Signal Processing
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Contents
- 1 Signals
- 1.1 Electromagnetic Spectrum
- 1.2 Dimensions: 1D, 2D and more
- 1.3 Analog
- 1.4 Digital
- 1.5 Acquisition
- 1.6 Information and Entropy
- 1.7 Nyquist–Shannon
- 1.8 SNR (Signal to Noise Ratio)
- 1.9 Modulation
- 1.10 Bandwidth
- 1.11 Channel Capacity
- 1.12 Compression
- 1.13 Error Detection and Correction
- 1.14 Transforms
- 1.15 Convolution
- 1.16 Correlation and Covariance
- 1.17 Amplification, Filtering, Conditioning
- 1.17.1 Amplifier classes
- 1.17.2 TIA (TransImpedance Amplifier) -- often used with PIN photodiode and APD (avalanche photodiode) for light to voltage converters
- 1.17.3 Feedback
- 1.17.4 FIR (Finite Impulse Response)
- 1.17.5 IIR (Infinite Impulse Response)
- 1.17.6 LMS (Least Mean Squares)
- 1.17.7 RLS (Recursive Least Squares)
- 1.17.8 MMSE (Minimum Mean Square Error)
- 1.17.9 Network Synthesis Filters
- 1.18 Signal Detection
- 1.19 Control, Signal Modeling, Sensor Fusion, State Estimation, Tracking, Prediction
- 1.20 DSP (Digital Signal Processing)
Signals
Electromagnetic Spectrum
IR != thermal
Dimensions: 1D, 2D and more
Time: single point in time measurement. 1D: Sound 2D: Images, Video 3D: Volumetric(voxel, Tomography) vs Depth (stereo binocular and trinocular)
Analog
Digital
Acquisition
Absolute vs. Relative
Differential
Physical Sensor Response
Multisensor Beam Forming
echo suppression AEC (acoustic echo cancellation)
Adaptive Feedback Cancellation
Information and Entropy
Nyquist–Shannon
SNR (Signal to Noise Ratio)
Modulation
Spark-gap, CW, AM, FM, Narrow FM, SSB, FSK, AFSK, PSK, Quadrature, Hell, PWM (Pulse Width Modulation), PDM (Pulse-Density Modulation) and many, many more.
