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Numerical analysis matlab source, with the detailed design shows that the implementation of more efficient
Date : 2025-06-13 Size : 539kb User : 范威

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Simulation of digital baseband modulation,it is very good for the users to deepen their understanding
Date : 2025-06-13 Size : 80kb User : 阳关

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A simple (de) compression program using Run Length Encoding.Compression is done that easy: compressedData = rle (originalData) Decompression: originalData = rle (compressedData)
Date : 2025-06-13 Size : 1kb User : 阳关

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Mandelbrot type of simulation and rendering Fig. mandelbrot.m, mandelbrotdemo1.m, mandelbrotdemograph.fig
Date : 2025-06-13 Size : 126kb User : 楚燕

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A WaterFillingAlgorithm, information on a comprehensive, thorough analysis of the study were very helpful!
Date : 2025-06-13 Size : 1kb User : 阳关

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This program includes: [5 7] convolutional code (encoder)+ BPSK+ AWGN+ MAP (decoder). It evaluates Bit Error Rate and plots it versus SNR(signal to Noise Ratio).
Date : 2025-06-13 Size : 1kb User : 阳关

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This is a collection of m-files I created to complete a research project into the DC components of various encoding techniques. Eight of the files create random bit sequences that conform to their coding requirements. Th
Date : 2025-06-13 Size : 4kb User : 阳关

This submission includes the presentation and model files that were used in delivering a webinar on 12-15-05 that covered the topic of modeling Hybrid Electric Vehicles. Hybrid electric vehicles (HEVs) have proven they c
Date : 2025-06-13 Size : 3.23mb User : 阳关

The model consists of two systems, a climate control system and an electrical system. This allows for examination of the loading effects of the climate control system on the car s electrical system.
Date : 2025-06-13 Size : 48kb User : 阳关

New users and old of optimization in MATLAB will find useful tips and tricks in this document, as well as examples one can use as templates for their own problems. Use this tool by editing the file optimtips.m, then exec
Date : 2025-06-13 Size : 89kb User : 阳关

ICP fit points in data to the points in model. Fit with respect to minimize the sum of square errors with the closest model points and data points. Ordinary usage: [R, T] = icp(model,data) INPUT: model- matrix with model
Date : 2025-06-13 Size : 5kb User : 阳关

Finds a (near) optimal solution to the Traveling Salesman Problem (TSP) by setting up a Genetic Algorithm (GA) to search for the shortest path (least distance needed to travel to each city exactly once)
Date : 2025-06-13 Size : 3kb User : 阳关
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