Explains signal sampling, the need for discrete sampling, errors, quantization, and choosing the right sampling period.
Introduces digital circuits, covering binary systems, logic operators, Boolean algebra, memory elements, and practical examples like BCD decoders and shift registers.
Covers quantum computing fundamentals, ADC architectures, oversampling advantages, noise shaping, glitch phenomena, and digital integrated circuit noise.
Explores representing analog signals digitally through sampling and quantization, discussing sampling frequency, undersampling consequences, and the stroboscopic effect.
