Introduction - Signals & System 1 Digital Signal Processing Digital Signal Processing (DSP) is a field that focuses on the analysis, modification, and synthesis of signals such as sound, images, and sensor readings.
Introduction - Signals & System 2 DSP Scheme Analog Input: The Analog Signals are the raw signal that needs to be processed for real-world applications such as Sound waves picked up by a microphone, temperature from a sensor, voltage from an electrical circuit.
Introduction - Signals & System 3 DSP Scheme Analog Filter : T he input signal is processed with an electronic low-pass filter to remove all frequencies above the Nyquist frequency (one-half the sampling rate). Reduces unwanted high-frequency components that could cause aliasing (distortion during sampling). The filter ensures that only relevant frequencies pass through to the next stage.
Introduction - Signals & System 4 DSP Scheme ADC : The analog signal is sampled at regular intervals (sampling rate). The ADC converts these samples into digital values (binary numbers). Process of ADC Sampling: The analog signal is sampled at fixed intervals. Quantization: Each sample’s amplitude is converted into a digital number. Encoding: The digital values are encoded into a format that the processor can understand.
Introduction - Signals & System 5 DSP Scheme DS Processor A specialized processor or a general-purpose digital computer that manipulates the digital signal. Applies DSP algorithms like filtering (lowpass, highpass , bandpass), modulation, compression, or other mathematical operations to the digital signal. The DS processor is used to reduce noise, enhance the signal and to analyse the frequency.
Introduction - Signals & System 6 DSP Scheme DAC Converts the processed digital signal back into an analog signal, which can be used in real-world applications. The digital values from the DS processor are translated into analog voltage levels. The output signal is discrete in amplitude but continuous in time (sample-and-hold signal).