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1
Introduction - Signals & System
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.
2
Introduction - Signals & System
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.
3
Introduction - Signals & System
DSP Scheme
Analog Filter :
• The 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.
4
Introduction - Signals & System
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
1. Sampling: The analog signal is sampled at fixed intervals.
2. Quantization: Each sample’s amplitude is converted into a digital number.
3. Encoding: The digital values are encoded into a format that the processor
can understand.
5
Introduction - Signals & System
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.
6
Introduction - Signals & System
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).

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DSP_ Scheme - Introduction : talks about

  • 1. 1 Introduction - Signals & System 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.
  • 2. 2 Introduction - Signals & System 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.
  • 3. 3 Introduction - Signals & System DSP Scheme Analog Filter : • The 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.
  • 4. 4 Introduction - Signals & System 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 1. Sampling: The analog signal is sampled at fixed intervals. 2. Quantization: Each sample’s amplitude is converted into a digital number. 3. Encoding: The digital values are encoded into a format that the processor can understand.
  • 5. 5 Introduction - Signals & System 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.
  • 6. 6 Introduction - Signals & System 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).