際際滷

際際滷Share a Scribd company logo

DTSP Functionalities (1).pptx

Download as PPTX, PDF
Y
yogeshwaran k

This document provides an overview of discrete time signal processing (DTSP) functionalities. It discusses key concepts in DTSP including discrete-time signals, sampling, discrete systems, and signal processing. It also describes time domain and frequency domain analysis. Filtering techniques in DTSP are explained, including low-pass, high-pass, band-pass and notch filtering. Signal sampling and applications of DTSP such as speech processing, image processing, audio compression and communications are also summarized.

1 of 14
Download to read offline
DTSP functionalities Mr.K.Yogeshwaran KIT-CBE
Introduction to Discrete Time Signal Processing Discrete time signal takes certain numerical values at specified discrete instants of time, and between these specified instants of time, the signal is not defined. Hence, a discrete time signal is basically a sequence of numbers.
Key Concepts in DTSP Discrete-time signals Sampling Discrete systems Signal processing
Time Domain Analysis Time domain analysis provides the transitory response of a system to be analyzed, and it permits a better understanding of the flow of both mechanical and electrical energies. In general, this includes wave propagation, the structural changes of a system, and electric potential generated by external excitations
Frequency Domain Analysis Frequency domain is a term used to describe the analysis of mathematical functions or signals with respect to frequency, rather than time. The most common purpose for analysis of signals in the frequency domain is the analysis of signal properties.
Filtering in DTSP Low-pass filtering High-pass filtering Band-pass filtering Notch filtering
Low-pass filtering A low-pass filter (LPF) is a circuit that only passes signals below its cutoff frequency while attenuating all signals above it. It is the complement of a high-pass filter, which only passes signals above its cutoff frequency and attenuates all signals below it.
Low Pass Filter Waveform
High Pass Filter A high-pass filter is an EQ curve that is used to remove low- frequency sounds from an audio signal. It is called a high-pass filter because it allows high-frequency signals to pass through, while attenuating (reducing the amplitude of) lower- frequency signals
High Pass Filter Waveform
Band Pass Filter A bandpass filter allows signals within a selected range of frequencies to be heard or decoded, while preventing signals at unwanted frequencies from getting through. Signals at frequencies outside the band which the receiver is tuned at, can either saturate or damage the receiver.
Band Pass Filter Waveform
Signal Sampling In signal processing, the term sampling refers to the process of reducing a continuous-time (CT) signal to a discrete-time (DT) signal, which is defined only on a discrete subset of the time axis.
Applications of DTSP Speech processing Image processing Audio compression Communications (modulation/demodulation)

More Related Content

DTSP Functionalities (1).pptx

  • 2. Introduction to Discrete Time Signal Processing Discrete time signal takes certain numerical values at specified discrete instants of time, and between these specified instants of time, the signal is not defined. Hence, a discrete time signal is basically a sequence of numbers.
  • 3. Key Concepts in DTSP Discrete-time signals Sampling Discrete systems Signal processing
  • 4. Time Domain Analysis Time domain analysis provides the transitory response of a system to be analyzed, and it permits a better understanding of the flow of both mechanical and electrical energies. In general, this includes wave propagation, the structural changes of a system, and electric potential generated by external excitations
  • 5. Frequency Domain Analysis Frequency domain is a term used to describe the analysis of mathematical functions or signals with respect to frequency, rather than time. The most common purpose for analysis of signals in the frequency domain is the analysis of signal properties.
  • 6. Filtering in DTSP Low-pass filtering High-pass filtering Band-pass filtering Notch filtering
  • 7. Low-pass filtering A low-pass filter (LPF) is a circuit that only passes signals below its cutoff frequency while attenuating all signals above it. It is the complement of a high-pass filter, which only passes signals above its cutoff frequency and attenuates all signals below it.
  • 8. Low Pass Filter Waveform
  • 9. High Pass Filter A high-pass filter is an EQ curve that is used to remove low- frequency sounds from an audio signal. It is called a high-pass filter because it allows high-frequency signals to pass through, while attenuating (reducing the amplitude of) lower- frequency signals
  • 10. High Pass Filter Waveform
  • 11. Band Pass Filter A bandpass filter allows signals within a selected range of frequencies to be heard or decoded, while preventing signals at unwanted frequencies from getting through. Signals at frequencies outside the band which the receiver is tuned at, can either saturate or damage the receiver.
  • 12. Band Pass Filter Waveform
  • 13. Signal Sampling In signal processing, the term sampling refers to the process of reducing a continuous-time (CT) signal to a discrete-time (DT) signal, which is defined only on a discrete subset of the time axis.
  • 14. Applications of DTSP Speech processing Image processing Audio compression Communications (modulation/demodulation)