Digital Signal processing is the use of computer algorithms to perform signal processing on digital signals. As a subcategory or field of digital signal processing, digital image processing has many advantages over analog image processing. It allows a much wider range of algorithms to be applied to the input data and can avoid problems such as the build-up of noise and signal distortion during processing. Since images are defined over two dimensions (perhaps more) digital image processing may be modeled in the form of multidimensional systems.
This App is meant for the students of E&TC, Electrical and Computer Science engineering. In addition, it should be useful for any enthusiastic reader who would like to understand more about various signals, systems, and the methods to process a digital signal.
Topics Covered in this App are Listed Below
Signals-Definition
Basic CT Signals
Basic DT Signals
Classification of CT Signals
Classification of DT Signals
Miscellaneous Signals
Operations on Signals Shifting
Operations on Signals Scaling
Operations on Signals Reversal
Operations on Signals Differentiation
Operations on Signals Integration
Operations on Signals Convolution
Static Systems
Dynamic Systems
Causal Systems
Non-Causal Systems
Anti-Causal Systems
Linear Systems
Non-Linear Systems
Time-Invariant Systems
Time-Variant Systems
Stable Systems
Unstable Systems
System Properties Solved Examples
Z-Transform Introduction
Z-Transform Properties
Z-Transform Existence
Z-Transform Inverse
Z-Transform Solved Examples
DFT Introduction
DFT Time Frequency Transform
DFT Circular Convolution
DFT Linear Filtering
DFT Sectional Convolution
DFT Discrete Cosine Transform
DFT Solved Examples
Fast Fourier Transform
In-Place Computation
Computer Aided Design
Digital Signal Processing Introduction (Contd)
What's Inside a DSP?
Embedded Microprocessors
High Performance Processor Core
Video Instructions
Efficient Control Processing
Superior Code Density
Microcontrollers
Antena designs
Satellite Communication
Smart Grid
Wireless Journals
Information Science
Design and Simulation of E-Slot Patch Antenna with Coaxial Feed for Multi Band Applications
Feedings Techniques
Digital Signal Processing
Characterization, Description and Testing of Digital Systems
significance in digital systems
LTI systems
Impulse Responses
SIGNALS AND INFORMATION
SIGNAL PROCESSING METHODS
NEURAL NETWORKS
APPLICATIONS OF DIGITAL SIGNAL PROCESSING
ADAPTIVE NOISE REDUCTION
BLIND CHANNEL EQUALISATION
SIGNAL CLASSIFICATION AND PATTERN RECOGNITION
LINEAR PREDICTION MODELLING OF SPEECH
DIGITAL CODING OF AUDIO SIGNLS
DETECTION OF SIGNALS IN NOISE
DIRECTIONAL RECEPTION OF WAVES: BEAM-FORMING
DOLBY NOISE REDUCTION
RADAR SIGNAL PROCESSING: DOPPLER FREQUENCY SHIFT
SAMPLING AND ANALOGUE-TO-DIGITAL CONVERSION
SAMPLING AND RECONSTRUCTION OF ANALOGUE SIGNALS
QUANTISATION
Signals, Noise and Information
Signal Processing Methods
Transform-Based Signal Processing
Source-Filter Model-Based Signal Processing
Digital Watermarking
Bio-medical, MIMO, Signal Processing
Echo Cancellation
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