XNXN Matrix Matlab Plot Example
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.