Monte Carlo Simulation of Channel Capacity for Uniformly Distributed MIMO Linear Base Stations
MATLAB simulation of MIMO channel capacity using Monte Carlo methods with uniformly distributed linear base station configurations.
Histogram Equalization
Histogram equalization is an image processing technique that redistributes pixel intensities to transform an image's histogram from a concentrated range to a uniform distribution across the entire grayscale spectrum. This non-linear stretching operation enhances contrast by making pixel counts approximately equal within intensity ranges. While effective for improving local contrast, it may reduce grayscale levels and cause unnatural over-enhancement in high-peak histograms. Implementation typically involves calculating cumulative distribution functions and mapping original intensities to new values.
Generating Uniformly Distributed Random White Noise Signals
Generating uniformly distributed random white noise signals and observing their data distribution through histograms, with implementation approaches using programming languages like MATLAB or Python's random number generation functions.
Enhanced SIFT Algorithm Implementation with Harris Operator and Dimensionality Reduction
This implementation addresses limitations in standard SIFT by integrating Harris corner detection for more efficient feature point localization and reducing feature vector dimensionality while maintaining rotation and scale invariance. The approach significantly improves computational efficiency and robustness in image registration tasks.
Generation of Uniformly Distributed White Noise and Related Signals
Generate a uniformly distributed white noise signal with zero mean and power p, plot its waveform, and validate its distribution. Additionally, generate zero-mean Gaussian white noise with power 0.1, sinc signals, chirp signals, and demonstrate linear convolution operations with implementation details.
MATLAB Program for Poisson Uniform Distribution-based WSN Network Topology
A MATLAB implementation for generating and analyzing wireless sensor network (WSN) topologies using Poisson uniform distribution, featuring node deployment simulation and connectivity analysis capabilities.
16-Element Uniform Linear Array with Half-Wavelength Element Spacing
A 16-element uniform linear array with half-wavelength spacing employs uniformly weighted conventional beamforming. Five uncorrelated far-field target sources transmit signals from azimuth angles -40°, -42°, -5°, 30°, and 33° relative to the array, each with equal 10dB signal-to-noise ratio at reception. Comparative analysis is performed between beamspace and element-space MUSIC algorithms for direction of arrival estimation.
Uniformly Distributed Random Numbers with Gaussian Distribution Generation Methods
Generating uniformly distributed random numbers and converting them to Gaussian distribution using two primary methods: 12-Sum Method and Box-Muller Transformation, with code implementation considerations
Convenient Random Number Generation
MATLAB-based random number generation solution supporting uniform distribution, Gaussian distribution, and other statistical distributions with practical code implementation examples
MATLAB Examples for Random Number Generation
MATLAB Examples for Generating Different Types of Random Numbers with Code Implementation Details