XNXN Matrix Matlab Plot Example - Summary
The phase retrieval algorithms perform well numerically in comparison to standard approaches and also prove two theorems, one which guarantees the recovery of discrete, bandlimited signals x ∈ Cd from fewer than d STFT magnitude measurements and another which establishes a new class of deterministic coded diffraction pattern measurements which are guaranteed to allow efficient and noise-robust recovery.
The phase retrieval problem, i.e., reconstructing a signal from phaseless measurements, is at the core of many scientific breakthroughs related to the imaging of cells [46], viruses [44], and nanocrystals [15], and also advances in crystallographic imaging [28], optics [48], astronomy [18], quantum mechanics [16], and speech signal processing [2, 24]. As a result, many sophisticated algorithms, which achieve great empirical success, have been developed for solving this problem in applications throughout science and engineering for widely used examples).
XNXN Matrix Matlab Plot Example – Toolbox
Toolbox | Description |
5G Toolbox: | Simulate, analyze, and test 5G communications systems |
Aerospace Toolbox: | Analyze and visualize aerospace vehicle motion using reference standards and models |
Antenna Toolbox: | Design, analyze, and visualize antenna elements and antenna arrays |
Audio Toolbox: | Design and analyze speech, acoustic, and audio processing systems |
Communications Toolbox: | Design and simulate the physical layer of communications systems |
Deep Learning Toolbox: | Design, train, and analyze deep learning networks |
DSP System Toolbox: | Design and simulate streaming signal processing systems |
Financial Toolbox: | Analyze financial data and develop financial models |
LTE Toolbox: | Simulate, analyze, and test the physical layer of LTE and LTE-Advanced wireless communications systems |
GPU Coder: | Generate CUDA code for NVIDIA GPUs |
MATLAB Compiler: | Build standalone executables and web apps from MATLAB programs |
Radar Toolbox: | Design, simulate, and test multifunction radar systems |
RF PCB Toolbox: | Perform electromagnetic analysis of printed circuit boards |
Satellite Communications Toolbox: | Simulate, analyze, and test satellite communications systems and links |
SerDes Toolbox: | Design SerDes systems and generate IBIS-AMI models for high-speed digital interconnects |
Signal Integrity Toolbox: | Simulate and analyze high-speed serial and parallel links |
Signal Processing Toolbox: | Perform signal processing and analysis |
Statistics and Machine Learning Toolbox: | Analyze and model data using statistics and machine learning |
Symbolic Math Toolbox: | Perform symbolic math computations |
Wavelet Toolbox: | Analyze and synthesize signals and images using wavelets |
You can download the XNXN Matrix Matlab Plot Example PDF using the link given below.