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Digital Signal Processing - v2.4 latest version is 2.4, release date 2020-04-15, and has size 9.4 MB.Developed by Softecks, Digital Signal Processing - v2.4 requires Android version at least Android 4.4+. Therefore you must update your phone if necessary.
Pretty much loaded, about 1000 downloads. You can update apps that have been downloaded or installed individually on your Android device if you want. Updating your apps gives you permission access to the latest features and improve application security and stability.
✴ 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
- App Performance Improved
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