, potential fields, seismic signals, altimetry processing, and scientific measurement
Applications¶
- Audio signal processing– for electrical signals representing sound, such as speech or music
- Image processing – in digital cameras, computers and various imaging systems
- Video processing – for interpreting moving pictures
- Wireless communication – waveform generations, demodulation, filtering, equalization
- Control systems
- Array processing – for processing signals from arrays of sensors
- Process control – a variety of signals are used, including the industry standard 4-20 mA current loop
Signal types¶

Sequential Signals¶

Signal dimensions¶

Filter types¶
- Finite Impulse Response (FIR)
- Infinite Impulse Response (IIR)
- Gaussian filter
- Filtre de Kalman
State estimation¶
Tools & frameworks¶
- Matlab
- Octave
- Wolfram
References¶
Wikipedia : - Signal Processing - Convolution
- Finite Impulse Response (FIR)
- Infinite Impulse Response (IIR)
- Gaussian filter
- Vector
- Statistics
- Descriptive statistics
- Inferential statistics
- Probability theory
- Estimation Theory
- Estimator
- Gradient descent
Matlab : - Signal Processing Toolbox